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Review

Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells

by
Blandy Pamplona Solis
1,2,
Julio César Cruz Argüello
2,*,
Leopoldo Gómez Barba
1,*,
Mayra Polett Gurrola
3,
Zakaryaa Zarhri
3 and
Danna Lizeth TrejoArroyo
3
1
Information Systems Department, University of Guadalajara, Zapopan 45100, Mexico
2
Tecnológico Nacional de México/I. T. Chetumal, Chetumal 77013, Mexico
3
CONACYT-Tecnológico Nacional de México/I. T. Chetumal, Chetumal 77013, Mexico
*
Authors to whom correspondence should be addressed.
Sustainability 2019, 11(23), 6682; https://doi.org/10.3390/su11236682
Submission received: 6 November 2019 / Revised: 18 November 2019 / Accepted: 20 November 2019 / Published: 26 November 2019
(This article belongs to the Collection Sustainable Electric Power Systems Research)

Abstract

:
The growth trend of publications in the field of Proton Exchange Membrane Fuel Cell (PEMFC) was analyzed using bibliometric techniques to the identification of the areas with significant development and the orientations that have guided the research on energy cells. This study extracted the data from Scopus and Web of Science (WoS) databases to compare the bibliometric indicators of the published productions. In spite of bibliometric analysis advantages to knowing about the trends in a study area, this research requires methods to support the investigation process through the selection of a relevant bibliographic portfolio. This study applied the Methodi Ordinatio that provides a new approach to achieve it. A proposed list of the articles ranked by InOrdinatio is presented to compose the final portfolio. The obtained results in the research sub-theme of the Mass Transport in Gas Diffusion Layer (GDL) confirm the complexity in the study area by presenting erratic patterns of exponential growth. United States, China, and Japan are the leading countries on PEMFC publications. These countries have in common a strong spending by the business sector for R&D, and their gross domestic product is greater than 2%.

1. Introduction

The use of fossil fuels for energy generation damage the environment due to the high emission of pollutants such as CO2, NO2 and SO2 [1,2]. Therefore, there are worldwide efforts to develop alternative energy sources to reduce the greenhouse effect and other problems derived from air pollution [3,4,5,6].
Hydrogen is a zero-emissions potential vector of energy that has been studied over the last 30 years. In this sense, alternative technologies have been developed in the generation of electricity using hydrogen like the so-called Proton Exchange Membrane Fuel Cells (PEMFC) [7,8].
Fuel cells are devices that produce electricity through the electrochemical reaction of oxidation, where the used fuel is hydrogen, and the oxidant is pure oxygen or air. The main elements of a PEMFC are the cathode, the anode and the electrolyte membrane. Hydrogen fuel is provided to the anode, and the oxygen is transferred across the cathode. The oxidation of hydrogen produces protons and electrons. Protons pass over the electrolyte membrane, and electrons are transported to the cathode through an external circuit. During the reaction process, the fuel cell produces electricity, water, and heat [9,10,11]. Research on the issue of cells have become popular because they have demonstrated characteristics of scalability, reliability, low or zero pollutants emission and high efficiency concerning internal combustion engines [12,13,14].
Bibliometrics is a resource used to quantify the progress of science and scientific researches. The bibliometric analysis is used to establish indicators to notice the state of knowledge of a specific area by accounting for a particular set of publication data [15]. It is also a tool that supports the understanding of how science progresses. Therefore, it is essential to notice growth in the patterns, the development of a scientific field, the productivity of authors/institutions/countries, as well as the prospective of the investigated area [16,17,18].
The bibliometric study by Huang et al. indicated a prolific growth in the number of articles and patents of fuel cells during the period from 1991 to 2010, showing that there are few countries where publications and patents are concentrated [19,20,21,22]. The Organization for Economic Co-operation and Development (OECD) has found similar behavior patterns on PEMFC scientific publications, having significant growth in the 1990s. The OECD bibliometric study conducted during the period from 1990 to 2000 described the scientific activity of seven main types of cells: Alkaline Fuel Cell (AFC), Direct Methanol Fuel Cell (DMFC), Molten Carbonate Fuel Cell (MCFC), Phosphoric Acid Fuel Cell (PAFC), Proton Exchange Membrane Fuel Cell (PEMFC), Solid Oxide Fuel Cell (SOFC) and Unitized Regenerative Fuel Cell (URFC). This found that PEM, solid oxide, and molten carbonate cells together had a productivity of 75% of total publications [22]. According to the study conducted by Cindrella [20], the topic PEMFC increased its position as a keyword used in papers between the years 1992–2011. In this way, the importance of the PEMFC can be observed in the investigations about clean energy sources. [15] It is important to highlight the importance of the topic of fuel cells in scientific production in countries such as China, where energy and fuel research has as recurring topics: “SOFC”, “hydrogen”, “PEMFC” and “hydrogen production” [23].
The increase of fuel cell publications has shown an S-shaped curve characteristic of sigmoidal growth, based on bibliometric reports that this trend remained in the exponential phase until 2010 [15,20]. In spite of PEMFCs being the most studied field of fuel cell technology research [24,25], there are few bibliometric analyses focused exclusively on the topic and the period of study is only until the year of 2012.
Research has been conducted to improve fuel cell performance due to the concentration losses. Improving the quality of the gas diffusion layer and mass transport can reduce these losses [7,19,26,27,28,29]. Although there is interest in PEMFCs optimization, the selection of bibliographic material to comprise an adequate portfolio in a particular area is a protracted work for the researchers due to the vast publications presented by the scientific databases. The Methodi Ordinatio is a portfolio selection methodology proposed by Pagani et al. which helps to choose the more relevant papers based on three main criteria: the impact factor of the journal in which the paper was published, the number of citations and the year of publication [30,31].
In this sense, the goals of the present article aim to (i) describe quantitively the PEMFC trend research space during the period from 1970 to 2019 in two databases (Web of Science (WoS), Scopus); (ii) achieve an adequate portfolio with the most pertinent articles in the study of “GDL and Mass Transport” field applying bibliometric techniques and the Methodi Ordinatio [30,31], and (iii) recognize relevant subjects in the development of “GDL and Mass Transport” researches over the last ten years. Likewise, this study is an opportunity to support new research by providing quantitative and qualitative data in the PEMFC area.

