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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:

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

Showing 1-25 of 52 citing articles:

SOH estimation for lithium-ion batteries: An improved GPR optimization method based on the developed feature extraction
Ye He, Wenyuan Bai, Lulu Wang, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110678-110678
Closed Access | Times Cited: 37
Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics
Solmaz Nazaralizadeh, P. Banerjee, Anurag K. Srivastava, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1250-1250
Open Access | Times Cited: 23
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: 14
Progress in estimating the state of health using transfer learning–based electrochemical impedance spectroscopy of lithium-ion batteries
Guangheng Qi, Guangwen Du, Kai Wang
Ionics (2025) Vol. 31, Iss. 3, pp. 2337-2349
Closed Access | Times Cited: 1
Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks
Huixing Meng, Mengqian Hu, Zihan Kong, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110294-110294
Closed Access | Times Cited: 13
Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm
Yifei Zhou, Shunli Wang, Yanxing Xie, et al.
Energy (2024) Vol. 300, pp. 131575-131575
Closed Access | Times Cited: 12
Driving behavior-guided battery health monitoring for electric vehicles using extreme learning machine
Nanhua Jiang, Jiawei Zhang, Weiran Jiang, et al.
Applied Energy (2024) Vol. 364, pp. 123122-123122
Closed Access | Times Cited: 6
Employee energy-saving behaviors: Review of theories, influencing factors, and interventions
Yixiang Zhang, Bowen Fu, Sholeh A. Maani, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 203, pp. 114766-114766
Closed Access | Times Cited: 5
Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends
Zhiqiang Lyu, Longxing Wu, Mohan Lyu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113827-113827
Closed Access | Times Cited: 5
Methods for state of health estimation for lithium-ion batteries: An essential review
Houda Rhdifa, Abderazzak Ammar, Omar Bouattane
E3S Web of Conferences (2025) Vol. 601, pp. 00071-00071
Open Access
An estimation framework for battery pack state of health based on real vehicle charging and discharging features
Zhigang He, Xingyu Ji, Ding Hua, et al.
Journal of Power Sources (2025) Vol. 631, pp. 236235-236235
Closed Access
Advances in water splitting and lithium-ion batteries: pioneering sustainable energy storage and conversion technologies
Syed Hashmi, Shah Noor, Warda Parveen
Frontiers in Energy Research (2025) Vol. 12
Open Access
Safety and reliability analysis of lithium-ion batteries with real-time health monitoring
Ayesha Khan, Ijaz Haider Naqvi, Cherry Bhargava, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115408-115408
Closed Access
Improve immersion cooling of cylindrical batteries in channel flows using the Tesla valve principle
Jiedong Ye, Jianxun Huang, Yakang Xia, et al.
Journal of Energy Storage (2025) Vol. 112, pp. 115546-115546
Closed Access
Fine-tuning enables state of health estimation in lithium-ion batteries via time series foundation model
Wenjie Sun, Chengke Wu, Chengde Xie, et al.
Energy (2025), pp. 134177-134177
Closed Access
A physics-enhanced online joint estimation method for SOH and SOC of lithium-ion batteries in eVTOL aircraft applications
Fusheng Jiang, Yi Ren, Ting Tang, et al.
Journal of Energy Storage (2025) Vol. 112, pp. 115567-115567
Closed Access
Nickel-based cathode in the rechargeable aqueous zinc ion batteries
Lin Chen, Tiancheng Tu, Longyan Li
Progress in Natural Science Materials International (2025)
Closed Access
Capacity estimation of retired lithium-ion batteries using random charging segments from massive real-world data
Pengfei Zhou, Junli Liang, Yunlong Liu, et al.
Cell Reports Physical Science (2025), pp. 102444-102444
Open Access
A lightweight two-stage physics-informed neural network for SOH estimation of lithium-ion batteries with different chemistries
Chunsong Lin, Longxing Wu, Xianguo Tuo, et al.
Journal of Energy Chemistry (2025)
Closed Access
Joint SOH and RUL estimation for lithium-ion batteries via optimal deep belief network with Bayesian algorithm
Ruyi Zheng, Bo Yang, Yucun Qian, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115891-115891
Closed Access
State of health prediction for Lithium-Ion batteries using extended long Short-Term memory network and frequency enhanced channel attention mechanism with Variational mode Decomposition
Nan Xiang, Tianyu Zhang, Yu Liu
Measurement (2025), pp. 117084-117084
Closed Access
Research on the joint estimation method of charge state and health state of power lithium battery
Zhifu Wang, Shunshun Zhang, Wei Luo, et al.
Ionics (2025)
Closed 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
Machine learning configurations for state of charge predictions of Li-ion batteries
Mitchell Rae, M. Ottaviani, Dominika Capková, et al.
Monatshefte für Chemie - Chemical Monthly (2025)
Open Access
A review of state-of-health estimation for lithium-ion battery packs
Qingwei Li, Ren‐Jie Song, Yongqiang Wei
Journal of Energy Storage (2025) Vol. 118, pp. 116078-116078
Closed Access
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