
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 for lithium-ion batteries based on differential thermal voltammetry and a long and short memory neural network
Bin Ma, Hanqing Yu, Wentao Wang, et al.
Rare Metals (2022) Vol. 42, Iss. 3, pp. 885-901
Closed Access | Times Cited: 18
Bin Ma, Hanqing Yu, Wentao Wang, et al.
Rare Metals (2022) Vol. 42, Iss. 3, pp. 885-901
Closed Access | Times Cited: 18
Showing 18 citing articles:
State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries
Hanqing Yu, Lisheng Zhang, Wentao Wang, et al.
Energy (2023) Vol. 278, pp. 127846-127846
Closed Access | Times Cited: 44
Hanqing Yu, Lisheng Zhang, Wentao Wang, et al.
Energy (2023) Vol. 278, pp. 127846-127846
Closed Access | Times Cited: 44
Electric vehicle lifecycle carbon emission reduction: A review
Zhenhai Gao, Haicheng Xie, Xianbin Yang, et al.
Carbon Neutralization (2023) Vol. 2, Iss. 5, pp. 528-550
Open Access | Times Cited: 25
Zhenhai Gao, Haicheng Xie, Xianbin Yang, et al.
Carbon Neutralization (2023) Vol. 2, Iss. 5, pp. 528-550
Open Access | Times Cited: 25
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
Fujin Wang, Zhi Zhai, Bingchen Liu, et al.
Journal of Energy Storage (2023) Vol. 77, pp. 109884-109884
Closed Access | Times Cited: 23
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
Sanjeev Kumar Singh, P. R. Budarapu
Energy (2024) Vol. 300, pp. 131540-131540
Closed Access | Times Cited: 10
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
Fei Xia, Chao Tang, Jiajun Chen
Measurement (2024) Vol. 234, pp. 114758-114758
Closed Access | Times Cited: 8
Facilitating Li+ conduction channels and suppressing lithium dendrites by introducing Zn-based MOFs in composite electrolyte membrane with excellent thermal stability for solid-state lithium metal batteries
Shengbin Luo, Nanping Deng, Hao Wang, et al.
Chemical Engineering Journal (2023) Vol. 474, pp. 145683-145683
Closed Access | Times Cited: 17
Shengbin Luo, Nanping Deng, Hao Wang, et al.
Chemical Engineering Journal (2023) Vol. 474, pp. 145683-145683
Closed Access | Times Cited: 17
SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction
Zhenhai Gao, Haicheng Xie, Xianbin Yang, et al.
Journal of Energy Storage (2023) Vol. 75, pp. 109690-109690
Closed Access | Times Cited: 14
Zhenhai Gao, Haicheng Xie, Xianbin Yang, et al.
Journal of Energy Storage (2023) Vol. 75, pp. 109690-109690
Closed Access | Times Cited: 14
Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems
Jan Neunzling, Philipp Hainke, H. Winter, et al.
Batteries (2025) Vol. 11, Iss. 1, pp. 25-25
Open Access
Jan Neunzling, Philipp Hainke, H. Winter, et al.
Batteries (2025) Vol. 11, Iss. 1, pp. 25-25
Open Access
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
Qingwei Li, Wenli Xue
Journal of Energy Storage (2025) Vol. 112, pp. 115453-115453
Closed Access
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: 9
Nan Qi, Kang Yan, Yajuan Yu, et al.
Frontiers in Energy (2023) Vol. 18, Iss. 2, pp. 223-240
Closed Access | Times Cited: 9
Driving sustainability - The role of digital twin in enhancing battery performance for electric vehicles
P.K. Rajesh, T. Soundarya, K.V. Jithin
Journal of Power Sources (2024) Vol. 604, pp. 234464-234464
Closed Access | Times Cited: 2
P.K. Rajesh, T. Soundarya, K.V. Jithin
Journal of Power Sources (2024) Vol. 604, pp. 234464-234464
Closed Access | Times Cited: 2
Onboard in-situ warning and detection of Li plating for fast-charging batteries with deep learning
Han Wang, Yajie Song, Xue Sun, et al.
Energy storage materials (2024) Vol. 71, pp. 103585-103585
Closed Access | Times Cited: 2
Han Wang, Yajie Song, Xue Sun, et al.
Energy storage materials (2024) Vol. 71, pp. 103585-103585
Closed Access | Times Cited: 2
A novel transformer-embedded lithium-ion battery model for joint estimation of state-of-charge and state-of-health
Shangyu Zhao, Kai Ou, Xingxing Gu, et al.
Rare Metals (2024) Vol. 43, Iss. 11, pp. 5637-5651
Closed Access | Times Cited: 2
Shangyu Zhao, Kai Ou, Xingxing Gu, et al.
Rare Metals (2024) Vol. 43, Iss. 11, pp. 5637-5651
Closed Access | Times Cited: 2
A data-driven early warning method for thermal runaway of energy storage batteries and its application in retired lithium batteries
Fuxin Chen, Xiaolin Chen, Junwu Jin, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 1
Fuxin Chen, Xiaolin Chen, Junwu Jin, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 1
A functional cathode sodium compensation agent for stable sodium-ion batteries
Wei Wu, Zhenglin Hu, Zhengfei Zhao, et al.
Green Energy & Environment (2024)
Open Access | Times Cited: 1
Wei Wu, Zhenglin Hu, Zhengfei Zhao, et al.
Green Energy & Environment (2024)
Open Access | Times Cited: 1
Onboard In-Situ Warning and Detection of Li Plating for Fast-Charging Batteries with Deep Learning
Han Wang, Yajie Song, Xue Sun, et al.
(2024)
Closed Access | Times Cited: 1
Han Wang, Yajie Song, Xue Sun, et al.
(2024)
Closed Access | Times Cited: 1
State of Health Estimation of Lithium-Ion Batteries Based on Multihealth Features Fusion and Improved Group Method of Data Handling
Zhiyuan Wei, Xiaowen Sun, Junjun Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 1
Zhiyuan Wei, Xiaowen Sun, Junjun Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 1
A SA-PSO Based LS-SVM Method for Lithium-Ion Battery Lifetime Prediction
Mengjiao Luo, Jia Li, Yang Li, et al.
(2023) Vol. 43, pp. 314-320
Closed Access
Mengjiao Luo, Jia Li, Yang Li, et al.
(2023) Vol. 43, pp. 314-320
Closed Access