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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 review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Xin Sui, Shan He, Søren Byg Vilsen, et al.
Applied Energy (2021) Vol. 300, pp. 117346-117346
Open Access | Times Cited: 276

Showing 1-25 of 276 citing articles:

A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
Bo Jiang, Jiangong Zhu, Xueyuan Wang, et al.
Applied Energy (2022) Vol. 322, pp. 119502-119502
Closed Access | Times Cited: 202
Towards Long Lifetime Battery: AI-Based Manufacturing and Management
Kailong Liu, Zhongbao Wei, Chenghui Zhang, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 7, pp. 1139-1165
Closed Access | Times Cited: 183
Concept Review of a Cloud-Based Smart Battery Management System for Lithium-Ion Batteries: Feasibility, Logistics, and Functionality
Manh‐Kien Tran, Satyam Panchal, Trần Đình Khang, et al.
Batteries (2022) Vol. 8, Iss. 2, pp. 19-19
Open Access | Times Cited: 171
Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Yunhong Che, Xiaosong Hu, Xianke Lin, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 2, pp. 338-371
Open Access | Times Cited: 171
Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries
Wenxuan Hu, Yufan Peng, Yimin Wei, et al.
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 9, pp. 4465-4495
Closed Access | Times Cited: 152
Understanding the mechanism of capacity increase during early cycling of commercial NMC/graphite lithium-ion batteries
Jia Guo, Yaqi Li, Jinhao Meng, et al.
Journal of Energy Chemistry (2022) Vol. 74, pp. 34-44
Open Access | Times Cited: 103
Constant current charging time based fast state-of-health estimation for lithium-ion batteries
Chuanping Lin, Jun Xu, Mingjie Shi, et al.
Energy (2022) Vol. 247, pp. 123556-123556
Closed Access | Times Cited: 90
Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects
Kailong Liu, Qiao Peng, Yunhong Che, et al.
Advances in Applied Energy (2022) Vol. 9, pp. 100117-100117
Open Access | Times Cited: 85
A data-driven method for extracting aging features to accurately predict the battery health
Rui Xiong, Yue Sun, Chenxu Wang, et al.
Energy storage materials (2023) Vol. 57, pp. 460-470
Closed Access | Times Cited: 85
The development of machine learning-based remaining useful life prediction for lithium-ion batteries
Xingjun Li, Dan Yu, Søren Byg Vilsen, et al.
Journal of Energy Chemistry (2023) Vol. 82, pp. 103-121
Open Access | Times Cited: 81
A reliable data-driven state-of-health estimation model for lithium-ion batteries in electric vehicles
Chaolong Zhang, Shaishai Zhao, Yang Zhong, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 79
Joint estimation of state-of-charge and state-of-health for all cells in the battery pack using “leader-follower” strategy
Xiaopeng Tang, Yuanqiang Zhou, Furong Gao, et al.
eTransportation (2022) Vol. 15, pp. 100213-100213
Closed Access | Times Cited: 76
Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities
Yusheng Zheng, Yunhong Che, Xiao Hu, et al.
Progress in Energy and Combustion Science (2023) Vol. 100, pp. 101120-101120
Open Access | Times Cited: 76
An overview of data-driven battery health estimation technology for battery management system
Minzhi Chen, Guijun Ma, Weibo Liu, et al.
Neurocomputing (2023) Vol. 532, pp. 152-169
Closed Access | Times Cited: 73
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: 72
State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles
Steffen Bockrath, Vincent Lorentz, Marco Pruckner
Applied Energy (2022) Vol. 329, pp. 120307-120307
Open Access | Times Cited: 72
Lithium-ion battery health estimation with real-world data for electric vehicles
Jiaqiang Tian, Xinghua Liu, Siqi Li, et al.
Energy (2023) Vol. 270, pp. 126855-126855
Closed Access | Times Cited: 71
Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network
Yunhong Che, Yusheng Zheng, Yue Wu, et al.
Applied Energy (2022) Vol. 323, pp. 119663-119663
Open Access | Times Cited: 70
Summary of Health-State Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy
Xinwei Sun, Yang Zhang, Yongcheng Zhang, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5682-5682
Open Access | Times Cited: 65
Artificial Intelligence-based health diagnostic of Lithium-ion battery leveraging transient stage of constant current and constant voltage charging
Haokai Ruan, Zhongbao Wei, Wentao Shang, et al.
Applied Energy (2023) Vol. 336, pp. 120751-120751
Closed Access | Times Cited: 63
Applications of artificial neural network based battery management systems: A literature review
Mehmet Kurucan, Mete Özbaltan, Zekí Yetgín, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114262-114262
Closed Access | Times Cited: 63
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: 54
Ensemble Method With Heterogeneous Models for Battery State-of-Health Estimation
Chuanping Lin, Jun Xu, Jiayang Hou, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10160-10169
Closed Access | Times Cited: 43
Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization
Liqianyun Xu, Feng Wu, Renjie Chen, et al.
Energy storage materials (2023) Vol. 59, pp. 102785-102785
Closed Access | Times Cited: 39
Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies
Kaleem Mehmood, Shoaib Ahmad Anees, Mi Luo, et al.
Trees Forests and People (2024) Vol. 16, pp. 100521-100521
Open Access | Times Cited: 32
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