2. Materials and Methods

A Proton Exchange Membrane Fuel Cell bibliometric study was the first step to help understand the area behavior through extract data from Scopus and Web of Science (WoS) databases. The selection of these databases was due to their importance (WoS more than Scopus) for searching literature [32,33,34,35]. The search period spans from January 1970 till September 2019. The set of keywords and the Boolean operator was determined as (“Fuel Cell *”) AND (PEM OR “Proton Exchange Membrane” OR “Polymer Electrolyte Membrane”). A total of 30,820 articles were found in Scopus and 31,874 in WoS.
The analysis of the recurrence of keywords in the published papers can be used to know the research trends in certain themes of the PEMFC. Through the tool VOSviewer [36,37] the map of co-occurrence of text was made (Figure 1). The words “Cell”, “Membrane”, “Catalyst” and “Model” were the most recurrently appearing in the titles and summaries of the publications. This analysis confirmed that GDL and mass transport topics appeared among the first 50 most used keywords, and support this research.
The selection of a bibliographic portfolio to support the mass transport in a gas diffusion layer in PEM fuel cell research was conducted using the Methodi Ordinatio. Figure 2 shows the nine phases of this methodology.
The next sequence describes the implementation of Methodi Ordinatio to achieve the objective of this study:
  • Phase 1. The intention of research: The purpose of this research is “Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells”.
  • Phase 2. Preliminary research with keywords: The first approach for the search was “PEM” AND “Fuel Cell” AND “Mass Transport” AND “Gas Diffusion Layer”. This test aids in defining a set of keywords for the final search through analysis of relevant words in the articles.
  • Phase 3. Final decision on keyword combinations and databases: Based on the preliminary articles, new words appeared as keywords used commonly by the authors: “Polymer Electrolyte”, “Proton Exchange Membrane”, “Transport Phenomena”, “GDL”, “Mass Transfer”, “Model”, “Simulation”, “PEMFC”, “Modeling”, “Fuel Cells”, “CFD”, “Computational Fluid Dynamics”. After analyzing them, a set of keywords was defined for the final search (Figure 3). WOS and Scopus were selected as databases.
  • Phase 4. Final search in the databases: The string search was comprised of words using wildcard symbols and Boolean operators. Final keywords query was defined as: (“Fuel Cell *”) AND (“PEM” OR “Proton Exchange Membrane OR Polymer Electrolyte Membrane”) AND (“GDL” OR “Gas Diffusion Layer”) AND (“Mass Transfer” OR “Transport Phenomena” OR “Mass Transport”) AND (“Model *” OR “Simulation”). The results obtained were exported in csv and bibText format for later analysis with tools such as VOSviewer and reference manager Mendeley. A total of 363 articles were found in Scopus and 416 in WoS.
  • Phase 5. Filtering procedures: A gross portfolio was obtained in the previous phase. Afterward, a filtering procedure is necessary to obtain the most relevant articles. Figure 3 shows the four filters applied: (i) Eliminate duplicates, remaining 525. (ii) Keep only with works categorized as article, 413 remain. (iii) The research period was set up from 2008 to 2019. After the filter, 327 articles were left. (iv) Apply the index InOrdinatio, items with an InOrdinatio equal or greater than 72 were selected to comprise the final portfolio.
  • Phase 6. Identification of the impact factor, the year of publication, and the number of citations: Through the results extracted from both databases (WoS, Scopus), the year of publication and the number of citation criterion was acquired. The impact factor of the journal was obtained from the Clarivate Analytics Incites Journal Citation Reports [38] or the Scopus Source List [39] web site.
  • Phase 7. Ranking the papers using the InOrdinatio: After the phases 1 to 6 were conducted, the Methodi Ordinatio applies the index InOrdinatio using the Equation (1) presented by Pagani et al. (2015). This coefficient considers the total of citations ( C i ) , the normalized impact factor (IF/1000), a weighting factor ( ) whose value is set by the researcher between a range 1 to 10, the research year, and the publication year to ranking the articles.
    I n O r d i n a t i o = ( I F 1000 ) + [ 10 ( R e s e a r c h Y e a r P u b l i s h Y e a r ) ] + ( C i )
    where:
    • IF = impact factor (JCR, CiteScore, SJR, or SNIP).
    • = coefficient (1 to 10) value of the importance to the year of the article.
    • ResearchYear = year in which the research is being done.
    • PublishYear = year the article was published.
    • C i = total number of citations of the article.
    This study applied InOrdinatio equation with an alpha (α) equal to seven to take into consideration recent important published articles that have citations. The final portfolio proposed in this study is shown in Section 3.2.
  • Phase 8. Finding the full papers: Once the list of articles ranking by InOrdinatio is obtained, the gathering of papers may be done through a reference manager such as Zotero, Mendeley or Citavi. If the full text is not available, the researcher may interchange with the next on the list or if the paper is very relevant may purchase it.
  • Phase 9. Final reading and systematic analysis of the papers: A systematic review is a laborious and wide-spread work; the Methodi Ordinatio provides an order list to help the researcher choose the most relevant papers according to his/her selection criteria and final reading of the selected articles.
As the goal of this paper is the use of bibliometric techniques and inOrdinatio equation to evidence the support of these tools finding an adequate portfolio with the most pertinent articles on the study of “GDL and Mass Transport” fields; the results of the phase nine will be published in a future paper which presents the findings for the theme.

3. Results and Discussion

The obtained results show the tendency growth in PEMFC; this section describes a comparison of the last ten years of the publication percentage of the mass transport in gas diffusion layer. Likewise, a relevant suggested portfolio was obtained through the index InOrdinatio.

3.1. Bibliometric Analysis of PEM Fuel Cells

The goal of the first search was researching articles containing “PEM” and “Fuel cell(s)” in the title, abstract, and keywords published until 2019. The total of published articles found between the years 1970 to 2019 was 30,856 in Scopus, and 31,901 in WOS. The first article indexed in Scopus was published in the Society of Automotive Engineers (SAE) Technical Papers in 1969. The highest scientific production years were 2011 with 2231 publications in Scopus and the year 2018 with 2244 in WoS. Clearly, Figure 4 shows the ascending growth of the number of papers with a sigmoidal behavior for the two databases where it can be observed the stages defined by the Price Law (precursors, exponential, linear, collapse) [40].
During the 50 years of scientific production on the subject of PEMFC, 71,458 authors have contributed to the generation of 31,901 publications according to the results generated in the WOS query. Figure 5 shows the growth trend of the scientific population between the period of 1969 and 2009, reaching the highest amount in 2014 with 10,256 authors. This behavior demonstrates the boom in the issue of fuel cells, considering that in recent years, the maturity in knowledge has been reached by presenting more gradual growth.
Table 1 shows the list of the 30 countries with the highest contribution in the research of the PEMFC; United States, China, and Japan together have almost 50% of the production of the articles worldwide generated. The United States ranks the first place with a total of 6871 publications, followed by China with 5284 and in the third place Japan with 2431. The results are expected since national policies supported the investment made in research and development in these countries to obtain sufficient funds for the growth of fuel cells during these years [23,41,42,43]. Likewise, the investment expenditure in the first three leading countries represents more than 2% of the gross domestic product [44].
The worldwide distribution of leader countries is presented in Figure 6. The Asian continent is the highest publisher with 14,220 items, Europe is the continent with more participating countries, and South America and Africa have the lowest contribution in publications and publisher countries.

