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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 novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model
Xinyu Gu, Khay Wai See, Penghua Li, et al.
Energy (2022) Vol. 262, pp. 125501-125501
Closed Access | Times Cited: 136

Showing 1-25 of 136 citing articles:

Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis
Huixing Meng, Mengyao Geng, Te Han
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109288-109288
Closed Access | Times Cited: 130
An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries
Huanwei Xu, Lingfeng Wu, Shizhe Xiong, et al.
Energy (2023) Vol. 276, pp. 127585-127585
Closed Access | Times Cited: 128
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network
Jingyi Gao, Dongfang Yang, Shi Wang, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109248-109248
Closed Access | Times Cited: 82
Battery prognostics and health management from a machine learning perspective
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Journal of Power Sources (2023) Vol. 581, pp. 233474-233474
Closed Access | Times Cited: 61
State of health estimation of lithium-ion batteries based on modified flower pollination algorithm-temporal convolutional network
Hao Zhang, Jingyi Gao, Le Kang, et al.
Energy (2023) Vol. 283, pp. 128742-128742
Closed Access | Times Cited: 50
State of health prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer
Chenyu Jia, Yukai Tian, Yuanhao Shi, et al.
Energy (2023) Vol. 285, pp. 129401-129401
Closed Access | Times Cited: 41
AttMoE: Attention with Mixture of Experts for remaining useful life prediction of lithium-ion batteries
Daoquan Chen, Xiuze Zhou
Journal of Energy Storage (2024) Vol. 84, pp. 110780-110780
Closed Access | Times Cited: 17
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
Deep learning and polarisation equilibrium based state of health estimation for lithium-ion battery using partial charging data
Tong Wang, Yan Wu, Keming Zhu, et al.
Energy (2025), pp. 134564-134564
Closed Access | Times Cited: 3
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
A Review of Lithium-Ion Battery Capacity Estimation Methods for Onboard Battery Management Systems: Recent Progress and Perspectives
Jichang Peng, Jinhao Meng, Dan Chen, et al.
Batteries (2022) Vol. 8, Iss. 11, pp. 229-229
Open Access | Times Cited: 39
Advancements in Artificial Neural Networks for health management of energy storage lithium-ion batteries: A comprehensive review
Yuntao Zou, Zihui Lin, Dagang Li, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109069-109069
Closed Access | Times Cited: 37
A Convolutional Neural Network for Estimation of Lithium-Ion Battery State-of-Health during Constant Current Operation
Junran Chen, Manjula Manivanan, Josimar Duque, et al.
(2023)
Closed Access | Times Cited: 33
Battery State of Health Estimate Strategies: From Data Analysis to End-Cloud Collaborative Framework
Kaiyi Yang, Lisheng Zhang, Zhengjie Zhang, et al.
Batteries (2023) Vol. 9, Iss. 7, pp. 351-351
Open Access | Times Cited: 28
A time-series Wasserstein GAN method for state-of-charge estimation of lithium-ion batteries
Xinyu Gu, Khay Wai See, Yanbin Liu, et al.
Journal of Power Sources (2023) Vol. 581, pp. 233472-233472
Open Access | Times Cited: 25
Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle
Mohd Herwan Sulaiman, Zuriani Mustaffa, Nor Farizan Zakaria, et al.
Energy (2023) Vol. 279, pp. 128094-128094
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: 23
State of Health estimation method for lithium batteries based on electrochemical impedance spectroscopy and pseudo-image feature extraction
Fang Guo, Guangshan Huang, Wencan Zhang, et al.
Measurement (2023) Vol. 220, pp. 113412-113412
Closed Access | Times Cited: 22
Battery State-of-Health Estimation: A Step towards Battery Digital Twins
Vahid Safavi, Najmeh Bazmohammadi, Juan C. Vásquez, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 587-587
Open Access | Times Cited: 14
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer
Wentao Wang, Kaiyi Yang, Lisheng Zhang, et al.
Journal of Power Sources (2024) Vol. 608, pp. 234669-234669
Closed Access | Times Cited: 12
Capacity estimation of lithium-ion batteries with uncertainty quantification based on temporal convolutional network and Gaussian process regression
R. Zhang, Chunhui Ji, Xing Zhou, et al.
Energy (2024) Vol. 297, pp. 131154-131154
Closed Access | Times Cited: 11
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
Specialized Convolutional Transformer Networks for Estimating Battery Health via Transfer Learning
Jingyuan Zhao, Zhenghong Wang
Energy storage materials (2024) Vol. 71, pp. 103668-103668
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
Progress in the prognosis of battery degradation and estimation of battery states
Jun Yuan, Zhili Qin, Haikun Huang, et al.
Science China Materials (2024) Vol. 67, Iss. 4, pp. 1014-1041
Open Access | Times Cited: 8
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