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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:

State of Health Assessment of Lithium-ion Batteries Based on Deep Gaussian Process Regression Considering Heterogeneous Features
Yalong Yang, Siyuan Chen, Tao Chen, et al.
Journal of Energy Storage (2023) Vol. 61, pp. 106797-106797
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

State of health estimation method for lithium-ion batteries based on multiple dynamic operating conditions
Quanqing Yu, Yuwei Nie, Shizhuo Liu, et al.
Journal of Power Sources (2023) Vol. 582, pp. 233541-233541
Closed Access | Times Cited: 70
Accurate Prediction Approach of SOH for Lithium-Ion Batteries Based on LSTM Method
Lijun Zhang, Tuo Ji, Shihao Yu, et al.
Batteries (2023) Vol. 9, Iss. 3, pp. 177-177
Open Access | Times Cited: 43
Lithium-ion battery SOH prediction based on VMD-PE and improved DBO optimized temporal convolutional network model
Juncheng Fu, Chunling Wu, Jiwei Wang, et al.
Journal of Energy Storage (2024) Vol. 87, pp. 111392-111392
Closed Access | Times Cited: 23
High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model
Renjun Feng, Shunli Wang, Chunmei Yu, et al.
Journal of Energy Storage (2024) Vol. 90, pp. 111834-111834
Closed Access | Times Cited: 18
Online two-dimensional filter for anti-interference aging features extraction to accurately predict the battery health
Fei Xia, Chao Tang, Jiajun Chen
Measurement (2024) Vol. 234, pp. 114758-114758
Closed Access | Times Cited: 10
A decade of machine learning in lithium-ion battery state estimation: a systematic review
Zaina Al-Hashimi, Taha Khamis, Mouaz Al Kouzbary, et al.
Ionics (2025) Vol. 31, Iss. 3, pp. 2351-2377
Closed Access | Times Cited: 1
Joint prediction of the state of health and remaining useful life for lithium-ion batteries based on Wrapper Cascade-Stacking
Shuaijun Ma, Xinxing Hou, Maomao Luo
Journal of Energy Storage (2025) Vol. 112, pp. 115563-115563
Closed Access | Times Cited: 1
A Joint Estimation Method for the SOC and SOH of Lithium-Ion Batteries Based on AR-ECM and Data-Driven Model Fusion
Zhiyuan Wei, Xiaowen Sun, Yiduo Li, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1290-1290
Open Access | Times Cited: 1
Parameter adaptive joint estimation of state of charge and available capacity based on multi-innovation-state estimator fusion
Lin Peng, Shengjie Wang, Peng Jin, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110582-110582
Closed Access | Times Cited: 8
Effect of Aging Path on Degradation Characteristics of Lithium-Ion Batteries in Low-Temperature Environments
Zhizu Zhang, Changwei Ji, Yangyi Liu, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 107-107
Open Access | Times Cited: 8
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: 8
Safety Performance and Failure Criteria of Lithium-Ion Batteries under Mechanical Abuse
Genwei Wang, Xuanfu Guo, Jingyi Chen, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6346-6346
Open Access | Times Cited: 14
Deformation Analysis of Different Lithium Battery Designs Using the DIC Technique
Szabolcs Kocsis Szürke, Mátyás Szabó, Szabolcs Szalai, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 323-323
Open Access | Times Cited: 5
A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries
Nan Hai, Shunli Wang, Donglei Liu, et al.
Journal of Energy Storage (2024) Vol. 88, pp. 111549-111549
Closed Access | Times Cited: 5
State-of-Health Estimation of Lithium-ion Batteries Based on Singular Value Decomposition and an Improved Group Method of Data Handling
Junhong Li, G. Bai, Jun Yan, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 1, pp. 010525-010525
Closed Access | Times Cited: 4
State-of-Health prediction of lithium-ion batteries based on a low dimensional Gaussian Process Regression
Sebastian Pohlmann, Ali Mashayekh, Florian Stroebl, et al.
Journal of Energy Storage (2024) Vol. 88, pp. 111649-111649
Open Access | Times Cited: 4
Joint prediction of state of health and remaining useful life for lithium-ion batteries based on health features optimization and multi-model fusion
Di Zheng, Shuo Man, Xifeng Guo, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 6239-6252
Closed Access | Times Cited: 4
State-of-health estimation of lithium-ion batteries using multiple correlation analysis-based feature screening and optimizing echo state networks with the weighted mean of vectors
Houde Dai, Yuan Lai, Yiyang Huang, et al.
Journal of Power Sources (2024) Vol. 623, pp. 235482-235482
Closed Access | Times Cited: 4
Few-Shot Learning of Initial Coulombic Efficiency Using Adaptive Combination Kernel Deep Gaussian Process Regression
Hai Guo, Hongcheng Zhang, Xiaofeng Lv, et al.
(2025)
Closed Access
A Hybrid Technique for Estimating the State of Health of Lithium‐Ion Batteries
Manjunatha Babu Pattabhi, Ozwin Dominic Dsouza, G. Shilpa
Optimal Control Applications and Methods (2025)
Closed Access
Practical State of Health Prediction for Lithium-Ion Batteries Under Complex Dynamic Discharge Scenarios
Xiaowen Sun, Zhiyuan Wei, Binhui Liu, et al.
(2025)
Closed Access
Accurate and adaptive state of health estimation for lithium-ion battery based on patch learning framework
Yuyao Li, Xiangwen Zhang, Ziyang Li, et al.
Measurement (2025), pp. 117083-117083
Closed Access
Insight into the Whole from the Part: Redefined State of Health for Lithium-Ion Batteries based on Optimal Charging Fragment Search
Zhen Zhang, Yuhao Zhu, Yichang Gong, et al.
Energy (2025), pp. 135220-135220
Closed Access
Machine-learning-based efficient parameter space exploration for energy storage systems
Maher Alghalayini, Daniel L. Collins-Wildman, Kenneth Higa, et al.
Cell Reports Physical Science (2025), pp. 102543-102543
Open Access
SOH evaluation and RUL estimation of lithium-ion batteries based on MC-CNN-TimesNet model
Yanming Li, Xiaojuan Qin, Min Chai, et al.
Reliability Engineering & System Safety (2025), pp. 111125-111125
Closed Access
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