3.2. Mass Transport in a Gas Diffusion Layer Bibliographic Portfolio

Once the magnitude of the research in the PEMFC topic was determined through bibliometric techniques, two queries were applied to find the Mass Transport in a Gas Diffusion Layer gross portfolio following the Methodi Ordinatio. The searching string used in the Scopus was: (TITLE-ABS-KEY (“FUEL CELL*”) AND TITLE-ABS-KEY (“PEM” OR “PROTON EXCHANGE MEMBRANE” OR “POLYMER ELECTROLYTE MEMBRANE”) AND TITLE-ABS-KEY (“GDL” OR “GAS DIFFUSION LAYER*”) AND TITLE-ABS-KEY (“MASS TRANSPORT” OR “MASS TRANSFER” OR “TRANSPORT PHENOMENA”) AND TITLE-ABS-KEY (“SIMULATION” OR “MODEL*”)). The used query in WoS included all databases and not only its main collection: (TOPIC: (“FUEL CELL *”) AND TOPIC: (PEM OR “PROTON EXCHANGE MEMBRANE” OR “POLYMER ELECTROLYTE MEMBRANE” ) AND TOPIC: (“GDL” OR “GAS DIFFUSION LAYER*”) AND TOPIC: (“MASS TRANSPORT” OR “MASS TRANSFER” OR “TRANSPORT PHENOMENA”) AND TOPIC: (“SIMULATION” OR “MODEL*”) Timespan: All years databases: WOS, BCI, DIIDW, KJD, RSCI, SCIELO Search language = Auto).
A total of 724 articles comprised the gross portfolio. Table 2 shows the number of papers discarded with the four criteria established in the Ordinatio Method phase five. After the filtering process was executed, 39 most relevant articles remained. Table 3 presents the ranking list with an InOrdinatio index α = 7 of the final portfolio. Two additional columns were included in this table: The position of the articles with α = 5 and α = 10.
Table 3 shows how the position of the articles changes in the ranking list, depending on the alpha used in the InOrdinatio equation. An alpha near to one (α = 1) generates portfolios with classic articles, but if recent papers are more important for the research, then the value of alpha should be closer to 10. One example is the case of Ramasamy´s article [50] which has the 6th position with an alpha equal to 7, but its position changes to 54 applying an alpha equal to 10. In addition, the researchers have the option to select a variable number of articles for the index generated by InOrdinatio and comprise the final portfolio.
The list of 39 articles presented in this study is a no restrictive proposal. Its functionality is to support research and suggest the application of a multicriteria method like InOrdinatio to achieve a relevant and pertinent bibliographic portfolio. The list helps the researchers in their investigation process during the systematic analysis of literature, making the work easier.

3.3. Relevant Subjects in the Development of “GDL and Mass Transport” Research

In this section, a bibliometric study was executed based on the data of 412 articles corresponding to the bibliographic portfolio after applying filter number two. It presents quantitative information to complement knowledge about the development of the research area.
The analysis of keyword co-occurrence through VOSviewer software displays the most frequent topics used in mass transport in gas diffusion layer research. Figure 7 shows the themes developed over the years. The keywords “computational fluid dynamics”, “models”, ”simulation” demonstrate the tendency of applying computational resources to support new studies in the last years.
A test with 1676 index keywords was realized. Only 140 (8.35%) of keywords met the threshold of five or more occurrences, 40 (2.38%) were used four times, 83 (4.95%) keywords appeared thrice, and 1413 (84.30%) keywords were used once or twice.
Over 25 years of study from 1994–2019, 932 authors participated on publications on mass transport in gas diffusion layer. Figure 8 co-authorship map displays 106 (11.37%) authors with production on at least three papers. There are 34 clusters of collaboration and only one of them is composed of the largest number of elements in the groups with nine items. Likewise, 10 clusters are comprised of one author, and the most extensive collaboration network of authors consists of 51 authors corresponding to 5.47% of the sample. This behavior reveals a lack of interrelationship between the researcher groups around the world working on the theme.
The most cited author is Jeff Gostick, with six articles and 632 cites, while the most productive author is Yan Wei-Mon with 12 articles and 278 citations.
A total of 412 papers classified as articles were published during a period of 25 years. Table 4 shows the annual publications in the sub-theme of the gas diffusing layer beginning in 1994. However, there are seven years without the appearance of a new investigation document. This behavior reveals a scarce growth of the research area through the years, and the tendency has practically remained between 22 to 32 papers produced since the year 2006.
United States, China, and Canada are the most significant contributors to the Mass Transport in Gas Diffusion Layers in PEMFC with 90, 63 and 51 articles respectively. Additionally, they are the most cited, showing their high impact on the research. Around the world, only 44 (22.68%) countries have been conducting studies through the period of 1994 to 2019. The co-authoring collaboration between countries is shown in the network map of Figure 9, where, once again, China, United States and Canada present the greatest partnerships with other countries.
The developed research on the topic of the mass transport in gas diffusion layer has practically remained the production of papers since 2006. This topic is a very specialized research area reducing the number of researchers focused on the subject. The year 2009 had the highest productivity peak, showing a downward trend in the number of publications starting in that year. Additionally, the first scientific paper on the theme has a difference of 25 years concerning the PEMFC article. The total production of published papers (525) during the period of 1969 to 2019 represents only 1.64% of the contribution of the PEMFC articles (31,901 based on WoS).
Table 5 shows a comparison of the last ten years of the publication percentage of the mass transport in gas diffusion layer and the PEMFC area. It reveals the low contribution of articles again through the years on this subarea.

3.4. Leading Journals of PEM Fuel Cell Publications

This study analyzed which journals are the most commonly used by the researchers to disclose their works. The 31,901 documents of the WoS query for the PEMFCs were published in a total of 1676 journals. Journal of Power Sources is the leading journal in publications with 3640 papers, followed by the International Journal of Hydrogen Energy with 3203 documents.
Table 6 lists the number of publications of the most influential journals according to WoS for each of the two search levels (PEMFC, Mass Transport in GDL). The Journal of Power Sources, the International Journal of Hydrogen Energy, and the Journal of the Electrochemical Society are located in the first three places, being thus preferred by authors for the publication of their works.
The analysis of the most influential journals in the PEMFC field was generated based on the citations (Figure 10) using the VOSviewer bibliometric mapping tool. The Journal of Power Sources appears again in the first place, which allows us to confirm the importance of this journal because it took the preference of the authors to select it as the first publication option.
According to the classification performed by Claritive analytics in the Journal Citation Reports of the year 2018, [38,82] the Journal of Power Sources appears with an impact factor of 7.467 points, while the International Journal of Hydrogen Energy with 4.084 and the Journal of the Electrochemical Society with 3.12 points. It is important to mention that these journals are not the ones that have the highest impact factor in the ranking, but they are the main ones in terms of the number of the received citations.
The impact factor is one of the five criteria that Methodi Ordinatio considers to ranking the articles, and it does not have a high weight in the inOrdinatio equation. Nevertheless, the researchers decided to publish in a journal based on the impact factor as a guarantee of visibility and seriousness in the investigation process. The analysis of bibliometric information provides the support to make a decision for the best options to release the results of the research work.

