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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:

A review on lifetime prediction of proton exchange membrane fuel cells system
Zhiguang Hua, Zhixue Zheng, Elodie Pahon, et al.
Journal of Power Sources (2022) Vol. 529, pp. 231256-231256
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

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: 96
A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism
Chunchun Jia, Hongwen He, Jiaming Zhou, et al.
International Journal of Hydrogen Energy (2024) Vol. 60, pp. 133-146
Closed Access | Times Cited: 55
Main degradation mechanisms of polymer electrolyte membrane fuel cell stacks – Mechanisms, influencing factors, consequences, and mitigation strategies
Eva Wallnöfer‐Ogris, Florian Poimer, Rebekka Köll, et al.
International Journal of Hydrogen Energy (2023) Vol. 50, pp. 1159-1182
Open Access | Times Cited: 41
Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells
Vijay Mohan Nagulapati, S. Shiva Kumar, Vimalesh Annadurai, et al.
Energy and AI (2023) Vol. 12, pp. 100237-100237
Open Access | Times Cited: 39
Remaining useful life prediction of vehicle-oriented PEMFC systems based on IGWO-BP neural network under real-world traffic conditions
Jibin Yang, Le Wang, Bo Zhang, et al.
Energy (2024) Vol. 291, pp. 130334-130334
Closed Access | Times Cited: 20
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: 20
The Degradation Prediction of Proton Exchange Membrane Fuel Cell Performance Based on a Transformer Model
Xuan Meng, Jian Mei, Xingwang Tang, et al.
Energies (2024) Vol. 17, Iss. 12, pp. 3050-3050
Open Access | Times Cited: 17
Short-term performance degradation prediction of a commercial vehicle fuel cell system based on CNN and LSTM hybrid neural network
Bei Sun, Xudong Liu, Jiayuan Wang, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 23, pp. 8613-8628
Closed Access | Times Cited: 59
PEMFC performance decay during real-world automotive operation: Evincing degradation mechanisms and heterogeneity of ageing
Elena Colombo, Andrea Baricci, Andrea Bisello, et al.
Journal of Power Sources (2022) Vol. 553, pp. 232246-232246
Closed Access | Times Cited: 42
Prescriptive Lifetime Management for PEM fuel cell systems in transportation applications, Part I: State of the art and conceptual design
Steffen Dirkes, Julian Leidig, Philipp Fisch, et al.
Energy Conversion and Management (2022) Vol. 277, pp. 116598-116598
Closed Access | Times Cited: 42
A Comprehensive Review on Fuel Cell UAV Key Technologies: Propulsion System, Management Strategy, and Design Procedure
Liangcai Xu, Yigeng Huangfu, Rui Ma, et al.
IEEE Transactions on Transportation Electrification (2022) Vol. 8, Iss. 4, pp. 4118-4139
Open Access | Times Cited: 41
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Chu Wang, Manfeng Dou, Zhongliang Li, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109123-109123
Open Access | Times Cited: 38
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Ke Xue, Jun Yang, Ming Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Closed Access | Times Cited: 30
Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning
Wenbin He, Ting Liu, Wuyi Ming, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114193-114193
Closed Access | Times Cited: 27
Performance degradation prediction method of PEM fuel cells using bidirectional long short-term memory neural network based on Bayesian optimization
Dongfang Chen, Wenlong Wu, Kuanyu Chang, et al.
Energy (2023) Vol. 285, pp. 129469-129469
Closed Access | Times Cited: 23
Modeling a hydrogen-based sustainable multi-carrier energy system using a multi-objective optimization considering embedded joint chance constraints
Hui Zhang, Jiye Wang, Xiongwen Zhao, et al.
Energy (2023) Vol. 278, pp. 127643-127643
Closed Access | Times Cited: 22
Health state monitoring and predicting of proton exchange membrane fuel cells: A review
K. J. Li, Jichao Hong, Chi Zhang, et al.
Journal of Power Sources (2024) Vol. 612, pp. 234828-234828
Closed Access | Times Cited: 13
Fuel cell life prediction considering the recovery phenomenon of reversible voltage loss
Xuan Meng, Chuanyu Sun, Jian Mei, et al.
Journal of Power Sources (2024) Vol. 625, pp. 235634-235634
Closed Access | Times Cited: 13
Health management review for fuel cells: Focus on action phase
Jian Zuo, Nadia Yousfi Steiner, Zhongliang Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 201, pp. 114613-114613
Open Access | Times Cited: 11
Intelligent diagnosis of proton exchange membrane fuel cell water states based on flooding-specificity experiment and deep learning method
Yuqi Zhang, Yu Li, Caizhi Zhang, et al.
Renewable Energy (2024) Vol. 222, pp. 119966-119966
Closed Access | Times Cited: 10
Life prediction for proton exchange membrane fuel cell based on experimental results and combinatorial optimization algorithm
Weifeng Huang, Minghong Liu, Caizhi Zhang, et al.
International Journal of Hydrogen Energy (2024) Vol. 79, pp. 364-376
Closed Access | Times Cited: 9
Degradation prediction of PEM water electrolyzer under constant and start-stop loads based on CNN-LSTM
Boshi Xu, Wenbiao Ma, Wenyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100420-100420
Open Access | Times Cited: 9
State of health prediction for proton exchange membrane fuel cells combining semi-empirical model and machine learning
Jichao Hong, Haixu Yang, Fengwei Liang, et al.
Energy (2024) Vol. 291, pp. 130364-130364
Closed Access | Times Cited: 8
Accuracy improvement of fuel cell prognostics based on voltage prediction
Chang Liu, Jiabin Shen, Zhen Dong, et al.
International Journal of Hydrogen Energy (2024) Vol. 58, pp. 839-851
Open Access | Times Cited: 8
Review on proton exchange membrane fuel cells: Safety analysis and fault diagnosis
Jichao Hong, Jingsong Yang, Zhipeng Weng, et al.
Journal of Power Sources (2024) Vol. 617, pp. 235118-235118
Closed Access | Times Cited: 8
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