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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 novel long short-term memory networks-based data-driven prognostic strategy for proton exchange membrane fuel cells
Chu Wang, Zhongliang Li, Rachid Outbib, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 18, pp. 10395-10408
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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
Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles
Mojgan Fayyazi, Paramjotsingh Sardar, Sumit Infent Thomas, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5249-5249
Open Access | Times Cited: 49
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
Optimization of PEMFC system operating conditions based on neural network and PSO to achieve the best system performance
Jiaqi Tan, Haoqin Hu, Shengnan Liu, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 84, pp. 35790-35809
Closed Access | Times Cited: 42
Durability estimation and short-term voltage degradation forecasting of vehicle PEMFC system: Development and evaluation of machine learning models
Ze Liu, Sichuan Xu, Honghui Zhao, et al.
Applied Energy (2022) Vol. 326, pp. 119975-119975
Closed Access | Times Cited: 42
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
Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells
Samuel Jun Hoong Ong, Amani Al–Othman, Muhammad Tawalbeh
Energy (2023) Vol. 277, pp. 127721-127721
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
An improved neural network model for predicting the remaining useful life of proton exchange membrane fuel cells
Xilei Sun, Mingke Xie, Jianqin Fu, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 65, pp. 25499-25511
Closed Access | Times Cited: 26
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
Transfer learning-based deep learning models for proton exchange membrane fuel remaining useful life prediction
Getnet Awoke Kebede, Shih‐Che Lo, Fu‐Kwun Wang, et al.
Fuel (2024) Vol. 367, pp. 131461-131461
Closed Access | Times Cited: 10
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
A fusion prognostics strategy for fuel cells operating under dynamic conditions
Chu Wang, Manfeng Dou, Zhongliang Li, et al.
eTransportation (2022) Vol. 12, pp. 100166-100166
Open Access | Times Cited: 31
A new cost-minimizing power-allocating strategy for the hybrid electric bus with fuel cell/battery health-aware control
Hongwen He, Chunchun Jia, Jianwei Li
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 52, pp. 22147-22164
Closed Access | Times Cited: 31
Transformer Based Long-Term Prognostics for Dynamic Operating PEM Fuel Cells
Jianfeng Lv, Zhongliang Yu, Haochuan Zhang, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 1, pp. 1747-1757
Closed Access | Times Cited: 20
Accurate long-term prognostics of proton exchange membrane fuel cells using recurrent and convolutional neural networks
Kartik Sahajpal, K.P.S. Rana, Vineet Kumar
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 78, pp. 30532-30555
Closed Access | Times Cited: 19
Generative adversarial networks for stack voltage degradation and RUL estimation in PEMFCs under static and dynamic loads
Tamilarasan Sathesh, Chong-Kai Wang, Shih-Cheng Hu, et al.
International Journal of Hydrogen Energy (2024) Vol. 89, pp. 66-83
Closed Access | Times Cited: 5
Japanese waka translation supported by internet of things and artificial intelligence technology
Rizhong Shen
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Lifespan prediction model for proton exchange membrane fuel cell vehicle based on time series information feature extraction and optimization
Caizhi Zhang, Tong Niu, Zhongbao Wei, et al.
Renewable Energy (2025), pp. 122558-122558
Closed Access
Reliability assessment of PEMFC aging prediction based on probabilistic Bayesian mixed recurrent neural networks
Yanjun Liu, Hao Li, Yang Yang, et al.
Renewable Energy (2025), pp. 122892-122892
Closed Access
Degradation prediction of proton exchange membrane fuel cell using auto-encoder based health indicator and long short-term memory network
Kai He, Zhongyong Liu, Yuning Sun, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 82, pp. 35055-35067
Closed Access | Times Cited: 27
A Comprehensive Review of Degradation Prediction Methods for an Automotive Proton Exchange Membrane Fuel Cell
Huu-Linh Nguyen, Sang‐Min Lee, Sangseok Yu
Energies (2023) Vol. 16, Iss. 12, pp. 4772-4772
Open Access | Times Cited: 12
Remaining useful life prediction of PEMFC based on matrix long short-term memory
Fengyan Yi, Xing Shu, Jiaming Zhou, et al.
International Journal of Hydrogen Energy (2025) Vol. 111, pp. 228-237
Closed Access
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