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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:

Degradation prediction of proton exchange membrane fuel cell based on Bi-LSTM-GRU and ESN fusion prognostic framework
Songyang Li, Weiling Luan, Chang Wang, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 78, pp. 33466-33478
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

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
Study on thermo-electric-hydrogen conversion mechanisms and synergistic operation on hydrogen fuel cell and electrochemical battery in energy flexible buildings
Lu Zhou, Yuekuan Zhou
Energy Conversion and Management (2022) Vol. 277, pp. 116610-116610
Closed Access | Times Cited: 40
Evolutionary gate recurrent unit coupling convolutional neural network and improved manta ray foraging optimization algorithm for performance degradation prediction of PEMFC
Zihan Tao, Chu Zhang, Jinlin Xiong, et al.
Applied Energy (2023) Vol. 336, pp. 120821-120821
Closed Access | Times Cited: 39
A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models
You Keshun, Guangqi Qiu, Yingkui Gu
IEEE Sensors Journal (2023) Vol. 24, Iss. 14, pp. 21893-21905
Closed Access | Times Cited: 29
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
A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning
Mohammad J. Izadi, Pourya Hassani, Mehrdad Raeesi, et al.
Energy (2024) Vol. 293, pp. 130602-130602
Closed Access | Times Cited: 13
An adaptative approach for estimating the remaining useful life of a heavy-duty fuel cell vehicle
Nicolas Morizet, Perceval Desforges, Christophe Geissler, et al.
Journal of Power Sources (2024) Vol. 597, pp. 234152-234152
Open Access | Times Cited: 12
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
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
An interpretable data-driven method for degradation prediction of proton exchange membrane fuel cells based on temporal fusion transformer and covariates
Hong-Wei Li, Bin-Xin Qiao, Zhicheng Hou, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 66, pp. 25958-25971
Closed Access | Times Cited: 16
Performance decay prediction model of proton exchange membrane fuel cell based on particle swarm optimization and gate recurrent unit
Ziliang Zhao, Yifan Fu, Ji Pu, et al.
Energy and AI (2024) Vol. 17, pp. 100399-100399
Open Access | Times Cited: 5
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
Long-term degradation prediction method for proton exchange membrane fuel cells based on hybrid transfer learning
Zhe Li, Xiaofang Yuan, Chen Zhang, et al.
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 781-789
Closed Access
Remaining useful life prediction of PEMFC based on the multi-input cycle reservoir with jump network
Jiashu Jin, Yuepeng Chen, Changjun Xie, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 34, pp. 12844-12860
Closed Access | Times Cited: 15
Interpretable deep learning for accelerated fading recognition of lithium-ion batteries
Chang Wang, Ying Chen, Weiling Luan, et al.
eTransportation (2023) Vol. 18, pp. 100281-100281
Closed Access | Times Cited: 13
Short and long-term prognostics of the remaining useful life of a proton exchange membrane fuel cell using deep learning and transformer model
Mehmet İsmail Gürsoy
International Journal of Hydrogen Energy (2025)
Closed Access
Physics-informed Neural Network Supported Wiener Process for Degradation Modeling and Reliability Prediction
Zewen He, Shaoping Wang, Jian Shi, et al.
Reliability Engineering & System Safety (2025), pp. 110906-110906
Closed Access
Voltage abnormity prediction method of lithium-ion energy storage power station using informer based on Bayesian optimization
Zhibo Rao, Jiahui Wu, Guodong Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Recursive performance prediction of automotive fuel cell based on conditional time series forecasting with convolutional neural network
Meiling Yue, Xin Zhang, Teng Teng, et al.
International Journal of Hydrogen Energy (2023) Vol. 56, pp. 248-258
Closed Access | Times Cited: 10
A method for the early prediction of abnormal conditions in chemical processes combined with physical knowledge and the data-driven model
Shangzhi Liu, Qinglong Liu, Salim Ahmed, et al.
Journal of Loss Prevention in the Process Industries (2023) Vol. 86, pp. 105185-105185
Closed Access | Times Cited: 8
High accuracy and adaptability of PEMFC degradation interval prediction with Informer-GPR under dynamic conditions
Wenchao Zhu, Changzhi Li, Yafei Xu, et al.
Energy (2024) Vol. 307, pp. 132781-132781
Closed Access | Times Cited: 2
Expert deep learning techniques for remaining useful life prediction of diverse energy storage Systems: Recent Advances, execution Features, issues and future outlooks
Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, Afida Ayob, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125163-125163
Closed Access | Times Cited: 2
Exploring the state-of-operation of proton exchange membrane electrolyzers
Ali Javed, N. Nijs-De Wolf, Fabian Meyer, et al.
International Journal of Hydrogen Energy (2024) Vol. 98, pp. 280-294
Open Access | Times Cited: 2
Air Traffic Controller Fatigue Detection Based on Facial and Vocal Features Using Long Short-Term Memory
Zhousheng Huang, Weizhen Tang, Qiqi Tian, et al.
IEEE Access (2024) Vol. 12, pp. 56663-56682
Open Access | Times Cited: 1
Advances of membrane electrode assembly aging research of proton exchange membrane fuel cell under variable load: degradation mechanism, aging indicators, prediction strategy, and perspectives
Liyun Fan, Kui Xu, Zejun Jiang, et al.
Ionics (2024) Vol. 30, Iss. 9, pp. 5111-5140
Closed Access | Times Cited: 1
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