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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:

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 26-50 of 291 citing articles:

State of health estimation and remaining useful life assessment of lithium-ion batteries: A comparative study
Yassine Toughzaoui, Safieh Bamati, Hicham Chaoui, et al.
Journal of Energy Storage (2022) Vol. 51, pp. 104520-104520
Open Access | Times Cited: 80
Remaining life prediction of lithium-ion batteries based on health management: A review
Kai Song, Die Hu, Yao Tong, et al.
Journal of Energy Storage (2022) Vol. 57, pp. 106193-106193
Closed Access | Times Cited: 75
An overview of data-driven battery health estimation technology for battery management system
Minzhi Chen, Guijun Ma, Weibo Liu, et al.
Neurocomputing (2023) Vol. 532, pp. 152-169
Closed Access | Times Cited: 73
Physics-guided machine learning frameworks for fatigue life prediction of AM materials
Lanyi Wang, Shun‐Peng Zhu, Changqi Luo, et al.
International Journal of Fatigue (2023) Vol. 172, pp. 107658-107658
Closed Access | Times Cited: 65
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Huiqin Li, Zhengxin Zhang, Tianmei Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111120-111120
Closed Access | Times Cited: 65
State of health estimation with attentional long short-term memory network for lithium-ion batteries
Mingqiang Lin, Jian Wu, Jinhao Meng, et al.
Energy (2023) Vol. 268, pp. 126706-126706
Closed Access | Times Cited: 57
Specialized deep neural networks for battery health prognostics: Opportunities and challenges
Jingyuan Zhao, Xuebing Han, Minggao Ouyang, et al.
Journal of Energy Chemistry (2023) Vol. 87, pp. 416-438
Closed Access | Times Cited: 57
Critical summary and perspectives on state-of-health of lithium-ion battery
Bo Yang, Yucun Qian, Qiang Li, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 190, pp. 114077-114077
Closed Access | Times Cited: 52
A data-driven approach for estimating state-of-health of lithium-ion batteries considering internal resistance
Mingqiang Lin, Chenhao Yan, Wei Wang, et al.
Energy (2023) Vol. 277, pp. 127675-127675
Closed Access | Times Cited: 49
Cloud-Based Artificial Intelligence Framework for Battery Management System
Dapai Shi, Jingyuan Zhao, Chika Eze, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4403-4403
Open Access | Times Cited: 39
Unsupervised dynamic prognostics for abnormal degradation of lithium-ion battery
Cong Wang, Yunxia Chen
Applied Energy (2024) Vol. 365, pp. 123280-123280
Closed Access | Times Cited: 32
Lithium battery prognostics and health management for electric vehicle application – A perspective review
Roushan Kumar, Kaushik Das
Sustainable Energy Technologies and Assessments (2024) Vol. 65, pp. 103766-103766
Closed Access | Times Cited: 16
Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features
Ying Zhang, Ming Zhang, Chao Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110002-110002
Open Access | Times Cited: 15
Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies
Mohamed Ahwiadi, Wilson Wang
Batteries (2025) Vol. 11, Iss. 1, pp. 31-31
Open Access | Times Cited: 1
Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects
Heng Li, Muaaz Bin Kaleem, Kailong Liu, et al.
Journal of Energy Storage (2025) Vol. 116, pp. 116002-116002
Closed Access | Times Cited: 1
Machine learning toward advanced energy storage devices and systems
Tianhan Gao, Wei Lu
iScience (2020) Vol. 24, Iss. 1, pp. 101936-101936
Open Access | Times Cited: 128
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter
Ruihua Jiao, Kaixiang Peng, Jie Dong
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 11, pp. 8831-8843
Closed Access | Times Cited: 113
A review on the state of health estimation methods of lead-acid batteries
Shida Jiang, Zhengxiang Song
Journal of Power Sources (2021) Vol. 517, pp. 230710-230710
Closed Access | Times Cited: 91
Battery state of health modeling and remaining useful life prediction through time series model
Chun Pang Lin, Javier Cabrera, Fangfang Yang, et al.
Applied Energy (2020) Vol. 275, pp. 115338-115338
Closed Access | Times Cited: 87
Recent advancement and enhanced battery performance using phase change materials based hybrid battery thermal management for electric vehicles
Abubakar Gambo Mohammed, Karem Elsayed Elfeky, Qiuwang Wang
Renewable and Sustainable Energy Reviews (2021) Vol. 154, pp. 111759-111759
Closed Access | Times Cited: 86
A state-of-health estimation method of lithium-ion batteries based on multi-feature extracted from constant current charging curve
Yongfang Guo, Kai Huang, Xiao Hu
Journal of Energy Storage (2021) Vol. 36, pp. 102372-102372
Closed Access | Times Cited: 73
Capacity estimation of batteries: Influence of training dataset size and diversity on data driven prognostic models
Vijay Mohan Nagulapati, Hyunjun Lee, Dawoon Jung, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108048-108048
Closed Access | Times Cited: 72
Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives
Meiling Yue, Samir Jemeï, Noureddine Zerhouni, et al.
Renewable Energy (2021) Vol. 179, pp. 2277-2294
Open Access | Times Cited: 66
Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process
Sen-Ju Zhang, Rui Kang, Yan‐Hui Lin
Reliability Engineering & System Safety (2021) Vol. 208, pp. 107440-107440
Closed Access | Times Cited: 63
Battery monitoring and prognostics optimization techniques: Challenges and opportunities
Concetta Semeraro, Mariateresa Caggiano, A.G. Olabi, et al.
Energy (2022) Vol. 255, pp. 124538-124538
Closed Access | Times Cited: 63

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