4. Conclusions

This study provided an overview analysis of the characteristics of PEM fuel cell literature using bibliometric methods to retrieve information from two major databases: Scopus and Web of Science. Bibliometrics cannot asses the research quality directly, but it is a sensor of the area of productivity since it provides indicators as the number of worldwide publications, the most cited articles, the most referenced authors, and the leading publisher countries.
Over 50 years, a total 31,901 PEMFC documents were published, the first article of PEMFC was in 1969. During this period, the growth trend has displayed the precursor, exponential, and linear phases established by the Price Law. The leading countries to productivity in this area are the United States, China, and Japan. These countries have, in common, strong spending by the business sector for R&D, and their gross domestic product is greater than 2%. There is a broad difference between the amounts spent in purchasing power parity dollars of first countries in respect to the others.
The qualitative nature of the papers is not easy to know by bibliometric indicators that allow responding to why these areas have not achieved a plateau in knowledge. However, it alerts us about the changes that occur in terms of the amount of productivity. Therefore, researchers need to determine the relevance of new issues to achieve the evolution of knowledge towards the innovation in this area.
The influence of a publication on the scientific community has been related frequently to the journal impact factor. Nevertheless, this factor is not enough to evaluate the relevance of an article that can be selected to compose the bibliographic portfolio for new research. Nowadays, the scientific population requires new strategies to facilitate selection criteria.
In regard to this situation, the methodology Methodi Ordinatio is an adequate framework that allows us to rank articles with more critical rigor, as it takes into account three article selection criteria (impact factor, year, and number of citation), and provides an organized list of relevant publications. The researchers can decide the importance degree for the year of publication by pondering alpha. This study used the Methodi Ordinatio to demonstrate the present benefits in initiating new research and decreasing the time gap to comprise a bibliographic portfolio.

Author Contributions

The following statements should be used J.C.C.A. conceived the idea of the paper subject and formal analysis; B.P.S. performed the search, applied the Methodi Ordinatio and wrote the paper; L.G.B. performed the formal analysis and wrote-original draft preparation; Z.Z. writing-review and editing; M.P.G. visualization; D.L.T. writing-review and editing supervision. The manuscript was approved by all authors for publication.

Funding

This research was funded by the Basic Science Project: “Estudio y Desarrollo de la Capa Difusora de Gas/Líquido de una Celda de Combustible Regenerativa Unificada tipo PEM” grant number 235848, CONACYT, México, 2015–2018.

