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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:

Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles
Renzheng Li, Jichao Hong, Huaqin Zhang, et al.
Energy (2022) Vol. 257, pp. 124771-124771
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
Jiachi Yao, Te Han
Energy (2023) Vol. 271, pp. 127033-127033
Closed Access | Times Cited: 142
Machine learning for predicting battery capacity for electric vehicles
Jingyuan Zhao, Heping Ling, Jin Liu, et al.
eTransportation (2022) Vol. 15, pp. 100214-100214
Closed Access | Times Cited: 108
Perspectives and challenges for future lithium-ion battery control and management
Yujie Wang, Xingchen Zhang, Kaiquan Li, et al.
eTransportation (2023) Vol. 18, pp. 100260-100260
Closed Access | Times Cited: 95
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
A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries
Prabhakar Sharma, Bhaskor Jyoti Bora
Batteries (2022) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 68
A review on rapid state of health estimation of lithium-ion batteries in electric vehicles
Zuolu Wang, Xiaoyu Zhao, Lei Fu, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 60, pp. 103457-103457
Open Access | Times Cited: 40
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
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
Review of battery state estimation methods for electric vehicles-Part II: SOH estimation
Osman Demirci, Sezai Taşkın, Erik Schaltz, et al.
Journal of Energy Storage (2024) Vol. 96, pp. 112703-112703
Closed Access | Times Cited: 23
A hybrid intelligent model using the distribution of relaxation time analysis of electrochemical impedance spectroscopy for lithium-ion battery state of health estimation
Xiaoyu Zhao, Shiyu Liu, Eric Li, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110814-110814
Open Access | Times Cited: 16
A battery capacity trajectory prediction framework with mileage correction for electric buses
Yifei Xu, Hengzhao Yang
Journal of Energy Storage (2025) Vol. 110, pp. 115301-115301
Closed Access | Times Cited: 1
Predictive Modeling for Electric Vehicle Battery State of Health: A Comprehensive Literature Review
Jianqiang Gong, Bin Xu, Fanghua Chen, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 337-337
Open 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
Accelerated state of health estimation of second life lithium-ion batteries via electrochemical impedance spectroscopy tests and machine learning techniques
Mona Faraji Niri, Muhammad Rashid, Jonathan Sansom, et al.
Journal of Energy Storage (2022) Vol. 58, pp. 106295-106295
Open Access | Times Cited: 51
State-of-health rapid estimation for lithium-ion battery based on an interpretable stacking ensemble model with short-term voltage profiles
Guanzheng Li, Bin Li, Chao Li, et al.
Energy (2022) Vol. 263, pp. 126064-126064
Closed Access | Times Cited: 44
Data-driven state of health estimation in retired battery based on low and medium-frequency electrochemical impedance spectroscopy
Wencan Zhang, Taotao Li, Weixiong Wu, et al.
Measurement (2023) Vol. 211, pp. 112597-112597
Closed Access | Times Cited: 34
A new method for determining SOH of lithium batteries using the real-part ratio of EIS specific frequency impedance
Zheyuan Pang, Kun Yang, Zhengxiang Song, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108693-108693
Closed Access | Times Cited: 27
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
High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model
Renjun Feng, Shunli Wang, Chunmei Yu, et al.
Journal of Energy Storage (2024) Vol. 90, pp. 111834-111834
Closed Access | Times Cited: 13
Capacity estimation of lithium-ion batteries with uncertainty quantification based on temporal convolutional network and Gaussian process regression
R. Zhang, Chunhui Ji, Xing Zhou, et al.
Energy (2024) Vol. 297, pp. 131154-131154
Closed Access | Times Cited: 11
Artificial intelligence-driven real-world battery diagnostics
Jingyuan Zhao, Xudong Qu, Yuyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100419-100419
Open Access | Times Cited: 11
Comprehensive Review of Machine Learning, Deep Learning, and Digital Twin Data-Driven Approaches in Battery Health Prediction of Electric Vehicles
A. Pravin Renold, Neeraj Singh Kathayat
IEEE Access (2024) Vol. 12, pp. 43984-43999
Open Access | Times Cited: 10
Lithium-ion battery recycling—a review of the material supply and policy infrastructure
P. M. Tembo, C. Dyer, Vaidyanathan Subramanian
NPG Asia Materials (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 10
Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm
Hongyu Chen, Qiping Geoffrey Shen, Mirosław J. Skibniewski, et al.
Information Fusion (2024), pp. 102705-102705
Closed Access | Times Cited: 9
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
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