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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:

An estimation model for state of health of lithium-ion batteries using energy-based features
Li Cai, Jingdong Lin, Xiaoyong Liao
Journal of Energy Storage (2021) Vol. 46, pp. 103846-103846
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

State of health estimation of lithium-ion battery with improved radial basis function neural network
Ji Wu, Leichao Fang, Guangzhong Dong, et al.
Energy (2022) Vol. 262, pp. 125380-125380
Closed Access | Times Cited: 84
State of health estimation of lithium-ion batteries based on multi-health features extraction and improved long short-term memory neural network
Simin Peng, Yunxiang Sun, Dandan Liu, et al.
Energy (2023) Vol. 282, pp. 128956-128956
Closed Access | Times Cited: 79
State of health estimation for lithium-ion battery based on energy features
Dongliang Gong, Ying Gao, Yalin Kou, et al.
Energy (2022) Vol. 257, pp. 124812-124812
Closed Access | Times Cited: 74
Bridging Multiscale Characterization Technologies and Digital Modeling to Evaluate Lithium Battery Full Lifecycle
Xinhua Liu, Lisheng Zhang, Hanqing Yu, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 33
Closed Access | Times Cited: 70
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: 53
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: 49
Improved LSTM based state of health estimation using random segments of the charging curves for lithium-ion batteries
Liang Zhang, Junyu Zhang, Tian Gao, et al.
Journal of Energy Storage (2023) Vol. 74, pp. 109370-109370
Open Access | Times Cited: 43
Big data-driven prognostics and health management of lithium-ion batteries:A review
Kui Chen, Yang Luo, Zhou Long, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115522-115522
Closed Access | Times Cited: 3
State-of-health rapid estimation for lithium-ion battery based on an interpretable stacking ensemble model with short-term voltage profiles
Guanzheng Li, Bin Li, Chao Li, et al.
Energy (2022) Vol. 263, pp. 126064-126064
Closed Access | Times Cited: 46
A novel state of health estimation method for lithium-ion batteries based on constant-voltage charging partial data and convolutional neural network
Sizhe Chen, Zikang Liang, Haoliang Yuan, et al.
Energy (2023) Vol. 283, pp. 129103-129103
Closed Access | Times Cited: 30
Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries
Seyed Saeed Madani, Carlos Ziebert, Parisa Vahdatkhah, et al.
Batteries (2024) Vol. 10, Iss. 6, pp. 204-204
Open Access | Times Cited: 9
State of health estimation of lithium-ion battery by removing model redundancy through aging mechanism
Xufan Zhu, Wei Wang, Guoping Zou, et al.
Journal of Energy Storage (2022) Vol. 52, pp. 105018-105018
Closed Access | Times Cited: 31
State-of-health estimation of lithium-ion batteries using a novel dual-stage attention mechanism based recurrent neural network
Jiangnan Hong, Yu‐Cheng Chen, Qinqin Chai, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 109297-109297
Closed Access | Times Cited: 22
State of Health Assessment for Lithium-Ion Batteries Using Incremental Energy Analysis and Bidirectional Long Short-Term Memory
Yanmei Li, Laijin Luo, Chaolong Zhang, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 7, pp. 188-188
Open Access | Times Cited: 21
State of health estimation of lithium-ion battery during fast charging process based on BiLSTM-Transformer
Ziyang Li, Xiangwen Zhang, Wei Gao
Energy (2024) Vol. 311, pp. 133418-133418
Closed Access | Times Cited: 6
State of health estimation of lithium-ion battery using energy accumulation-based feature extraction and improved relevance vector regression
Cheng Qian, Ning He, Lile He, et al.
Journal of Energy Storage (2023) Vol. 68, pp. 107754-107754
Closed Access | Times Cited: 16
Lithium-Ion Battery State of Health Prediction With a Robust Collaborative Augmented Hidden Layer Feedforward Neural Network Approach
Tarek Berghout, Mohamed Benbouzid, Yassine Amirat, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 9, Iss. 3, pp. 4492-4502
Closed Access | Times Cited: 14
Model-data fusion domain adaptation for battery State of Health estimation with fewer data and simplified feature extractor
Rui Wang, Chunyue Song, Mingxia Gao, et al.
Journal of Energy Storage (2023) Vol. 60, pp. 106686-106686
Closed Access | Times Cited: 14
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: 14
Data-driven battery state-of-health estimation and prediction using IC based features and coupled model
Litao Zhou, Zhaosheng Zhang, Peng Liu, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108413-108413
Closed Access | Times Cited: 13
Online estimation of lithium-ion battery health status based on transfer learning and deep neural network
Yan Qiu Chen, Yuwei Tang, Lin Jian, et al.
International Journal of Green Energy (2025), pp. 1-14
Closed Access
Lithium-ion battery health state estimation based on improved snow ablation optimization algorithm-deep hybrid kernel extreme learning machine
Yonggang Wang, Yadong Yu, Y. Ma, et al.
Energy (2025), pp. 135772-135772
Closed Access
SOH Estimation Model Based on an Ensemble Hierarchical Extreme Learning Machine
Yu He, Norasage Pattanadech, Kasian Sukemoke, et al.
Electronics (2025) Vol. 14, Iss. 9, pp. 1832-1832
Open Access
Li-ion battery state-of-health estimation based on the combination of statistical and geometric features of the constant-voltage charging stage
Sizhe Chen, Zikang Liang, Haoliang Yuan, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108647-108647
Closed Access | Times Cited: 10
Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery
Nan Qi, Kang Yan, Yajuan Yu, et al.
Frontiers in Energy (2023) Vol. 18, Iss. 2, pp. 223-240
Closed Access | Times Cited: 10
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