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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Machine-learning-assisted insight into the cathode catalyst layer in proton exchange membrane fuel cells
Yuxuan Lou, Mingsheng Hao, Yinshi Li
Journal of Power Sources (2022) Vol. 543, pp. 231827-231827
Closed Access | Times Cited: 21

Showing 21 citing articles:

Advanced 3D ordered electrodes for PEMFC applications: From structural features and fabrication methods to the controllable design of catalyst layers
Kaili Wang, Tingting Zhou, Zhen Cao, et al.
Green Energy & Environment (2023) Vol. 9, Iss. 9, pp. 1336-1365
Open Access | Times Cited: 22
Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers
Mariah Batool, Oluwafemi Joseph Sanumi, Jasna Janković
Energy and AI (2024) Vol. 18, pp. 100424-100424
Open Access | Times Cited: 11
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
Engineering the catalyst layers towards enhanced local oxygen transport of Low-Pt proton exchange membrane fuel cells: Materials, designs, and methods
Shiqing Liu, Shu Yuan, Yuwei Liang, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 11, pp. 4389-4417
Closed Access | Times Cited: 32
Data-driven design of electrocatalysts: principle, progress, and perspective
Shan Zhu, Kezhu Jiang, Biao Chen, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 8, pp. 3849-3870
Closed Access | Times Cited: 21
Application of Solid Catalysts with an Ionic Liquid Layer (SCILL) in PEMFCs: From Half-Cell to Full-Cell
Xiaojing Cheng, Guanghua Wei, Liuxuan Luo, et al.
Electrochemical Energy Reviews (2023) Vol. 6, Iss. 1
Closed Access | Times Cited: 13
Gradient catalyst layer design for low-Pt-loading PEM fuel cell based on artificial neural network and multi-objective optimization
Zhao Liu, Weiwei Yang, Jiarui Zhang, et al.
International Journal of Hydrogen Energy (2025)
Closed Access
Advancing Porous Electrode Design for PEM Fuel Cells: From Physics to Artificial Intelligence
Guofu Ren, Zhiguo Qu, Zhiqiang Niu, et al.
Electrochemical Energy Reviews (2025) Vol. 8, Iss. 1
Closed Access
Optimization of cathode catalyst layer of membrane electrode assembly for polymer electrolyte fuel cells using machine learning
Toru Uenishi, Rui Imoto
Journal of Power Sources (2023) Vol. 573, pp. 233105-233105
Closed Access | Times Cited: 12
Enhanced operational performance of PEM fuel cells with Porous-Carbon catalyst support: A multiscale modeling approach
Yang Liu, Zhejie Ma, Quanquan Gan, et al.
Energy Conversion and Management (2023) Vol. 281, pp. 116858-116858
Closed Access | Times Cited: 11
Optimization of porous layer structure of high-temperature proton exchange membrane fuel cell based on deep learning and Monte Carlo method
Wei Zhang, Zhaochen Jiang, Lu Yao, et al.
International Journal of Hydrogen Energy (2023) Vol. 50, pp. 1004-1019
Closed Access | Times Cited: 11
Towards Reliable Prediction of Performance for Polymer Electrolyte Membrane Fuel Cells via Machine Learning-Integrated Hybrid Numerical Simulations
Rashed Kaiser, Chi‐Yeong Ahn, Yun-Ho Kim, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1140-1140
Open Access | Times Cited: 2
Optimization of cathode catalyst layer composition for PEMFC based on an integrated approach of numerical simulation, surrogate model, multi-objective genetic algorithm and evaluation strategy
Ziqian Yang, Zhaojing Ni, Xiaolong Li, et al.
International Journal of Hydrogen Energy (2024) Vol. 96, pp. 97-112
Closed Access | Times Cited: 2
Cross-dimensional multi-physics model and two-phase mass-transport enhancement for the hydrogen peroxide-based fuel cell
Rui Wang, X. Z. Zhou, Mingsheng Hao, et al.
Energy Conversion and Management (2024) Vol. 310, pp. 118501-118501
Closed Access | Times Cited: 1
Numerical study of proton exchange membrane water electrolyzer performance based on catalyst layer agglomerate model
Mingyi Xu, Jingde Li, Yanzhou Qin, et al.
Chemical Engineering Journal (2024) Vol. 499, pp. 156371-156371
Closed Access | Times Cited: 1
Numerical Simulation of Effects of Catalyst Layer Parameters on Heat Transfer in Proton Exchange Membrane Fuel Cells
Yitong Li, Hang Guo, Fang Ye, et al.
Heat Transfer Engineering (2024), pp. 1-16
Closed Access
Deep-learning-assisted insights into molecular transport in heterogeneous electrolyte films on electrodes
Linhao Fan, Ruiwang Zuo, Yumeng Zhou, et al.
Cell Reports Physical Science (2024), pp. 102196-102196
Open Access
Optimal gradient designs of catalyst layers for boosting performance: A data-driven-assisted model
Zihao Xuan, Wenzhen Fang, Guo-Rui Zhao, et al.
Applied Energy (2024) Vol. 377, pp. 124756-124756
Closed Access
Machine learning applications on proton exchange membrane water electrolyzers: A component-level overview
Abdelmola Albadwi, Saltuk Buğra Selçuklu, Mehmet Fatih Kaya
International Journal of Hydrogen Energy (2024) Vol. 94, pp. 806-828
Closed Access
Experimental and numerical analysis of a catalyst layer in the membrane electrode assembly of polymer electrolyte membrane fuel cells
Toru Uenishi, Rui Imoto
Journal of Power Sources (2023) Vol. 580, pp. 233408-233408
Closed Access
Machine learning aided evaluation and design based on polymer membrane materials
Jianfeng Liao
Journal of Experimental Nanoscience (2023) Vol. 18, Iss. 1
Open Access
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