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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 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

Showing 1-25 of 27 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
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
Machine learning and Bayesian optimization for performance prediction of proton-exchange membrane fuel cells
Soufian Echabarri, Phuc Do, Hai Canh Vu, et al.
Energy and AI (2024) Vol. 17, pp. 100380-100380
Open Access | Times Cited: 15
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
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
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
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
Deep Learning-Based State-of-Health Estimation of Proton-Exchange Membrane Fuel Cells under Dynamic Operation Conditions
Yujia Zhang, Xingwang Tang, Sichuan Xu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4451-4451
Open Access | Times Cited: 7
Machine learning assisted health status analysis and degradation prediction of aging proton exchange membrane fuel cells
Fan Zhang, Meng Ni, Shupeng Tai, et al.
Applied Energy (2025) Vol. 384, pp. 125483-125483
Closed Access
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
Research of proton exchange membrane fuel cell degradation index and prediction method for automotive vehicles
Teng Teng, Xin Zhang, Meiling Yue, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 65, pp. 103789-103789
Closed Access | Times Cited: 4
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
Improved GRU prediction of paper pulp press variables using different pre-processing methods
Balduíno César Mateus, Mateus Mendes, José Torres Farinha, et al.
Production & Manufacturing Research (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 9
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
Degradation prediction of fuel cell systems based on different operating conditions in dynamic cycling condition
Xiaohui Liu, Jianhua Chen, Yian Wei, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e34783-e34783
Open Access | Times Cited: 1
A health index-based approach for fuel cell lifetime estimation
Hangyu Wu, Ruiming Zhang, Wenchao Zhu, et al.
iScience (2024) Vol. 27, Iss. 11, pp. 110979-110979
Open 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
Technological trajectory in fuel cell technologies: A patent-based main path analysis
Fang Han, Sejun Yoon, Nagarajan Raghavan, et al.
International Journal of Hydrogen Energy (2023) Vol. 50, pp. 1347-1361
Closed Access | Times Cited: 4
Performance Degradation Prediction of Pemfc Based on Harris Hawks Optimization and Bidirectional Gated Recurrent Units
Guisheng Chen, Qiang Liu, Tingjie Ba, et al.
(2024)
Closed Access
Energy management strategy for long-life fuel cell hybrid power systems based on improved whale optimization algorithm
Zhichao Fu, Qihong Chen, Ze Zhou, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 1-16
Closed Access
From Deep Learning to ChatGPT for Materials Design
Mohammed Mudabbiruddin, Amir Mosavi, Felde Imre
(2024), pp. 1-8
Closed Access
Prediction of PEM fuel cell performance degradation using bidirectional long short-term memory with chimp optimization algorithm
Başak Ekinci, İlker Dursun, Zeynep Garip, et al.
The European Physical Journal Special Topics (2024)
Closed Access
Smart monitoring and control systems for hydrogen fuel cells using AI
Somtochukwu Godfrey Nnabuife, Chinonyelum Udemu, Abdulhammed K. Hamzat, et al.
International Journal of Hydrogen Energy (2024) Vol. 110, pp. 704-726
Open Access
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