Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 16 citing articles:

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: 26
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
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
Deep learning with dual-stage attention mechanism for interpretable prediction of proton exchange membrane fuel cell performance degradation
Yang Yu, Qinghua Yu, RunSen Luo, et al.
International Journal of Hydrogen Energy (2024) Vol. 58, pp. 902-911
Closed Access | Times Cited: 7
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
A bypass valve-based cooperative controller of air supply flow and pressure for vehicular PEM fuel cell system
Binfei Hu, Yafu Zhou, Jing Lian
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (2025)
Closed Access
Analyzing Transformer Insulation Paper Prognostics and Health Management: A Modeling Framework Perspective
Andrew Adewunmi Adekunle, I. Fofana, Patrick Picher, et al.
IEEE Access (2024) Vol. 12, pp. 58349-58377
Open Access | Times Cited: 4
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: 9
A multi-scale fuel cell degradation prediction method based on isometric convolution block and long short-term memory networks
Zifei Wang, Jili Tao, Yuanmin Hu, et al.
International Journal of Hydrogen Energy (2024) Vol. 69, pp. 675-686
Closed Access | Times Cited: 2
Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers
Balyogi Mohan Dash, Belkacem Ould Bouamama, Komi Midzodzi Pékpé, et al.
Neurocomputing (2024) Vol. 594, pp. 127871-127871
Closed Access | Times Cited: 1
Multi‐step performance degradation prediction method for proton‐exchange membrane fuel cell stack using 1D convolution layer and CatBoost
Zehui Zhang, Tianhang Dong, Xiaobin Xu, et al.
International Journal of Adaptive Control and Signal Processing (2024)
Closed Access | Times Cited: 1
Enhanced performance prediction for proton exchange membrane fuel cells: A comprehensive study with different load profiles
Sami Ekici, Masud Kabir
International Journal of Hydrogen Energy (2024)
Closed Access | Times Cited: 1
Analysis and Forecasting of Temperature Based on Temporal Fusion Transformer Model: A Case Study of Urumqi
Xinjun Song, Haiyang Sun, Shiyang Zhan, et al.
(2024), pp. 404-409
Closed Access
Degradation Prediction of Pem Water Electrolyzer Under Constant and Start-Stop Loads Based on Cnn-Lstm
Boshi Xu, Wenbiao Ma, Wenyan Wu, et al.
(2024)
Closed Access
A Proton Exchange Membrane Fuel Cells Degradation Prediction Method Based On Multi-Scale Temporal Information Merging Network
Zifei Wang, Jili Tao, Zhitao Liu, et al.
Energy (2024), pp. 133995-133995
Closed Access
Prior Knowledge-Infused Self-Supervised Learning and Explainable Ai for Fault Detection and Isolation in Pem Electrolyzers
Balyogi Mohan Dash, Belkacem Ould Bouamama, Komi Midzodzi Pékpé, et al.
(2023)
Closed Access
Page 1

Scroll to top