Acknowledgments

We appreciate the support provided by the PhD in Information Technologies of the Universidad de Guadalajara and the Instituto Tecnológico de Chetumal.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Haasz, T.; Vilchez, J.J.G.; Kunze, R.; Deane, P.; Fraboulet, D.; Fahl, U.; Mulholland, E. Perspectives on decarbonizing the transport sector in the EU-28. Energy Strategy Rev. 2018, 20, 124–132. [Google Scholar] [CrossRef]
  2. Melikoglu, M. Clean coal technologies: A global to local review for Turkey. Energy Strategy Rev. 2018, 22, 313–319. [Google Scholar] [CrossRef]
  3. Bergen, A.; Schmeister, T.; Pitt, L.; Rowe, A.; Djilali, N.; Wild, P. Development of a dynamic regenerative fuel cell system. J. Power Sources 2007, 164, 624–630. [Google Scholar] [CrossRef]
  4. Gielen, D.; Boshell, F.; Saygin, D.; Bazilian, M.D.; Wagner, N.; Gorini, R. The role of renewable energy in the global energy transformation. Energy Strategy Rev. 2019, 24, 38–50. [Google Scholar] [CrossRef]
  5. Sammes, N. Fuel Cell Technology: Reaching Towards Commercialization, 1st ed.; Springer: London, UK, 2006. [Google Scholar]
  6. Wang, L.; Wei, Y.M.; Brown, M.A. Global transition to low-carbon electricity: A bibliometric analysis. Appl. Energy 2017, 205, 57–68. [Google Scholar] [CrossRef]
  7. Al-Baghdadi, M.A.S. Proton exchange membrane fuel cells modeling: A review of the last ten years results of the Fuel Cell Research Center-IEEF. Int. J. Energy Environ. 2017, 8, 1–28. [Google Scholar]
  8. Latorrata, S.; Stampino, P.G.; Cristiani, C.; Dotelli, G. Novel superhydrophobic gas diffusion media for PEM fuel cells: Evaluation of performance and durability. Chem. Eng. 2014, 41, 241–245. [Google Scholar]
  9. Rayment, C.; Sherwin, S. Introduction to Fuel Cell Technology. Dep. Aerosp. Mech. Eng. Univ. Notre Dame 2003, 46556, 11–12. [Google Scholar]
  10. Samanta, I.; Shah, R.K.; Wagner, A. Fuel Processing for Fuel Applications. Fuel Cell Sci. Eng. Technol. 2004. [Google Scholar] [CrossRef]
  11. Steinberger-Wilckens, R. Introduction to Fuel Cell Basics. In Advances in Medium and High Temperature Solid Oxide Fuel Cell Technology; Boaro, M., Aricò, A.S., Eds.; Springer: Cham, Switzerland, 2017; pp. 1–29. [Google Scholar]
  12. Alvarado-Flores, J.; Ávalos-Rodríguez, L. Avances en el desarrollo y conocimiento del cátodo Ba0.5Sr0.5Co0.8Fe0.2O3−δ para celdas de combustible de óxido sólido de temperatura intermedia IT-SOFC. Rev. Mex. Fis. 2013, 59, 380–402. [Google Scholar]
  13. Wu, H.W. A review of recent development: Transport and performance modeling of PEM fuel cells. Appl. Energy 2016, 165, 81–106. [Google Scholar] [CrossRef]
  14. Niu, Z.; Fan, L.; Bao, Z.; Jiao, K. Numerical investigation of innovative 3D cathode flow channel in proton exchange membrane fuel cell. Int. J. Energy Res. 2018, 42, 3328–3338. [Google Scholar] [CrossRef]
  15. Du, H.; Wei, L.; Brown, M.A.; Wang, Y.; Shi, Z. A bibliometric analysis of recent energy efficiency literatures: An expanding and shifting focus. Energy Effic. 2013, 6, 177–190. [Google Scholar] [CrossRef]
  16. Escorcia-Otálora, T.A.; Poutou-Piñales, R.A. Análisis bibliométrico de los artículos originales publicados en la revista Universitas Scientiarum (1987–2007). Univ. Sci. 2008, 13, 236–244. [Google Scholar]
  17. Jimenez-Contreras, E. Los métodos bibliométricos Estado de la cuestión y aplicaciones. In Primer Congreso Universitario de Ciencias de la Documentación; Facultad de Ciencias de la Información Universidad Complutense de Madrid: Madrid, Spain, 2000; pp. 757–771. [Google Scholar]
  18. Mingers, J.; Leydesdorff, L. A review of theory and practice in scientometrics. Eur. J. Oper. Res. 2015, 246, 1–19. [Google Scholar] [CrossRef]
  19. Cindrella, L.; Kannan, A.M.; Lin, J.F.; Saminathan, K.; Ho, Y.; Lin, C.W.; Wertz, J. Gas diffusion layer for proton exchange membrane fuel cells—A review. J. Power Sources 2009, 194, 146–160. [Google Scholar] [CrossRef]
  20. Cindrella, L.; Fu, H.Z.; Ho, Y.S. Global thrust on fuel cells and their sustainability-an assessment of research trends by bibliometric analysis. Int. J. Sustain. Energy 2014, 33, 125–140. [Google Scholar] [CrossRef]
  21. Huang, M.H.; Yang, H.W. A Scientometric Study of Fuel Cell Based on Paper and Patent Analysis. J. Libr. Inf. Stud. 2013, 11, 1–24. [Google Scholar]
  22. OECD. Innovation in Fuel Cells: A Bibliometric Analysis; Organisation for Economic Co-operation and Development Publications: Paris, France, 2005. [Google Scholar]
  23. Chen, H.Q.; Wang, X.; He, L.; Chen, P.; Wan, Y.; Yang, L.; Jiang, S. Chinese energy and fuels research priorities and trend: A bibliometric analysis. Renew. Sustain. Energy Rev. 2016, 58, 966–975. [Google Scholar] [CrossRef]
  24. Ho, M.H.C.; Lin, V.H.; Liu, J.S. Exploring knowledge diffusion among nations: A study of core technologies in fuel cells. Scientometrics 2014, 100, 149–171. [Google Scholar] [CrossRef]
  25. Ogawa, T.; Kajikawa, Y. Assessing the industrial opportunity of academic research with patent relatedness: A case study on polymer electrolyte fuel cells. Technol. Forecast. Soc. Chang. 2015, 90, 469–475. [Google Scholar] [CrossRef]
  26. Spiegel, C. PEM Fuel Cell: Modeling and Simulation Using MATLAB; Academic Press/Elsevier: Amsterdam, The Netherlands, 2008. [Google Scholar] [CrossRef]
  27. Truc, N.T.; Ito, S.; Fushinobu, K. Numerical and experimental investigation on the reactant gas crossover in a PEM fuel cell. Int. J. Heat Mass Transf. 2018, 127, 447–456. [Google Scholar] [CrossRef]
  28. Wan, Z.H.; Zhong, Q.; Liu, S.F.; Jin, A.P.; Chen, Y.N.; Tan, J.T.; Pan, M. Determination of oxygen transport resistance in gas diffusion layer for polymer electrolyte fuel cells. Int. J. Energy Res. 2018, 42, 2225–2233. [Google Scholar] [CrossRef]
  29. Zhang, G.; Xie, B.; Bao, Z.; Niu, Z.; Jiao, K. Multi-phase simulation of proton exchange membrane fuel cell with 3D fine mesh flow field. Int. J. Energy Res. 2018, 42, 4697–4709. [Google Scholar] [CrossRef]
  30. Pagani, R.N.; Kovaleski, J.L.; Resende, L.M. Methodi Ordinatio: A proposed methodology to select the impact factor, number of citation, and year of publication. Scientometrics 2015, 105, 2109–2135. [Google Scholar] [CrossRef]
  31. De Campos, E.A.R.; Pagani, R.N.; Resende, L.M.; Pontes, J. Construction and qualitative assessment of a bibliographic portfolio using the methodology Methodi Ordinatio. Scientometrics 2018, 116, 815–842. [Google Scholar] [CrossRef]
  32. Aghaei Chadegani, A.; Salehi, H.; Yunus, M.; Farhadi, H.; Fooladi, M.; Farhadi, M.; Ale Ebrahim, N. A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases. Asian Soc. Sci. 2013, 9, 18–26. [Google Scholar] [CrossRef]
  33. Khudzari, J.M.; Kurian, J.; Tartakovsky, B.; Raghavan, G.V. Bibliometric analysis of global research trends on microbial fuel cells using Scopus database. Biochem. Eng. J. 2018, 136, 51–60. [Google Scholar] [CrossRef]
  34. Harzing, A.W.; Alakangas, S. Google Scholar, Scopus and the Web of Science: A longitudinal and cross-disciplinary comparison. Scientometrics 2016, 106, 787–804. [Google Scholar] [CrossRef]
  35. Vieira, E.S.; Gomes, J.A. A comparison of Scopus and Web of Science for a typical university. Scientometrics 2009, 81, 587–600. [Google Scholar] [CrossRef]
