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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 comprehensive review of the lithium-ion battery state of health prognosis methods combining aging mechanism analysis
Yanqiu Xiao, Jishu Wen, Lei Yao, et al.
Journal of Energy Storage (2023) Vol. 65, pp. 107347-107347
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application
Turki Alsuwian, Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123123-123123
Closed Access | Times Cited: 34
Advances in battery state estimation of battery management system in electric vehicles
Ming Jiang, Dongjiang Li, Zonghua Li, et al.
Journal of Power Sources (2024) Vol. 612, pp. 234781-234781
Closed Access | Times Cited: 16
State of Health Estimation of Lithium-ion Battery based on Constant Current Charging Time Feature Extraction and Internal Resistance Compensation
Jinlei Sun, Xinwei Liu, Xin Li, et al.
Energy (2025), pp. 134472-134472
Closed Access | Times Cited: 1
State of the Art in Electric Batteries’ State-of-Health (SoH) Estimation with Machine Learning: A Review
Giovane Ronei Sylvestrin, Joylan Nunes Maciel, Márcio Luís Munhoz Amorim, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 746-746
Open Access | Times Cited: 1
Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Sahar Khaleghi, Md Sazzad Hosen, Joeri Van Mierlo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114224-114224
Closed Access | Times Cited: 34
Lithium battery health state assessment based on vehicle-to-grid (V2G) real-world data and natural gradient boosting model
Shuang Wen, Ni Lin, Shengxu Huang, et al.
Energy (2023) Vol. 284, pp. 129246-129246
Closed Access | Times Cited: 21
Impacts of vibration and cycling on electrochemical characteristics of batteries
Zhi Wang, Qingjie Zhao, Xianyu Yu, et al.
Journal of Power Sources (2024) Vol. 601, pp. 234274-234274
Closed Access | Times Cited: 10
Early-stage degradation trajectory prediction for lithium-ion batteries: A generalized method across diverse operational conditions
Xianbin Yang, Haicheng Xie, Lisheng Zhang, et al.
Journal of Power Sources (2024) Vol. 612, pp. 234808-234808
Closed Access | Times Cited: 9
A Data-Fusion-Model Method for State of Health Estimation of Li-Ion Battery Packs Based on Partial Charging Curve
Xingzi Qiang, Wenting Liu, Zhiqiang Lyu, et al.
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 5, pp. 100169-100169
Open Access | Times Cited: 8
A novel feature optimization and ensemble learning method for state-of-health prediction of mining lithium-ion batteries
Juqiang Feng, Feng Cai, Yang Zhao, et al.
Energy (2024) Vol. 299, pp. 131474-131474
Closed Access | Times Cited: 8
Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions
Molla Shahadat Hossain Lipu, M. Rahman, Muhamad Mansor, et al.
Journal of Energy Storage (2024) Vol. 92, pp. 112107-112107
Closed Access | Times Cited: 8
Analysis and prediction of battery aging modes based on transfer learning
Jianguo Chen, Xuebing Han, Tao Sun, et al.
Applied Energy (2023) Vol. 356, pp. 122330-122330
Closed Access | Times Cited: 20
Battery Reliability Assessment in Electric Vehicles: A State-of-the-Art
Joseph Omakor, Suruz Miah, Hicham Chaoui
IEEE Access (2024) Vol. 12, pp. 77903-77931
Open Access | Times Cited: 7
State-of-charge estimation for lithium-ion batteries based on modified unscented Kalman filter using improved parameter identification
Bin Yao, Yongxiang Cai, Wei Liu, et al.
International Journal of Electrochemical Science (2024) Vol. 19, Iss. 5, pp. 100574-100574
Open Access | Times Cited: 6
Application of an experimental design approach to optimize aging protocols for Lithium-metal batteries
Eugenio Sandrucci, Matteo Palluzzi, Sergio Brutti, et al.
Deleted Journal (2025), pp. 100041-100041
Open Access
Framework for Selecting the Most Effective State of Health Method for Second-Life Lithium-Ion Batteries: A Scientometric and Multi-Criteria Decision Matrix Approach
A Salem, Basil M. Darras, Mohammad A. Nazzal
Energies (2025) Vol. 18, Iss. 6, pp. 1527-1527
Open Access
Kalman filter anomaly values processing meta-model ensemble learning framework for Lithium-ion battery capacity prediction
Xue Han, Huimei Yuan, Lifeng Wu
Energy (2025), pp. 135625-135625
Closed Access
State of health estimation approach for Li-ion batteries based on mechanism feature empowerment
Lei Yao, Jishu Wen, Yanqiu Xiao, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110965-110965
Closed Access | Times Cited: 4
The Resurging of Hydrocarbon Gas as Early Sign of Battery Rollover Degradation
Zhenzhen Jiang, Liang Zhang, Yue Yu, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
State of Health Estimation of Lithium-Ion Batteries Based on Feature Optimization and Data-Driven Models
G. G. Mu, Qingguo Wei, Yonghong Xu, et al.
Energy (2025), pp. 134578-134578
Closed Access
Deep learning model-based real-time state-of-health estimation of lithium-ion batteries under dynamic operating conditions
Telu Tang, Xiangguo Yang, Muheng Li, et al.
Energy (2025), pp. 134697-134697
Closed Access
Joint prediction of the state of health and remaining useful life for lithium-ion batteries based on Wrapper Cascade-Stacking
Shuaijun Ma, Xinxing Hou, Maomao Luo
Journal of Energy Storage (2025) Vol. 112, pp. 115563-115563
Closed Access
Innovations and prognostics in battery degradation and longevity for energy storage systems
Julian Tebbe, Alexander Hartwig, Ali Jamali, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115724-115724
Open Access
A novel ensemble learning model for state of health estimation of lithium-ion batteries
Chunhua Zeng, Cheng Xu, Haomiao Li, et al.
Journal of Power Sources (2025) Vol. 638, pp. 236608-236608
Closed Access
A sequence to sequence prediction model for remaining useful life of lithium-ion batteries with Bayesian optimisation process visualization
Peiwei Xie, Xiaoxian Pang, Chengyun Wang, et al.
Journal of Energy Storage (2024) Vol. 87, pp. 111346-111346
Closed Access | Times Cited: 3
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