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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:

Battery impedance spectrum prediction from partial charging voltage curve by machine learning
Jia Guo, Yunhong Che, Kjeld Pedersen, et al.
Journal of Energy Chemistry (2023) Vol. 79, pp. 211-221
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Rapid health estimation of in-service battery packs based on limited labels and domain adaptation
Zhongwei Deng, Le Xu, Hongao Liu, et al.
Journal of Energy Chemistry (2023) Vol. 89, pp. 345-354
Closed Access | Times Cited: 41
Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection
Yunhong Che, Yusheng Zheng, Florent Forest, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109603-109603
Open Access | Times Cited: 40
Challenges and opportunities toward long-life lithium-ion batteries
Xiaodong Xu, Xuebing Han, Languang Lu, et al.
Journal of Power Sources (2024) Vol. 603, pp. 234445-234445
Closed Access | Times Cited: 34
Boosting battery state of health estimation based on self-supervised learning
Yunhong Che, Yusheng Zheng, Xin Sui, et al.
Journal of Energy Chemistry (2023) Vol. 84, pp. 335-346
Open Access | Times Cited: 31
A self‐adaptive, data‐driven method to predict the cycling life of lithium‐ion batteries
Chao Han, Yuchen Gao, Xiang Chen, et al.
InfoMat (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 13
Exploring impedance spectrum for lithium-ion batteries diagnosis and prognosis: A comprehensive review
Xinghao Du, Jinhao Meng, Yassine Amirat, et al.
Journal of Energy Chemistry (2024) Vol. 95, pp. 464-483
Open Access | Times Cited: 13
Advancing State of Charge Management in Electric Vehicles With Machine Learning: A Technological Review
Arash Mousaei, Yahya Naderi, I. Safak Bayram
IEEE Access (2024) Vol. 12, pp. 43255-43283
Open Access | Times Cited: 8
Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation
Tong Yu, Chunyang Wang, Huicong Yang, et al.
Journal of Energy Chemistry (2023) Vol. 90, pp. 191-204
Closed Access | Times Cited: 20
Fast EIS acquisition method based on SSA-DNN prediction model
Chun Chang, Yaliang Pan, Shaojin Wang, et al.
Energy (2023) Vol. 288, pp. 129768-129768
Closed Access | Times Cited: 17
Simultaneous prediction of impedance spectra and state for lithium-ion batteries from short-term pulses
Jinpeng Tian, Rui Xiong, Cheng Chen, et al.
Electrochimica Acta (2023) Vol. 449, pp. 142218-142218
Closed Access | Times Cited: 16
Using tens of seconds of relaxation voltage to estimate open circuit voltage and state of health of lithium ion batteries
Chi-Jyun Ko, Kuo-Ching Chen
Applied Energy (2023) Vol. 357, pp. 122488-122488
Closed Access | Times Cited: 16
Unraveling the Degradation Mechanisms of Lithium-Ion Batteries
Carlos Antônio Rufino Júnior, Eleonora Riva Sanseverino, Pierluigi Gallo, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3372-3372
Open Access | Times Cited: 5
Revealing the low-temperature aging mechanisms of the whole life cycle for lithium-ion batteries (nickel-cobalt-aluminum vs. graphite)
Ranjun Huang, Gang Wei, Xueyuan Wang, et al.
Journal of Energy Chemistry (2025)
Closed Access
Differential current in constant-voltage charging mode: A novel tool for state-of-health and state-of-charge estimation of lithium-ion batteries
Chi-Jyun Ko, Kuo-Ching Chen, Ting-Wei Su
Energy (2023) Vol. 288, pp. 129826-129826
Closed Access | Times Cited: 13
Feature selection strategy optimization for lithium-ion battery state of health estimation under impedance uncertainties
Xinghao Du, Jinhao Meng, Yassine Amirat, et al.
Journal of Energy Chemistry (2024) Vol. 101, pp. 87-98
Open Access | Times Cited: 4
Thermal stability of ionic liquids for lithium-ion batteries: A review
HU Xiao-kang, Yu Wang, Xuning Feng, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 207, pp. 114949-114949
Closed Access | Times Cited: 4
Utilizing Machine Learning to Advance Battery Materials Design: Challenges and Prospects
Souvik Manna, Poulami Paul, Surya Sekhar Manna, et al.
Chemistry of Materials (2025)
Closed Access
Advantageous characteristics of constant voltage charging: A good option to estimate battery states for lithium-ion batteries
Chi-Jyun Ko, Kuo-Ching Chen, Chih‐Hung Chen
Energy (2025), pp. 135717-135717
Closed Access
Online multi-scenario impedance spectra generation for batteries based on small-sample learning
Jiajun Zhu, Xin Lai, Xiaopeng Tang, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 8, pp. 102134-102134
Open Access | Times Cited: 3
Deep neural network based battery impedance spectrum prediction using only impedance at characteristic frequencies
Yue Sun, Rui Xiong, Chenxu Wang, et al.
Journal of Power Sources (2023) Vol. 580, pp. 233414-233414
Closed Access | Times Cited: 9
Health estimation of lithium-ion batteries with voltage reconstruction and fusion model
Xinghua Liu, Siqi Li, Jiaqiang Tian, et al.
Energy (2023) Vol. 282, pp. 128216-128216
Closed Access | Times Cited: 8
Constructing battery impedance spectroscopy using partial current in constant-voltage charging or partial relaxation voltage
Chi-Jyun Ko, Kuo-Ching Chen
Applied Energy (2023) Vol. 356, pp. 122454-122454
Closed Access | Times Cited: 7
Battery state of health estimation across electrochemistry and working conditions based on domain adaptation
Chenghao Liu, Zhongwei Deng, Xiaohong Zhang, et al.
Energy (2024) Vol. 297, pp. 131294-131294
Closed Access | Times Cited: 2
Multi-stage deep sorting strategy for retired batteries based on the clustering of static and dynamic features
Rui Pan, Xiangyu Xiao, Jiazhi Fan, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113387-113387
Closed Access | Times Cited: 2
Electrochemical impedance spectroscopy analysis to accelerate electrocatalytic system innovation
Hanbing Zhu, Yinghuan Liu, Wenxin Guo, et al.
Science China Chemistry (2024)
Closed Access | Times Cited: 2
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