  36. Van Eck, N.; Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010, 84, 523–538. [Google Scholar] [CrossRef]
  37. Van Eck, N.J.; Waltman, L. VOSviewer Manual; Univeristeit Leiden: Leiden, The Netherlands, 2013. [Google Scholar]
  38. Claritive Analytics Journal Citation Reports. Available online: https://jcr.incites.thomsonreuters.com/JCRJournalHomeAction.action (accessed on 3 October 2019).
  39. Scimago, S.J.R. Scientific Journal Rankings. Available online: https://www.scimagojr.com/journalrank.php (accessed on 14 October 2019).
  40. Urbizagástegui Alvarado, R. El crecimiento de la literatura sobre la ley de Bradford. Investig. Bibl. 2016, 30, 51–72. [Google Scholar]
  41. Lee, J.; Yang, J.S. Government R & D investment decision-making in the energy sector: LCOE foresight model reveals what regression analysis cannot. Energy Strategy Rev. 2018, 21, 1–15. [Google Scholar]
  42. Suominen, A. Phases of growth in a green tech research network: A bibliometric evaluation of fuel cell technology from 1991 to 2010. Scientometrics 2014, 100, 51–72. [Google Scholar] [CrossRef]
  43. Trianni, A.; Merigó, J.M.; Bertoldi, P. Ten years of Energy Efficiency: A bibliometric analysis. Energy Effic. 2018, 11, 1917–1939. [Google Scholar] [CrossRef]
  44. UNESCO. How Much Does Your Country Spend on R&D? UNESCO Innsitute for Statistics, 2018. Available online: http://uis.unesco.org/apps/visualisations/research-and-development-spending/ (accessed on 15 October 2019).
  45. Carton, J.G.; Lawlor, V.; Olabi, A.G.; Hochenauer, C.; Zauner, G. Water droplet accumulation and motion in PEM (Proton Exchange Membrane) fuel cell mini-channels. Energy 2012, 39, 63–73. [Google Scholar] [CrossRef]
  46. Mukherjee, P.P.; Wang, C.Y.; Kang, Q. Mesoscopic modeling of two-phase behavior and flooding phenomena in polymer electrolyte fuel cells. Electrochim. Acta 2009, 54, 6861–6875. [Google Scholar] [CrossRef]
  47. Chen, L.; Luan, H.B.; He, Y.L.; Tao, W.Q. Pore-scale flow and mass transport in gas diffusion layer of proton exchange membrane fuel cell with interdigitated flow fields. Int. J. Therm. Sci. 2012, 51, 132–144. [Google Scholar] [CrossRef]
  48. Jahnke, T.; Futter, G.; Latz, A.; Malkow, T.; Papakonstantinou, G.; Tsotridis, G.; Schott, P.; Gérard, M.; Quinaud, M.; Quiroga, M.; et al. Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale. J. Power Sources 2016, 304, 207–233. [Google Scholar] [CrossRef] [Green Version]
  49. Hao, L.; Cheng, P. Lattice Boltzmann simulations of water transport in gas diffusion layer of a polymer electrolyte membrane fuel cell. J. Power Sources 2010, 195, 3870–3881. [Google Scholar] [CrossRef]
  50. Ramasamy, R.P.; Kumbur, E.C.; Mench, M.M.; Liu, W.; Moore, D.; Murthy, M. Investigation of macro- and micro-porous layer interaction in polymer electrolyte fuel cells. Int. J. Hydrogen Energy 2008, 33, 3351–3367. [Google Scholar] [CrossRef]
  51. Sinha, P.K.; Wang, C.Y. Liquid water transport in a mixed-wet gas diffusion layer of a polymer electrolyte fuel cell. Chem. Eng. Sci. 2008, 63, 1081–1091. [Google Scholar] [CrossRef]
  52. Zhu, X.; Sui, P.C.; Djilali, N. Three-dimensional numerical simulations of water droplet dynamics in a PEMFC gas channel. J. Power Sources 2008, 181, 101–115. [Google Scholar] [CrossRef]
  53. Hizir, F.E.; Ural, S.O.; Kumbur, E.C.; Mench, M.M. Characterization of interfacial morphology in polymer electrolyte fuel cells: Micro-porous layer and catalyst layer surfaces. J. Power Sources 2010, 195, 3463–3471. [Google Scholar] [CrossRef]
  54. Hwang, G.S.; Weber, A.Z. Effective-Diffusivity Measurement of Partially-Saturated Fuel-Cell Gas-Diffusion Layers. J. Electrochem. Soc. 2012, 159, F683–F692. [Google Scholar] [CrossRef]
  55. Koido, T.; Furusawa, T.; Moriyama, K. An approach to modeling two-phase transport in the gas diffusion layer of a proton exchange membrane fuel cell. J. Power Sources 2008, 175, 127–136. [Google Scholar] [CrossRef]
  56. García-Salaberri, P.A.; Gostick, J.T.; Hwang, G.; Weber, A.Z.; Vera, M. Effective diffusivity in partially-saturated carbon-fiber gas diffusion layers: Effect of local saturation and application to macroscopic continuum models. J. Power Sources 2015, 296, 440–453. [Google Scholar] [CrossRef] [Green Version]
  57. Luo, Y.; Jiao, K. Cold start of proton exchange membrane fuel cell. Prog. Energy Combust. Sci. 2018, 64, 29–61. [Google Scholar] [CrossRef]
  58. Kleemann, J.; Finsterwalder, F.; Tillmetz, W. Characterisation of mechanical behaviour and coupled electrical properties of polymer electrolyte membrane fuel cell gas diffusion layers. J. Power Sources 2009, 190, 92–102. [Google Scholar] [CrossRef]
  59. Heidary, H.; Kermani, M.J.; Dabir, B. Influences of bipolar plate channel blockages on PEM fuel cell performances. Energy Convers. Manag. 2016, 124, 51–60. [Google Scholar] [CrossRef] [Green Version]
  60. Zamel, N.; Astrath, N.G.; Li, X.; Shen, J.; Zhou, J.; Astrath, F.B.; Wang, H.; Liu, Z.S. Experimental measurements of effective diffusion coefficient of oxygen-nitrogen mixture in PEM fuel cell diffusion media. Chem. Eng. Sci. 2010, 65, 931–937. [Google Scholar] [CrossRef]
  61. Cao, T.F.; Lin, H.; Chen, L.; He, Y.L.; Tao, W.Q. Numerical investigation of the coupled water and thermal management in PEM fuel cell. Appl. Energy 2013, 112, 1115–1125. [Google Scholar] [CrossRef]
  62. Pant, L.M.; Mitra, S.K.; Secanell, M. Absolute permeability and Knudsen diffusivity measurements in PEMFC gas diffusion layers and micro porous layers. J. Power Sources 2012, 206, 153–160. [Google Scholar] [CrossRef]
  63. Park, J.; Oh, H.; Lee, Y.I.; Min, K.; Lee, E.; Jyoung, J.Y. Effect of the pore size variation in the substrate of the gas diffusion layer on water management and fuel cell performance. Appl. Energy 2016, 171, 200–212. [Google Scholar] [CrossRef]
  64. Kandlikar, S.G.; Lu, Z.; Domigan, W.E.; White, A.D.; Benedict, M.W. Measurement of flow maldistribution in parallel channels and its application to ex-situ and in-situ experiments in PEMFC water management studies. Int. J. Heat Mass Transf. 2009, 52, 1741–1752. [Google Scholar] [CrossRef]
  65. Zenyuk, I.V.; Lamibrac, A.; Eller, J.; Parkinson, D.Y.; Marone, F.; Buchi, F.N.; Weber, A.Z. Investigating Evaporation in Gas Diffusion Layers for Fuel Cells with X-ray Computed Tomography. J. Phys. Chem. C 2016, 120, 28701–28711. [Google Scholar] [CrossRef] [Green Version]
  66. Jiao, K.; Li, X. Three-dimensional multiphase modeling of cold start processes in polymer electrolyte membrane fuel cells. Electrochim. Acta 2009, 54, 6876–6891. [Google Scholar] [CrossRef]
  67. Kim, K.N.; Kang, J.H.; Lee, S.G.; Nam, J.H.; Kim, C.J. Lattice Boltzmann simulation of liquid water transport in microporous and gas diffusion layers of polymer electrolyte membrane fuel cells. J. Power Sources 2015, 278, 703–717. [Google Scholar] [CrossRef]
  68. Chang, T.C.; Zhang, J.P.; Fuh, Y.K. Electrical, mechanical and morphological properties of compressed carbon felt electrodes in vanadium redox flow battery. J. Power Sources 2014, 245, 66–75. [Google Scholar] [CrossRef]
  69. Kim, J.; Luo, G.; Wang, C.Y. Modeling two-phase flow in three-dimensional complex flow-fields of proton exchange membrane fuel cells. J. Power Sources 2017, 365, 419–429. [Google Scholar] [CrossRef]
