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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:

Integrating mechanism and machine learning based capacity estimation for LiFePO4 batteries under slight overcharge cycling
Meng Wei, Min Ye, Chuanwei Zhang, et al.
Energy (2024) Vol. 296, pp. 131208-131208
Closed Access | Times Cited: 18

Showing 18 citing articles:

A review on health estimation techniques of end-of-first-use lithium-ion batteries for supporting circular battery production
Liang Cong, Wanhua Wang, Yue Wang
Journal of Energy Storage (2024) Vol. 94, pp. 112406-112406
Closed Access | Times Cited: 8
Capacity estimation of lithium-ion batteries based on segment IC curve data dimensionality reduction and reconstruction methods
Jianping Wen, Chenze Wang, Zhuang Zhao, et al.
Ionics (2025) Vol. 31, Iss. 3, pp. 2457-2471
Closed Access
A novel in situ detection method for lithium plating thickness in pouch cell
Xiaoji Shang, Han‐Chieh Wu, Zhizhen Zhang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
A semi-supervised learning strategy for lithium-ion battery capacity estimation with limited impedance data
Yan Li, Zi He, Min Ye, et al.
Energy (2025), pp. 135129-135129
Closed Access
Data-Optimization Based SOC-SOH Estimation for Lithium-Ion Batteries with Current Bias Compensation
Min Ye, Gaoqi Lian, Wei Li, et al.
Energy (2025), pp. 135490-135490
Closed Access
Transfer Learning‐Based Data‐Fusion Model Framework for State of Health Estimation of Power Battery Packs
Zhiqiang Lyu, Xinyuan Wei, Longxing Wu, et al.
Battery energy (2025)
Open Access
Battery SOC estimation with physics-constrained BiLSTM under different external pressures and temperatures
Longxing Wu, Xinyuan Wei, Chunsong Lin, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116205-116205
Closed Access
Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review
Sijing Wang, Ruoyu Zhou, Yijia Ren, et al.
Green Chemical Engineering (2024)
Open Access | Times Cited: 4
Joint prediction of state of health and remaining useful life for lithium-ion batteries based on health features optimization and multi-model fusion
Zheng Di, Shuo Man, Xifeng Guo, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 6239-6252
Closed Access | Times Cited: 3
Capacity estimation of lithium-ion battery through interpretation of electrochemical impedance spectroscopy combined with machine learning
Yan Li, Min Ye, Qiao Wang, et al.
Measurement (2024), pp. 116374-116374
Closed Access | Times Cited: 2
Utilizing multilayer perceptron for machine learning diagnosis in phase change material‐based thermal management systems
Abdul Wahab Arif, Vallapureddy Siva Nagi Reddy, K. Srividya, et al.
Heat Transfer (2024) Vol. 53, Iss. 8, pp. 4922-4947
Open Access | Times Cited: 1
Integrating machine learning for health prediction and control in over-discharged Li-NMC battery systems
G. Naresh, T. Praveenkumar
Ionics (2024)
Closed Access | Times Cited: 1
Remaining useful life prediction of lithium-ion batteries based on performance degradation mechanism analysis and improved Deep Extreme Learning Machine model
Renjun Feng, Shunli Wang, Chunmei Yu, et al.
Ionics (2024) Vol. 30, Iss. 9, pp. 5449-5471
Closed Access
A robust modified adaptive extended Kalman filter for state- of-charge estimation of rechargeable battery under dynamic operating condition
Satyaprakash Rout, Satyajit Das
Electrical Engineering (2024)
Closed Access
A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering
X. X. Shen, Shunli Wang, Chunmei Yu, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 6197-6213
Closed Access
State of charge estimation for lithium-ion batteries based on gate recurrent unit and unscented Kalman filtering
Chuanwei Zhang, Ting Wang, Meng Wei, et al.
Ionics (2024)
Closed Access
Robustness estimation for state-of-charge of a lithium-ion battery based on feature fusion
Baozhou Xia, Min Ye, Qiao Wang, et al.
Energy Reports (2024) Vol. 12, pp. 4016-4025
Open Access
A progressive learning residuals based on multivariate Mamba and adaptive singular value decomposition method for remaining useful life prediction of lithium-ion batteries
Hai‐Kun Wang, X. C. Dai, Lang Cui, et al.
Ionics (2024)
Closed Access
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