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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:

A review on prognostics and health management (PHM) methods of lithium-ion batteries
Huixing Meng, Yan‐Fu Li
Renewable and Sustainable Energy Reviews (2019) Vol. 116, pp. 109405-109405
Closed Access | Times Cited: 291

Showing 1-25 of 291 citing articles:

Towards a low-carbon society: A review of lithium resource availability, challenges and innovations in mining, extraction and recycling, and future perspectives
Carlito Baltazar Tabelin, J.A. Dallas, Sophia Casanova, et al.
Minerals Engineering (2021) Vol. 163, pp. 106743-106743
Closed Access | Times Cited: 315
Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
Haifeng Dai, Bo Jiang, Xiao Hu, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 138, pp. 110480-110480
Closed Access | Times Cited: 301
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries
Ming‐Feng Ge, Yiben Liu, Xingxing Jiang, et al.
Measurement (2021) Vol. 174, pp. 109057-109057
Closed Access | Times Cited: 297
Toward Sustainable Reuse of Retired Lithium-ion Batteries from Electric Vehicles
Yang Hua, Xinhua Liu, Sida Zhou, et al.
Resources Conservation and Recycling (2020) Vol. 168, pp. 105249-105249
Closed Access | Times Cited: 217
On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges
Mounia Achouch, Mariya Dimitrova, Khaled Ziane, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8081-8081
Open Access | Times Cited: 199
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Badr Eddine Lebrouhi, Y. Khattari, Bilal Lamrani, et al.
Journal of Energy Storage (2021) Vol. 44, pp. 103273-103273
Open Access | Times Cited: 183
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Daoquan Chen, Wei-Cong Hong, Xiuze Zhou
IEEE Access (2022) Vol. 10, pp. 19621-19628
Open Access | Times Cited: 182
A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges
Nassim Noura, Loïc Boulon, Samir Jemeï
World Electric Vehicle Journal (2020) Vol. 11, Iss. 4, pp. 66-66
Open Access | Times Cited: 181
Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime
Muratahan Aykol, Chirranjeevi Balaji Gopal, Abraham Anapolsky, et al.
Journal of The Electrochemical Society (2021) Vol. 168, Iss. 3, pp. 030525-030525
Open Access | Times Cited: 176
Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Yunhong Che, Xiaosong Hu, Xianke Lin, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 2, pp. 338-371
Open Access | Times Cited: 171
Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Huzaifa Rauf, Muhammad Khalid, Naveed Arshad
Renewable and Sustainable Energy Reviews (2021) Vol. 156, pp. 111903-111903
Closed Access | Times Cited: 170
Toward a Safer Battery Management System: A Critical Review on Diagnosis and Prognosis of Battery Short Circuit
Rui Xiong, Suxiao Ma, Hailong Li, et al.
iScience (2020) Vol. 23, Iss. 4, pp. 101010-101010
Open Access | Times Cited: 164
Sustainable value chain of retired lithium-ion batteries for electric vehicles
Yang Hua, Sida Zhou, Yi Huang, et al.
Journal of Power Sources (2020) Vol. 478, pp. 228753-228753
Open Access | Times Cited: 164
Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang, Wen Song, Qiqiang Li
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 164
A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management
Shahid A. Hasib, Saiful Islam, Ripon K. Chakrabortty, et al.
IEEE Access (2021) Vol. 9, pp. 86166-86193
Open Access | Times Cited: 163
State-of-charge estimation and remaining useful life prediction of supercapacitors
Chunli Liu, Qiang Li, Kai Wang
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111408-111408
Closed Access | Times Cited: 160
Prognostics and health management of Lithium-ion battery using deep learning methods: A review
Ying Zhang, Yan‐Fu Li
Renewable and Sustainable Energy Reviews (2022) Vol. 161, pp. 112282-112282
Closed Access | Times Cited: 156
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
Yuxin Wen, Md Fashiar Rahman, Honglun Xu, et al.
Measurement (2021) Vol. 187, pp. 110276-110276
Open Access | Times Cited: 145
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis
Huixing Meng, Mengyao Geng, Te Han
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109288-109288
Closed Access | Times Cited: 130
An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries
Huanwei Xu, Lingfeng Wu, Shizhe Xiong, et al.
Energy (2023) Vol. 276, pp. 127585-127585
Closed Access | Times Cited: 128
State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Xing Shu, Shuhang Shen, Jiangwei Shen, et al.
iScience (2021) Vol. 24, Iss. 11, pp. 103265-103265
Open Access | Times Cited: 124
Developing an online data-driven approach for prognostics and health management of lithium-ion batteries
Sahar Khaleghi, Md Sazzad Hosen, Danial Karimi, et al.
Applied Energy (2021) Vol. 308, pp. 118348-118348
Closed Access | Times Cited: 119
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty
Jiusi Zhang, Yuchen Jiang, Xiang Li, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108357-108357
Closed Access | Times Cited: 114
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Kai Meng, Guiyin Xu, Xianghui Peng, et al.
Resources Conservation and Recycling (2022) Vol. 182, pp. 106207-106207
Closed Access | Times Cited: 96
The development of machine learning-based remaining useful life prediction for lithium-ion batteries
Xingjun Li, Dan Yu, Søren Byg Vilsen, et al.
Journal of Energy Chemistry (2023) Vol. 82, pp. 103-121
Open Access | Times Cited: 85
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