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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:

Remaining Useful Life Prediction for Fuel Cell Based on Support Vector Regression and Grey Wolf Optimizer Algorithm
Kui Chen, Salah Laghrouche, Abdesslem Djerdir
IEEE Transactions on Energy Conversion (2021) Vol. 37, Iss. 2, pp. 778-787
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
Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review
Sharif Naser Makhadmeh, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
IEEE Access (2023) Vol. 12, pp. 22991-23028
Open Access | Times Cited: 51
Remaining useful life prediction of vehicle-oriented PEMFC systems based on IGWO-BP neural network under real-world traffic conditions
Jibin Yang, Le Wang, Bo Zhang, et al.
Energy (2024) Vol. 291, pp. 130334-130334
Closed Access | Times Cited: 20
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
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
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
State of health prediction for proton exchange membrane fuel cells combining semi-empirical model and machine learning
Jichao Hong, Haixu Yang, Fengwei Liang, et al.
Energy (2024) Vol. 291, pp. 130364-130364
Closed Access | Times Cited: 8
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, et al.
IEEE Access (2023) Vol. 11, pp. 41741-41769
Open 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
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
Support Vector Regression-Based Performance Prediction for Unmanned Aerial Vehicles
Han Xu, Wenhao Bi, Shuangfei Xu, et al.
International Journal of Aeronautical and Space Sciences (2025)
Closed Access
A review of hybrid methods based remaining useful life prediction framework and SWOT analysis for energy storage systems in electric vehicle application
Turki Alsuwian, Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116152-116152
Closed Access
Application of Machine Learning in Fuel Cell Research
D. Su, Jiayang Zheng, Junjie Ma, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4390-4390
Open Access | Times Cited: 14
Hybrid Physics-Based and Data-Driven Prognostic for PEM Fuel Cells Considering Voltage Recovery
Hangyu Wu, Wei Wang, Yang Li, et al.
IEEE Transactions on Energy Conversion (2023) Vol. 39, Iss. 1, pp. 601-612
Closed Access | Times Cited: 12
A hybrid CNN–BiLSTM–AT model optimized with enhanced whale optimization algorithm for remaining useful life forecasting of fuel cell
Rui Quan, Jian Zhang, Xuerong Li, et al.
AIP Advances (2024) Vol. 14, Iss. 2
Open Access | Times Cited: 4
A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
Jiaming Zhou, Xing Shu, Jinming Zhang, et al.
International Journal of Hydrogen Energy (2024) Vol. 94, pp. 394-405
Closed Access | Times Cited: 4
A novel sub-model selection algorithm considering model interactions in combination forecasting for carbon price forecasting
Jingling Yang, Liren Chen, Huayou Chen
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Predicting the Remaining Life of Oil Pipeline Circumferential Welds Based on Hybrid Machine Learning-Based Methods
Wang Manqi, Bohong Wang, Yu Zhipeng, et al.
Energy (2024) Vol. 307, pp. 132618-132618
Closed Access | Times Cited: 3
Intelligence Techniques in Sustainable Energy: Analysis of a Decade of Advances
Juan D. Velásquez, Lorena Cadavid, Carlos Franco
Energies (2023) Vol. 16, Iss. 19, pp. 6974-6974
Open Access | Times Cited: 7
Enhanced Support Vector Machine Based on Grey Wolf Optimizer for Fruits Image Classification using MPEG-7 Color and Texture Features Fusion
Joko Siswantoro
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 1-11
Open Access | Times Cited: 2
Integrating fuzzy modelling and war strategy optimization for identifying optimal operating factors of direct ethanol fuel cell
Hegazy Rezk, Hamza Faraji
Results in Engineering (2024), pp. 102983-102983
Open Access | Times Cited: 2
A Comprehensive Framework for Estimating the Remaining Useful Life of Li-ion Batteries under Limited Data Conditions with no Temporal Identifier
Camilo Lopez-Salazar, Stephen Ekwaro-Osire, Shweta Dabetwar, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110517-110517
Closed Access | Times Cited: 2
Remaining useful life prediction for bearing of an air turbine starter using a novel end-to-end network
Runxia Guo, JI Yu-bin
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065109-065109
Closed Access | Times Cited: 6
Short-term performance degradation prediction of proton exchange membrane fuel cell based on discrete wavelet transform and gaussian process regression
Fan Zhang, Bowen Wang, Zhichao Gong, et al.
Next Energy (2023) Vol. 1, Iss. 3, pp. 100052-100052
Open Access | Times Cited: 5
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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