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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:

Design of proton exchange membranes with high durability for fuel cells: From the perspective of machine learning
Zhiyan Rui, Rui Ding, Kang Hua, et al.
Journal of Membrane Science (2023) Vol. 683, pp. 121831-121831
Closed Access | Times Cited: 15

Showing 15 citing articles:

A recent overview of proton exchange membrane fuel cells: Fundamentals, applications, and advances
Naef A.A. Qasem
Applied Thermal Engineering (2024) Vol. 252, pp. 123746-123746
Closed Access | Times Cited: 16
Cerium based metal-organic framework as the efficient radical quencher for proton exchange membrane fuel cells
Kangwei Xu, Guipeng Liu, Xiaojun Xu, et al.
Journal of Membrane Science (2024) Vol. 699, pp. 122641-122641
Closed Access | Times Cited: 8
Analysis of proton exchange membranes for fuel cells based on statistical theory and data mining
Hong Wang, Liang Yang
iScience (2024) Vol. 27, Iss. 4, pp. 109360-109360
Open Access | Times Cited: 7
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: 7
Machine learning for the advancement of membrane science and technology: A critical review
Gergő Ignácz, Lana Bader, Aron K. Beke, et al.
Journal of Membrane Science (2024) Vol. 713, pp. 123256-123256
Open Access | Times Cited: 7
Manganese (Ⅱ)-genistein complex as an efficient radical scavenger for fuel cells and investigation of its antioxidation mechanism
Zhihui Wang, Kangwei Xu, Xiaojun Xu, et al.
International Journal of Hydrogen Energy (2025) Vol. 103, pp. 111-118
Closed Access
The decontaminant mechanism of polyamide membranes for sulfamethoxazole: The insights from combined machine learning and molecular modelling
Zihang Zhao, Dan Lu, Ming Wu, et al.
Chemical Engineering Science (2025), pp. 121293-121293
Closed Access
High-Performance Proton Exchange Membrane of Sulfonated Polystyrene-b-polyisobutylene-b-polystyrene
Shenghui Zhu, Yingying Zhang, Jin Zhang, et al.
ACS Applied Polymer Materials (2024) Vol. 6, Iss. 7, pp. 3930-3941
Closed Access | Times Cited: 3
Advanced composite membranes based on multifunctional fillers constructed by covalently linking phosphotungstic acid with mesoporous carbon nitride for high-performance and durable fuel cell under low humidity
Lili Liu, Linxing Shi, LV Jian-zhou, et al.
Journal of Membrane Science (2023) Vol. 689, pp. 122154-122154
Closed Access | Times Cited: 6
Expert-augmented machine learning to accelerate the discovery of copolymers for anion exchange membrane
Lunyang Liu, Yunqi Li, Jifu Zheng, et al.
Journal of Membrane Science (2023) Vol. 693, pp. 122327-122327
Closed Access | Times Cited: 6
Optimization strategies to mitigate reactant starvation in a dead-ended hydrogen–oxygen proton exchange membrane fuel cell during cyclic loading
Yang Liu, Junjie Zhao, Zhengkai Tu, et al.
Fuel (2023) Vol. 357, pp. 129886-129886
Closed Access | Times Cited: 5
Proton conductivity performance and its correlation with physio-chemical properties of proton exchange membrane (PEM)
Mirza Nusrat Sweety, Md.A. Salam
Chinese Journal of Chemical Engineering (2024) Vol. 74, pp. 100-116
Closed Access | Times Cited: 1
An Effective Deep Learning Approach for the Estimation of Proton Energy by Using Artificial Neural Network
Manar AL-Mahdawi, Aythem Khairi Kareem, Ahmed Adil Nafea, et al.
(2024) Vol. 7, pp. 257-262
Closed Access
Gaussian Process Regression (GPR) Model Development for Predicting the PEMFC Performance Against Temporal Hydrogen Crossover in Matlab
Ricky Jay Gomez, Dahlia C. Apodaca, Michelle Almendrala
Journal of Fluid Flow Heat and Mass Transfer (2024) Vol. 11
Open Access
Metal-based electrocatalysts with data-driven designed particle size for hydrogen evolution
Chang Liu, Shan Zhu, Fengxiang Sun, et al.
Chemical Engineering Journal (2023) Vol. 476, pp. 146918-146918
Closed Access
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