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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:

A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability
Gyumin Lee, Daeil Kwon, Chang‐Yong Lee
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110004-110004
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation
Dongqing Wang, Yan Yang, Tianyu Gu
Journal of Energy Storage (2023) Vol. 62, pp. 106831-106831
Closed Access | Times Cited: 74
Specialized deep neural networks for battery health prognostics: Opportunities and challenges
Jingyuan Zhao, Xuebing Han, Minggao Ouyang, et al.
Journal of Energy Chemistry (2023) Vol. 87, pp. 416-438
Closed Access | Times Cited: 59
A new SOH estimation method for Lithium-ion batteries based on model-data-fusion
Liping Chen, Siqiang Xie, António M. Lopes, et al.
Energy (2023) Vol. 286, pp. 129597-129597
Closed Access | Times Cited: 44
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: 41
State of Health estimation for lithium-ion batteries using Random Forest and Gated Recurrent Unit
Xiaojuan Wang, Bing Hu, Xin Su, et al.
Journal of Energy Storage (2023) Vol. 76, pp. 109796-109796
Closed Access | Times Cited: 41
Insights and reviews on battery lifetime prediction from research to practice
Xudong Qu, Dapai Shi, Jingyuan Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 716-739
Closed Access | Times Cited: 27
Advances in battery state estimation of battery management system in electric vehicles
Ming Jiang, Dongjiang Li, Zonghua Li, et al.
Journal of Power Sources (2024) Vol. 612, pp. 234781-234781
Closed Access | Times Cited: 16
Frequency reconstruction oriented EMD-LSTM-AM based surface temperature prediction for lithium-ion battery
Xiao Qi, Chaofeng Hong, Ye Tao, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 111001-111001
Closed Access | Times Cited: 15
Accurate state of health estimation for lithium-ion batteries under random charging scenarios
Jiangwei Shen, Wensai Ma, Xing Shu, et al.
Energy (2023) Vol. 279, pp. 128092-128092
Closed Access | Times Cited: 24
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: 24
State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network
Yupeng Wei, Dazhong Wu
Expert Systems with Applications (2023) Vol. 238, pp. 122041-122041
Open Access | Times Cited: 22
Recurrent Neural Networks for Estimating the State of Health of Lithium-Ion Batteries
RAFAEL SAADI DANTAS TEIXEIRA, Rodrigo Flora Calili, Maria Fatima Ludovico de Almeida, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 111-111
Open Access | Times Cited: 10
Lithium-ion battery state of health prognostication employing multi-model fusion approach based on image coding of charging voltage and temperature data
Wencan Zhang, Hancheng He, Taotao Li, et al.
Energy (2024) Vol. 296, pp. 131095-131095
Closed Access | Times Cited: 10
Deep machine learning approaches for battery health monitoring
Sanjeev Kumar Singh, P. R. Budarapu
Energy (2024) Vol. 300, pp. 131540-131540
Closed Access | Times Cited: 10
Big field data-driven battery pack health estimation for electric vehicles: A deep-fusion transfer learning approach
Hongao Liu, Zhongwei Deng, Yunhong Che, et al.
Mechanical Systems and Signal Processing (2024) Vol. 218, pp. 111585-111585
Closed Access | Times Cited: 10
A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal images
Nian Cai, Xiaoping Que, Xu Zhang, et al.
Energy (2024) Vol. 302, pp. 131700-131700
Closed Access | Times Cited: 9
Toward advanced estimation of state of health for integral lithium-ion battery pack
Jincheng Hu, Pengyu Fu, Xiao Hu, et al.
Cell Reports Physical Science (2025), pp. 102363-102363
Closed Access | Times Cited: 1
Enhanced strain assistance for SOC estimation of lithium-ion batteries using FBG sensors
Wenjuan Sheng, Junkai Wang, Gang‐Ding Peng
Applied Energy (2025) Vol. 383, pp. 125385-125385
Closed Access | Times Cited: 1
Multi-modal framework for battery state of health evaluation using open-source electric vehicle data
Hongao Liu, Chang Li, Xiaosong Hu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
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
State-of-Health Prediction of Lithium-Ion Batteries Using Feature Fusion and a Hybrid Neural Network Model
Yang Li, Guoqiang Gao, Kui Chen, et al.
Energy (2025), pp. 135163-135163
Closed Access | Times Cited: 1
Advancing Lithium-Ion Battery Health Prognostics With Deep Learning: A Review and Case Study
Mohamed Massaoudi, Haitham Abu‐Rub, Ali Ghrayeb
IEEE Open Journal of Industry Applications (2024) Vol. 5, pp. 43-62
Open Access | Times Cited: 7
Interpretable machine learning prediction for li-ion battery's state of health based on electrochemical impedance spectroscopy and temporal features
Minghan Bao, D Liu, Yuyao Wu, et al.
Electrochimica Acta (2024) Vol. 494, pp. 144449-144449
Closed Access | Times Cited: 6
Improved multi-scale cosine control whale optimization–error feedforward double Kalman filtering for the online state of charge and state of health co-estimation of lithium-ion batteries
Junjie Tao, Shunli Wang, Wen Cao, et al.
Ionics (2024) Vol. 30, Iss. 4, pp. 2039-2053
Closed Access | Times Cited: 5
Data-driven degradation trajectory prediction and online knee point identification of battery in electric vehicles
Kailing Li, Naiming Xie, Ou Tang
Engineering Failure Analysis (2024) Vol. 159, pp. 108154-108154
Closed Access | Times Cited: 5
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