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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:

Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries
Fujin Wang, Zhi Zhai, Bingchen Liu, et al.
Journal of Energy Storage (2023) Vol. 77, pp. 109884-109884
Closed Access | Times Cited: 23

Showing 23 citing articles:

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
A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems
Junjie Tao, Shunli Wang, Wen Cao, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 5903-5927
Closed Access | Times Cited: 5
Ultrasonic enhanced hierarchical deep learning framework for advanced LiFePO4 battery multi-state joint estimation
Maoshu Xu, Yi Shen, Qionglin Shi, et al.
eTransportation (2025), pp. 100397-100397
Closed Access
A Dual Dimensionality Reduction and Feature Weighting Integration Transfer Learning Method for Lithium-Ion Battery State of Health Estimation
Hongfei Guo, Longbiao Yu, Yaping Ren, et al.
(2025)
Closed Access
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
A Hybrid Data-driven Granular Model for Battery Remaining Useful Life Prediction
TaiLong Jing, Sheng Du, Cong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-12
Closed Access
Battery intelligent temperature warning model with physically-informed attention residual networks
Ke Xue, Lei Wang, Jun Wang, et al.
Applied Energy (2025) Vol. 388, pp. 125627-125627
Closed Access
Multi-time scale feature extraction for early prediction of battery RUL and knee point using a hybrid deep learning approach
Qiuning Yu, Fujin Wang, Zhi Zhai, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116024-116024
Closed Access
State of charge estimation for lithium-ion batteries based on a digital twin hybrid model
Chao Ji, Guang Jin, Ran Zhang
Energy Reports (2025) Vol. 13, pp. 2174-2185
Closed Access
Ultra-early prediction of lithium-ion battery cycle life based on assembled capacity curve extracted from a single cycle
Wenjin Yang, Hengzhao Yang
Journal of Power Sources (2025) Vol. 640, pp. 236620-236620
Closed Access
State of health estimation of lithium-ion batteries based on data-driven methods with a selected charging voltage interval
Ji‐Qiu Sun, Xiaodong Zhang, Wenfeng Cao, et al.
AIMS energy (2025) Vol. 13, Iss. 2, pp. 290-308
Open Access
Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data
Fujin Wang, Ziqian Wu, Zhibin Zhao, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110325-110325
Closed Access | Times Cited: 3
Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries
Slimane Arbaoui, Ahmed Samet, Ali Ayadi, et al.
Energy and AI (2024) Vol. 17, pp. 100413-100413
Open Access | Times Cited: 2
State of Health Estimations for Lithium-Ion Batteries Based on MSCNN
J. L. Wang, Hao Li, Chunling Wu, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4220-4220
Open Access | Times Cited: 2
Remaining useful life prediction of lithium-ion batteries based on autoregression with exogenous variables model
Zhelin Huang, Zhihua Ma
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110485-110485
Closed Access | Times Cited: 2
Lithium-ion battery remaining useful life prediction based on interpretable deep learning and network parameter optimization
Bo Zhao, Weige Zhang, Yanru Zhang, et al.
Applied Energy (2024) Vol. 379, pp. 124713-124713
Closed Access | Times Cited: 2
A battery SOH estimation method based on entropy domain features and semi-supervised learning under limited sample conditions
Yaming Liu, Jiaxin Ding, Yingjie Cai, et al.
Journal of Energy Storage (2024) Vol. 106, pp. 114822-114822
Closed Access | Times Cited: 2
Integrated Mixed Attention U-Net Mechanisms with Multi-Stage Division Strategy Customized for Accurate Estimation of Lithium-Ion Battery State of Health
Xinyu Fan, Xuxu Yang, Feifei Hou
Electronics (2024) Vol. 13, Iss. 16, pp. 3244-3244
Open Access | Times Cited: 1
State-of-health estimation for lithium-ion batteries using relaxation voltage under dynamic conditions
Ke Xue, Huawei Hong, Peng Zheng, et al.
Journal of Energy Storage (2024) Vol. 100, pp. 113506-113506
Closed Access | Times Cited: 1
AM-MFF: A multi-feature fusion framework based on attention mechanism for robust and interpretable lithium-ion battery state of health estimation
Sizhe Chen, Jing Liu, Haoliang Yuan, et al.
Applied Energy (2024) Vol. 381, pp. 125116-125116
Closed Access | Times Cited: 1
State-of-health estimation of lithium-ion batteries using a kernel support vector machine tuned by a new nonlinear gray wolf algorithm
Shiyu Liu, Lide Fang, Xiaoyu Zhao, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114052-114052
Closed Access
Research on SOH Estimation Method of Lithium-ion Battery based on Fusion of VMD and SVR
Hao Li, J. L. Wang, Yujun Shi, et al.
(2024), pp. 189-194
Closed Access
Exploration of Imbalanced Regression in state-of-health estimation of Lithium-ion batteries
Zhibin Zhao, Bingchen Liu, Fujin Wang, et al.
Journal of Energy Storage (2024) Vol. 105, pp. 114542-114542
Closed Access
A Lithium-Ion Battery Health State Assessment Based on Bi-LSTM-Transformer Algorithm
Chong Li, Hui Dai, Jiaolong Ye, et al.
Communications in computer and information science (2024), pp. 279-288
Closed Access
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