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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:

Bi-directional long short-term memory recurrent neural network with attention for stack voltage degradation from proton exchange membrane fuel cells
Fu‐Kwun Wang, Tadele Mamo, Xiao‐Bin Cheng
Journal of Power Sources (2020) Vol. 461, pp. 228170-228170
Closed Access | Times Cited: 93

Showing 26-50 of 93 citing articles:

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
A Hybrid Health Prognostics Method for Proton Exchange Membrane Fuel Cells With Internal Health Recovery
Weiwen Peng, Zongyi Wei, Cheng‐Geng Huang, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 9, Iss. 3, pp. 4406-4417
Closed Access | Times Cited: 17
Remaining useful life prediction of lithium-ion batteries using a spatial temporal network model based on capacity self-recovery effect
Ang Li, Huixin Tian, Kun Li
Journal of Energy Storage (2023) Vol. 67, pp. 107557-107557
Closed Access | Times Cited: 17
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
Predicting future capacity of lithium-ion batteries using transfer learning method
Jia‐Hong Chou, Fu‐Kwun Wang, Shih‐Che Lo
Journal of Energy Storage (2023) Vol. 71, pp. 108120-108120
Closed Access | Times Cited: 16
Diagnostic and prognostic for prescriptive maintenance and control of PEMFC systems in an industrial framework
Gaultier Gibey, Elodie Pahon, Noureddine Zerhouni, et al.
Journal of Power Sources (2024) Vol. 613, pp. 234864-234864
Closed Access | Times Cited: 6
Degradation prediction of PEMFC based on BiTCN-BiGRU-ELM fusion prognostic method
Zhiguang Hua, Qi Yang, Jingwen Chen, et al.
International Journal of Hydrogen Energy (2024) Vol. 87, pp. 361-372
Closed 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
A novel multivariable prognostic approach for PEMFC degradation and remaining useful life prediction using random forest and temporal convolutional network
Tian Zhang, Zhengmeng Hou, LI Xiao-qin, et al.
Applied Energy (2025) Vol. 385, pp. 125569-125569
Open Access
Performance analysis of PEM fuel cell in mobile application under real traffic and environmental conditions
Kui Chen, Salah Laghrouche, Abdesslem Djerdir
Energy Conversion and Management (2020) Vol. 227, pp. 113602-113602
Open Access | Times Cited: 41
Long-Term Performance Prediction of PEMFC Based on LASSO-ESN
Kai He, Lei Mao, Jianbo Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Open Access | Times Cited: 39
Prognosis of fuel cell degradation under different applications using wavelet analysis and nonlinear autoregressive exogenous neural network
Kui Chen, Salah Laghrouche, Abdesslem Djerdir
Renewable Energy (2021) Vol. 179, pp. 802-814
Open Access | Times Cited: 37
Degradation trajectories prognosis for PEM fuel cell systems based on Gaussian process regression
Huiwen Deng, Weihao Hu, Di Cao, et al.
Energy (2021) Vol. 244, pp. 122569-122569
Open Access | Times Cited: 36
Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells
Chu Wang, Zhongliang Li, Rachid Outbib, et al.
Applied Energy (2021) Vol. 305, pp. 117918-117918
Open Access | Times Cited: 35
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
Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction
Zhanhang Li, Jian Zhou, Hani Nassif, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109078-109078
Closed Access | Times Cited: 27
Multistep prediction of remaining useful life of proton exchange membrane fuel cell based on temporal convolutional network
Mingzhang Pan, Pengfei Hu, Gao Ran, et al.
International Journal of Green Energy (2022) Vol. 20, Iss. 4, pp. 408-422
Closed Access | Times Cited: 22
Remaining useful life prediction of PEMFC based on CNN-Birnn model
Jiale Luo, Tao Chen, Fei Xiao, et al.
International Journal of Green Energy (2023) Vol. 20, Iss. 15, pp. 1729-1740
Closed Access | Times Cited: 13
Degradation prediction of proton exchange membrane fuel cell based on mixed gated units under multiple operating conditions
Yang Yang, Yuanhang Yang, Shenpei Zhou, et al.
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 268-281
Closed Access | Times Cited: 4
A predictive framework for PEMFC dynamic load performance degradation based on feature parameter analysis
Yang Yu, Qinghua Yu, RunSen Luo, et al.
International Journal of Hydrogen Energy (2024) Vol. 71, pp. 1090-1103
Closed Access | Times Cited: 4
A method for predicting long-term degradation of fuel cells: Wavelet-linear enhanced neural network
Xiaohui Liu, Jianhua Chen, Renfang Wang, et al.
International Journal of Hydrogen Energy (2025) Vol. 102, pp. 594-608
Closed Access
Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia
Fatemeh Rezaie, Mahdi Panahi, Changhyun Jun, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
BSAformer: bidirectional sequence splitting aggregation attention mechanism for long term series forecasting
Qingbo Zhu, Jialin Han, Sheng Yang, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 4
Open Access
Exploring Performance Degradation of Proton Exchange Membrane Fuel Cells Based on Diffusion Transformer Model
Lingling Lv, Pucheng Pei, Peng Ren, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1191-1191
Open Access
Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter
Serigne Daouda Pene, Antoine Picot, Fabrice Gamboa, et al.
Mathematics and Computers in Simulation (2025)
Open Access

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