  70. Zhang, D.; Cai, Q.; Gu, S. Three-dimensional lattice-Boltzmann model for liquid water transport and oxygen diffusion in cathode of polymer electrolyte membrane fuel cell with electrochemical reaction. Electrochim. Acta 2018, 262, 282–296. [Google Scholar] [CrossRef]
  71. Chevalier, S.; Lee, J.; Ge, N.; Yip, R.; Antonacci, P.; Tabuchi, Y.; Kotaka, T.; Bazylak, A. In operando measurements of liquid water saturation distributions and effective diffusivities of polymer electrolyte membrane fuel cell gas diffusion layers. Electrochim. Acta 2016, 210, 792–803. [Google Scholar] [CrossRef]
  72. Zhang, S.; Reimer, U.; Beale, S.B.; Lehnert, W.; Stolten, D. Modeling polymer electrolyte fuel cells: A high precision analysis. Appl. Energy 2019, 233, 1094–1103. [Google Scholar] [CrossRef]
  73. Hao, L.; Cheng, P. Lattice Boltzmann simulations of liquid droplet dynamic behavior on a hydrophobic surface of a gas flow channel. J. Power Sources 2009, 190, 435–446. [Google Scholar] [CrossRef]
  74. Tsai, B.T.; Tseng, C.J.; Liu, Z.S.; Wang, C.H.; Lee, C.I.; Yang, C.C.; Lo, S.K. Effects of flow field design on the performance of a PEM fuel cell with metal foam as the flow distributor. Int. J. Hydrogen Energy 2012, 37, 13060–13066. [Google Scholar] [CrossRef]
  75. Xing, L.; Xu, Y.; Das, P.K.; Mao, B.; Xu, Q.; Su, H.; Wu, X.; Shi, W. Numerical matching of anisotropic transport processes in porous electrodes of proton exchange membrane fuel cells. Chem. Eng. Sci. 2019, 195, 127–140. [Google Scholar] [CrossRef]
  76. Xu, L.; Fang, C.; Li, J.; Ouyang, M.; Lehnert, W. Nonlinear dynamic mechanism modeling of a polymer electrolyte membrane fuel cell with dead-ended anode considering mass transport and actuator properties. Appl. Energy 2018, 230, 106–121. [Google Scholar] [CrossRef]
  77. Chevalier, S.; Josset, C.; Auvity, B. Analytical solutions and dimensional analysis of pseudo 2D current density distribution model in PEM fuel cells. Renew. Energy 2018, 125, 738–746. [Google Scholar] [CrossRef]
  78. Chen, L.; Feng, Y.L.; Song, C.X.; Chen, L.; He, Y.L.; Tao, W.Q. Multi-scale modeling of proton exchange membrane fuel cell by coupling finite volume method and lattice Boltzmann method. Int. J. Heat Mass Transf. 2013, 63, 268–283. [Google Scholar] [CrossRef]
  79. Espinoza-Andaluz, M.; Andersson, M.; Sundén, B. Comparing through-plane diffusibility correlations in PEFC gas diffusion layers using the lattice Boltzmann method. Int. J. Hydrogen Energy 2017, 42, 11689–11698. [Google Scholar] [CrossRef]
  80. Swamy, T.; Kumbur, E.C.; Mench, M.M. Characterization of Interfacial Structure in PEFCs: Water Storage and Contact Resistance Model. J. Electrochem. Soc. 2010, 157, B77–B85. [Google Scholar] [CrossRef]
  81. Movahedi, M.; Ramiar, A.; Ranjber, A.A. 3D numerical investigation of clamping pressure effect on the performance of proton exchange membrane fuel cell with interdigitated flow field. Energy 2018, 142, 617–632. [Google Scholar] [CrossRef]
  82. Yin, J.; Gong, L.; Wang, S. Large-scale assessment of global green innovation research trends from 1981 to 2016: A bibliometric study. J. Clean. Prod. 2018, 197, 827–841. [Google Scholar] [CrossRef]
Figure 1. Bibliometric map created by VOSviewer based on “PEMFC” (Proton Exchange Membrane Fuel Cell) keyword co-occurrence.
Figure 1. Bibliometric map created by VOSviewer based on “PEMFC” (Proton Exchange Membrane Fuel Cell) keyword co-occurrence.
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Figure 2. The phases of the methodology Methodi Ordinatio. Source: Pagani et al. (2018) [31].
Figure 2. The phases of the methodology Methodi Ordinatio. Source: Pagani et al. (2018) [31].
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Figure 3. Retrieval and filtering procedures used to obtain the final portfolio.
Figure 3. Retrieval and filtering procedures used to obtain the final portfolio.
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Figure 4. The number of PEMFC publications per year.
Figure 4. The number of PEMFC publications per year.
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Figure 5. Scientific population per year 1989–2019 (Web of Science (WOS)).
Figure 5. Scientific population per year 1989–2019 (Web of Science (WOS)).
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Figure 6. Top 30 countries map in PEMFC publications.
Figure 6. Top 30 countries map in PEMFC publications.
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Figure 7. Bibliometric co-occurrence word map based on Mass Transport in Gas Diffusion Layer (GDL) publications.
Figure 7. Bibliometric co-occurrence word map based on Mass Transport in Gas Diffusion Layer (GDL) publications.
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Figure 8. Bibliometric co-authorship map based on Mass Transport in GDL publications.
Figure 8. Bibliometric co-authorship map based on Mass Transport in GDL publications.
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Figure 9. Bibliometric country collaboration map based on co-authorship on Mass Transport in GDL publications.
Figure 9. Bibliometric country collaboration map based on co-authorship on Mass Transport in GDL publications.
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Figure 10. Bibliometric map based on citation of leading journals in PEMFC publications.
Figure 10. Bibliometric map based on citation of leading journals in PEMFC publications.
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Table 1. Top 30 of the most productive countries in PEMFC publications.
Table 1. Top 30 of the most productive countries in PEMFC publications.
No.CountryScopusWoSNo.CountryScopusWoS
1United States6871462716Malaysia346205
2China5284733417Brazil332263
3Japan2431174518Mexico316261
4South Korea2339223919Australia302262
5Canada2120168620Switzerland299262
6Germany1939155821Thailand292210
7France1502113022Russian Federation281295
8India121199323Singapore266221
9Taiwan114397124Sweden221195
10Italy112588625Greece217165
11United Kingdom994126426Netherlands206158
12Iran75265427South Africa201154
13Spain73661528Romania15896
14Turkey42238529Algeria14280
15Denmark40234530Poland13595
Table 2. The number of papers before and after the filtering procedures.
Table 2. The number of papers before and after the filtering procedures.
Filtering ProcedureGross Selected ArticlesArticles Cross ofArticles Remained%
WoS394
Scopus330
Gross portfolio total papers724 100
Duplicates 19952572.5
Reviews, book chapters, conference papers 11241357.0
Articles published before 2008 8632745.2
InOrdinatio <72 288395.4
Total papers discarded 671 92.7
Total papers considered for portfolio 39
Table 3. The list of the articles ranked by InOrdinatio to compose the final portfolio.
Table 3. The list of the articles ranked by InOrdinatio to compose the final portfolio.
AuthorTitleYearInOrdinatio α = 7Index α = 7Index α= 10Index α = 5
Carton et al. [45]Water droplet accumulation and motion in PEM (Proton Exchange Membrane) fuel cell mini-channels2012196.00111
Mukherjee et al. [46]Mesoscopic modeling of two-phase behavior and flooding phenomena in polymer electrolyte fuel cells2009156.00222
Chen et al. [47]Pore-scale flow and mass transport in gas diffusion layer of proton exchange membrane fuel cell with interdigitated flow fields2012134.00343
