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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:

Applying machine learning to boost the development of high-performance membrane electrode assembly for proton exchange membrane fuel cells
Rui Ding, Yiqin Ding, Hongyu Zhang, et al.
Journal of Materials Chemistry A (2021) Vol. 9, Iss. 11, pp. 6841-6850
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

A time and resource efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT-based organic solar cells and green solvent selection
Asif Mahmood, Jin‐Liang Wang
Journal of Materials Chemistry A (2021) Vol. 9, Iss. 28, pp. 15684-15695
Closed Access | Times Cited: 183
Machine learning and molecular dynamics simulation-assisted evolutionary design and discovery pipeline to screen efficient small molecule acceptors for PTB7-Th-based organic solar cells with over 15% efficiency
Asif Mahmood, Ahmad Irfan, Jin‐Liang Wang
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 8, pp. 4170-4180
Closed Access | Times Cited: 159
Advanced Atomically Dispersed Metal–Nitrogen–Carbon Catalysts Toward Cathodic Oxygen Reduction in PEM Fuel Cells
Yijie Deng, Junming Luo, Bin Chi, et al.
Advanced Energy Materials (2021) Vol. 11, Iss. 37
Closed Access | Times Cited: 150
Towards ultralow platinum loading proton exchange membrane fuel cells
Linhao Fan, Hao Deng, Yingguang Zhang, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 4, pp. 1466-1479
Closed Access | Times Cited: 116
Application of Machine Learning in Optimizing Proton Exchange Membrane Fuel Cells: A Review
Rui Ding, Shiqiao Zhang, Yawen Chen, et al.
Energy and AI (2022) Vol. 9, pp. 100170-100170
Open Access | Times Cited: 100
Recent advances of nanocomposite membranes using layer-by-layer assembly
Chen Wang, Myoung Jun Park, Hanwei Yu, et al.
Journal of Membrane Science (2022) Vol. 661, pp. 120926-120926
Closed Access | Times Cited: 88
Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
Jin Li, Naiteng Wu, Jian Zhang, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 74
Machine learning in energy storage materials
Zhonghui Shen, Hanxing Liu, Yang Shen, et al.
Interdisciplinary materials (2022) Vol. 1, Iss. 2, pp. 175-195
Open Access | Times Cited: 70
Integration of multi-physics and machine learning-based surrogate modelling approaches for multi-objective optimization of deformed GDL of PEM fuel cells
Jiankang Wang, Hai Jiang, Gaojian Chen, et al.
Energy and AI (2023) Vol. 14, pp. 100261-100261
Open Access | Times Cited: 50
Advancing next-generation proton-exchange membrane fuel cell development in multi-physics transfer
Guobin Zhang, Zhiguo Qu, Wen‐Quan Tao, et al.
Joule (2023) Vol. 8, Iss. 1, pp. 45-63
Closed Access | Times Cited: 47
Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
Rui Ding, Junhong Chen, Yuxin Chen, et al.
Chemical Society Reviews (2024)
Open Access | Times Cited: 20
Different applications of machine learning approaches in materials science and engineering: Comprehensive review
Yan Cao, Ali Taghvaie Nakhjiri, Mahdi Ghadiri
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108783-108783
Closed Access | Times Cited: 16
Fuel Cells: A Technical, Environmental, and Economic Outlook
Ilham Sebbani, Mohammed Karim Ettouhami, Mouaad Boulakhbar
Cleaner Energy Systems (2025) Vol. 10, pp. 100168-100168
Open Access | Times Cited: 3
A review of machine learning applications in hydrogen electrochemical devices
Nikola Franić, Ivan Pivac, Frano Barbir
International Journal of Hydrogen Energy (2025) Vol. 102, pp. 523-544
Open Access | Times Cited: 2
Boosting the optimization of membrane electrode assembly in proton exchange membrane fuel cells guided by explainable artificial intelligence
Rui Ding, Wenjuan Yin, Gang Cheng, et al.
Energy and AI (2021) Vol. 5, pp. 100098-100098
Open Access | Times Cited: 64
The role of machine learning in carbon neutrality: Catalyst property prediction, design, and synthesis for carbon dioxide reduction
Zhuo Wang, Zhehao Sun, Hang Yin, et al.
eScience (2023) Vol. 3, Iss. 4, pp. 100136-100136
Open Access | Times Cited: 26
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: 24
Data-Driven Optimization of High-Dimensional Variables in Proton Exchange Membrane Water Electrolysis Membrane Electrode Assembly Assisted by Machine Learning
Yipeng Zhang, Aidong Tan, Zhuolin Yuan, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 3, pp. 1409-1421
Closed Access | Times Cited: 11
Many-objective optimization of graded cathode catalyst layer for PEMFC on performance, gas distribution quality, and cost via AI-based model
Rui Ding, Youliang Cheng, Xiaochao Fan, et al.
International Journal of Hydrogen Energy (2024) Vol. 58, pp. 1514-1525
Closed Access | Times Cited: 11
High-precision identification of polarization processes of proton exchange membrane fuel cells through relaxation time analysis: Targeted experimental design and verification
Chuanjie Wang, Jia Li, Siao Zhang, et al.
Applied Energy (2024) Vol. 367, pp. 123377-123377
Closed 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: 9
Polymer materials innovations for green hydrogen economy
Satyasankar Jana, Anbanandam Parthiban, Wendy Rusli
Chemical Communications (2025)
Closed Access | Times Cited: 1
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 | Times Cited: 1
Machine Learning-Guided Discovery of Underlying Decisive Factors and New Mechanisms for the Design of Nonprecious Metal Electrocatalysts
Rui Ding, Yawen Chen, Pïng Chen, et al.
ACS Catalysis (2021) Vol. 11, Iss. 15, pp. 9798-9808
Closed Access | Times Cited: 55
Machine learning utilized for the development of proton exchange membrane electrolyzers
Rui Ding, Yawen Chen, Zhiyan Rui, et al.
Journal of Power Sources (2022) Vol. 556, pp. 232389-232389
Closed Access | Times Cited: 28
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