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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 and remaining useful life prediction of lithium-ion batteries based on a disturbance-free incremental capacity and differential voltage analysis method
Fei Xia, Kangan Wang, Jiajun Chen
Journal of Energy Storage (2023) Vol. 64, pp. 107161-107161
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
Fujin Wang, Zhi Zhai, Zhibin Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 59
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: 40
Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, and outstanding issues
M. S. Reza, M. Mannan, Muhamad Mansor, et al.
Energy Reports (2024) Vol. 11, pp. 4824-4848
Open Access | Times Cited: 20
An intelligent fault diagnosis method for lithium-ion battery pack based on empirical mode decomposition and convolutional neural network
Lei Yao, Jie Zheng, Yanqiu Xiao, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108181-108181
Closed Access | Times Cited: 23
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: 8
State of health estimation for lithium-ion batteries using a hybrid neural network model with Multi-scale Convolutional Attention Mechanism
Tao He, Ziyang Gong
Journal of Power Sources (2024) Vol. 609, pp. 234680-234680
Closed Access | Times Cited: 8
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: 8
A novel hybrid neural network-based SOH and RUL estimation method for lithium-ion batteries
Baoliang Chen, Yonggui Liu, Bin Xiao
Journal of Energy Storage (2024) Vol. 98, pp. 113074-113074
Closed Access | Times Cited: 8
Multi-objective optimization estimation of state of health for lithium-ion battery based on constant current charging profile
Wenzhen Hu, Chuang Zhang, Suzhen Liu, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110785-110785
Closed Access | Times Cited: 7
Analysis and prediction of battery aging modes based on transfer learning
Jianguo Chen, Xuebing Han, Tao Sun, et al.
Applied Energy (2023) Vol. 356, pp. 122330-122330
Closed Access | Times Cited: 20
Capacity and remaining useful life prediction for lithium-ion batteries based on sequence decomposition and a deep-learning network
Zili Wang, Yonglu Liu, Fen Wang, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108085-108085
Closed Access | Times Cited: 19
A machine learning framework for remaining useful lifetime prediction of li-ion batteries using diverse neural networks
Junghwan Lee, Huanli Sun, Yongshan Liu, et al.
Energy and AI (2023) Vol. 15, pp. 100319-100319
Open Access | Times Cited: 17
Battery Reliability Assessment in Electric Vehicles: A State-of-the-Art
Joseph Omakor, Suruz Miah, Hicham Chaoui
IEEE Access (2024) Vol. 12, pp. 77903-77931
Open Access | Times Cited: 7
SOH and RUL prediction of lithium batteries based on fusions of RLOESS filtered electrochemical and thermal features by bidirectional gated recurrent unit network
Fei Xia, Yun Yu, Jiajun Chen
Journal of Energy Storage (2024) Vol. 102, pp. 114134-114134
Closed Access | Times Cited: 6
State of health indicators for second life battery through non-destructive test approaches from repurposer perspective
S Vignesh, Hang Seng, Jeyraj Selvaraj, et al.
Journal of Energy Storage (2024) Vol. 89, pp. 111656-111656
Closed Access | Times Cited: 5
A novel method for state of health estimation of lithium-ion batteries based on fractional-order differential voltage-capacity curve
Xugang Zhang, Xiyuan Gao, Linchao Duan, et al.
Applied Energy (2024) Vol. 377, pp. 124404-124404
Closed Access | Times Cited: 5
Multi-task learning and voltage reconstruction-based battery degradation prediction under variable operating conditions of energy storage applications
Shukai Sun, Liang Che, Ruifeng Zhao, et al.
Energy (2025), pp. 134645-134645
Closed Access
A novel RUL prediction framework based on the adaptability feature perception fusion model method
Jiabo Li, Zhixuan Wang, Di Tian, et al.
Journal of Energy Storage (2025) Vol. 119, pp. 116322-116322
Closed Access
Remaining useful life prediction for lithium-ion batteries with an improved grey particle filter model
Zhicun Xu, Naiming Xie, Kailing Li
Journal of Energy Storage (2023) Vol. 78, pp. 110081-110081
Closed Access | Times Cited: 15
Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
M. S. Reza, M. A. Hannan, Muhamad Mansor, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 113056-113056
Closed Access | Times Cited: 4
Predict the lifetime of lithium-ion batteries using early cycles: A review
M.Y. Yang, Xiaofei Sun, Rui Liu, et al.
Applied Energy (2024) Vol. 376, pp. 124171-124171
Closed Access | Times Cited: 4
A review of feature extraction toward health state estimation of lithium-ion batteries
Qingwei Li, Wenli Xue
Journal of Energy Storage (2025) Vol. 112, pp. 115453-115453
Closed Access
Lifecycle Evaluation of Lithium-Ion Batteries Under Fast Charging and Discharging Conditions
Olivia Bruj, Adrian Calboréan
Batteries (2025) Vol. 11, Iss. 2, pp. 65-65
Open Access
State of health estimation of lithium-ion batteries based on maximal information coefficient feature optimization and GJO-BP neural network
Farong Kou, Dongming Zhou, Tianxiang Yang, et al.
Ionics (2025)
Closed Access
A multi-strategy attention regression network for joint prediction of state of health and remaining useful life of lithium-ion batteries using only charging data
Weiguo Feng, Z. T. Sun, Y. L. Han, et al.
Journal of Power Sources (2025) Vol. 636, pp. 236507-236507
Closed Access
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