Jahnke et al. [48]Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale2016124.01434
Hao L. et al. [49]Lattice Boltzmann simulations of water transport in gas diffusion layer of a polymer electrolyte membrane fuel cell2010105.01576
Ramasamy et al. [50]Investigation of macro- and micro-porous layer interaction in polymer electrolyte fuel cells2008102.006545
Sinha et al. [51]Liquid water transport in a mixed-wet gas diffusion layer of a polymer electrolyte fuel cell200897.007697
Zhu et al. [52]Three-dimensional numerical simulations of water droplet dynamics in a PEMFC gas channel200894.018838
Hizir et al. [53]Characterization of interfacial morphology in polymer electrolyte fuel cells: Micro-porous layer and catalyst layer surfaces201092.0196210
Hwang et al. [54]Effective-Diffusivity Measurement of Partially-Saturated Fuel-Cell Gas-Diffusion Layers201292.00102212
Koido et al. [55]An approach to modeling two-phase transport in the gas diffusion layer of a proton exchange membrane fuel cell200891.01111069
Garcia-Salaberri, et al. [56]Effective diffusivity in partially-saturated carbon-fiber gas diffusion layers: Effect of local saturation and application to macroscopic continuum models201591.0112616
Luo et al. [57]Cold start of proton exchange membrane fuel cell201888.0313522
Kleemann et al. [58]Characterisation of mechanical behaviour and coupled electrical properties of polymer electrolyte membrane fuel cell gas diffusion layers200986.011411411
Heidary et al. [59]Influences of bipolar plate channel blockages on PEM fuel cell performances201685.0115821
Zamel et al. [60]Experimental measurements of effective diffusion coefficient of oxygen-nitrogen mixture in PEM fuel cell diffusion media201085.001610913
Cao et al. [61]Numerical investigation of the coupled water and thermal management in PEM fuel cell201384.01175818
Pant et al. [62]Absolute permeability and Knudsen diffusivity measurements in PEMFC gas diffusion layers and microporous layers201284.01187117
Park et al. [63]Effect of the pore size variation in the substrate of the gas diffusion layer on water management and fuel cell performance201683.0119924
Kandlikar et al. [64]Measurement of flow maldistribution in parallel channels and its application to ex-situ and in-situ experiments in PEMFC water management studies200982.002013014
Zenyuk et al. [65]Investigating Evaporation in Gas Diffusion Layers for Fuel Cells with X-ray Computed Tomography201681.00211528
Jiao et al. [66]Three-dimensional multiphase modeling of cold start processes in polymer electrolyte membrane fuel cells200981.002214115
Kim et al. [67]Lattice Boltzmann simulation of liquid water transport in microporous and gas diffusion layers of polymer electrolyte membrane fuel cells201580.01235626
Chang et al. [68]Electrical, mechanical and morphological properties of compressed carbon felt electrodes in vanadium redox flow battery201478.01247227
Kim et al. [69]Modeling two-phase flow in three-dimensional complex flow-fields of proton exchange membrane fuel cells201778.01251432
Ge et al.Non-isothermal two-phase transport in a polymer electrolyte membrane fuel cell with crack-free microporous layers201777.00262033
Niu et al. [14]Numerical investigation of innovative 3D cathode flow channel in proton exchange membrane fuel cell201877.00271136
Zhang et al. [70]Three-dimensional Lattice Boltzmann model for liquid water transport and oxygen diffusion in cathode of polymer electrolyte membrane fuel cell with electrochemical reaction201877.00281237
Chevalier et al. [71]In operando measurements of liquid water saturation distributions and effective diffusivities of polymer electrolyte membrane fuel cell gas diffusion layers201675.00296134
Zhang et al. [72]Modeling polymer electrolyte fuel cells: A high precision analysis201974.01301052
Hao et al. [73]Lattice Boltzmann simulations of liquid droplet dynamic behavior on a hydrophobic surface of a gas flow channel200973.013116019
Tsai et al. [74]Effects of flow field design on the performance of a PEM fuel cell with metal foam as the flow distributor201273.003213129
Xing et al. [75]Numerical matching of anisotropic transport processes in porous electrodes of proton exchange membrane fuel cells201973.00331368
Xu et al. [76]Nonlinear dynamic mechanism modeling of a polymer electrolyte membrane fuel cell with dead-ended anode considering mass transport and actuator properties201872.01345253
Chevalier et al. [77]Analytical solutions and dimensional analysis of pseudo 2D current density distribution model in PEM fuel cells201872.01355357
Chen et al. [78]Multi-scale modeling of proton exchange membrane fuel cell by coupling finite volume method and lattice Boltzmann method201372.003612431
Espinoza-Andaluz et al. [79]Comparing through-plane diffusibility correlations in PEFC gas diffusion layers using the lattice Boltzmann method201772.00375944
Swamy et al. [80]Characterization of Interfacial Structure in PEFCs: Water Storage and Contact Resistance Model201072.003815523
Movahedi et al. [81]3D numerical investigation of clamping pressure effect on the performance of proton exchange membrane fuel cell with interdigitated flow field201872.00395559
Table 4. The number of GDL and Mass Transport publications per year.
Table 4. The number of GDL and Mass Transport publications per year.
YearNumber of PapersYearNumber of Papers
19941201122
20012201229
20034201318
200413201424
200512201526
200626201628
200728201726
200825201829
200934201932
201033
TOTAL412
Table 5. Comparative production of the Mass Transport in GDL and PEMFC publications (WoS).
Table 5. Comparative production of the Mass Transport in GDL and PEMFC publications (WoS).
YearPEMFCMass TransportMT/PEMFC (%)
20098719341.41%
20109718331.77%
20119754221.53%
20129449290.99%
20139255181.36%
201410,256240.93%
20158526261.13%
20169895281.28%
201710,183261.40%
201810,444291.38%
20196940321.51%
Table 6. The total de publications of leading journals.
Table 6. The total de publications of leading journals.
RankingJournalPEMFCMass Transport
1Journal of Power Sources364096
2International Journal of Hydrogen Energy320349
3Journal of the Electrochemical Society135251
4Electrochimica Acta76917
5Journal of Membrane Science6850
6Fuel Cells56210
7Journal of Fuel Cell Science and Technology31613
8Energy2649
9Applied Energy2638
10Energy Conversion and Management23512

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Pamplona Solis, B.; Cruz Argüello, J.C.; Gómez Barba, L.; Gurrola, M.P.; Zarhri, Z.; TrejoArroyo, D.L. Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells. Sustainability 2019, 11, 6682. https://doi.org/10.3390/su11236682

AMA Style

Pamplona Solis B, Cruz Argüello JC, Gómez Barba L, Gurrola MP, Zarhri Z, TrejoArroyo DL. Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells. Sustainability. 2019; 11(23):6682. https://doi.org/10.3390/su11236682

Chicago/Turabian Style

Pamplona Solis, Blandy, Julio César Cruz Argüello, Leopoldo Gómez Barba, Mayra Polett Gurrola, Zakaryaa Zarhri, and Danna Lizeth TrejoArroyo. 2019. "Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells" Sustainability 11, no. 23: 6682. https://doi.org/10.3390/su11236682

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