
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:
Battery prognostics and health management for electric vehicles under industry 4.0
Jingyuan Zhao, Andrew Burke
Journal of Energy Chemistry (2023) Vol. 84, pp. 30-33
Closed Access | Times Cited: 35
Jingyuan Zhao, Andrew Burke
Journal of Energy Chemistry (2023) Vol. 84, pp. 30-33
Closed Access | Times Cited: 35
Showing 1-25 of 35 citing articles:
Battery prognostics and health management from a machine learning perspective
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Journal of Power Sources (2023) Vol. 581, pp. 233474-233474
Closed Access | Times Cited: 60
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Journal of Power Sources (2023) Vol. 581, pp. 233474-233474
Closed Access | Times Cited: 60
Specialized deep neural networks for battery health prognostics: Opportunities and challenges
Jingyuan Zhao, Xuebing Han, Minggao Ouyang, et al.
Journal of Energy Chemistry (2023) Vol. 87, pp. 416-438
Closed Access | Times Cited: 56
Jingyuan Zhao, Xuebing Han, Minggao Ouyang, et al.
Journal of Energy Chemistry (2023) Vol. 87, pp. 416-438
Closed Access | Times Cited: 56
Battery safety: Machine learning-based prognostics
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Progress in Energy and Combustion Science (2024) Vol. 102, pp. 101142-101142
Open Access | Times Cited: 53
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Progress in Energy and Combustion Science (2024) Vol. 102, pp. 101142-101142
Open Access | Times Cited: 53
Battery safety: Fault diagnosis from laboratory to real world
Jingyuan Zhao, Xuning Feng, ManhâKien Tran, et al.
Journal of Power Sources (2024) Vol. 598, pp. 234111-234111
Open Access | Times Cited: 48
Jingyuan Zhao, Xuning Feng, ManhâKien Tran, et al.
Journal of Power Sources (2024) Vol. 598, pp. 234111-234111
Open Access | Times Cited: 48
Battery fault diagnosis and failure prognosis for electric vehicles using spatio-temporal transformer networks
Jingyuan Zhao, Xuning Feng, Junbin Wang, et al.
Applied Energy (2023) Vol. 352, pp. 121949-121949
Closed Access | Times Cited: 42
Jingyuan Zhao, Xuning Feng, Junbin Wang, et al.
Applied Energy (2023) Vol. 352, pp. 121949-121949
Closed Access | Times Cited: 42
Rapid health estimation of in-service battery packs based on limited labels and domain adaptation
Zhongwei Deng, Le Xu, Hongao Liu, et al.
Journal of Energy Chemistry (2023) Vol. 89, pp. 345-354
Closed Access | Times Cited: 41
Zhongwei Deng, Le Xu, Hongao Liu, et al.
Journal of Energy Chemistry (2023) Vol. 89, pp. 345-354
Closed Access | Times Cited: 41
Cloud-Based Artificial Intelligence Framework for Battery Management System
Dapai Shi, Jingyuan Zhao, Chika Eze, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4403-4403
Open Access | Times Cited: 39
Dapai Shi, Jingyuan Zhao, Chika Eze, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4403-4403
Open Access | Times Cited: 39
Insights and reviews on battery lifetime prediction from research to practice
Xudong Qu, Dapai Shi, Jingyuan Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 716-739
Closed Access | Times Cited: 24
Xudong Qu, Dapai Shi, Jingyuan Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 716-739
Closed Access | Times Cited: 24
EV battery fault diagnostics and prognostics using deep learning: Review, challenges & opportunities
Ram Machlev
Journal of Energy Storage (2024) Vol. 83, pp. 110614-110614
Closed Access | Times Cited: 14
Ram Machlev
Journal of Energy Storage (2024) Vol. 83, pp. 110614-110614
Closed Access | Times Cited: 14
Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation
Dapai Shi, Jingyuan Zhao, Zhenghong Wang, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2598-2598
Open Access | Times Cited: 25
Dapai Shi, Jingyuan Zhao, Zhenghong Wang, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2598-2598
Open Access | Times Cited: 25
Chloride ion battery: A new emerged electrochemical system for next-generation energy storage
Shulin Chen, Wu Lu, Yu Liu, et al.
Journal of Energy Chemistry (2023) Vol. 88, pp. 154-168
Closed Access | Times Cited: 22
Shulin Chen, Wu Lu, Yu Liu, et al.
Journal of Energy Chemistry (2023) Vol. 88, pp. 154-168
Closed Access | Times Cited: 22
Battery health diagnostics: Bridging the gap between academia and industry
Zhenghong Wang, Dapai Shi, Jingyuan Zhao, et al.
eTransportation (2023) Vol. 19, pp. 100309-100309
Closed Access | Times Cited: 21
Zhenghong Wang, Dapai Shi, Jingyuan Zhao, et al.
eTransportation (2023) Vol. 19, pp. 100309-100309
Closed Access | Times Cited: 21
Artificial intelligence-driven real-world battery diagnostics
Jingyuan Zhao, Xudong Qu, Yuyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100419-100419
Open Access | Times Cited: 11
Jingyuan Zhao, Xudong Qu, Yuyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100419-100419
Open Access | Times Cited: 11
Specialized Convolutional Transformer Networks for Estimating Battery Health via Transfer Learning
Jingyuan Zhao, Zhenghong Wang
Energy storage materials (2024) Vol. 71, pp. 103668-103668
Closed Access | Times Cited: 9
Jingyuan Zhao, Zhenghong Wang
Energy storage materials (2024) Vol. 71, pp. 103668-103668
Closed Access | Times Cited: 9
Vehicle choice modeling for emerging zero-emission medium- and heavy-duty vehicle markets in California
Jingyuan Zhao, Andrew Burke, Marshall R. Miller, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 26, pp. 101169-101169
Open Access | Times Cited: 8
Jingyuan Zhao, Andrew Burke, Marshall R. Miller, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 26, pp. 101169-101169
Open Access | Times Cited: 8
Vehicle-cloud-collaborated prognosis and health management for lithium-ion batteries: framework, technics and perspective
Sida Zhou, Gao Zichao, Honglei Dong, et al.
Energy storage materials (2024) Vol. 70, pp. 103531-103531
Closed Access | Times Cited: 7
Sida Zhou, Gao Zichao, Honglei Dong, et al.
Energy storage materials (2024) Vol. 70, pp. 103531-103531
Closed Access | Times Cited: 7
A comparative study of data-driven battery capacity estimation based on partial charging curves
Chuanping Lin, Jun Xu, Delong Jiang, et al.
Journal of Energy Chemistry (2023) Vol. 88, pp. 409-420
Closed Access | Times Cited: 20
Chuanping Lin, Jun Xu, Delong Jiang, et al.
Journal of Energy Chemistry (2023) Vol. 88, pp. 409-420
Closed Access | Times Cited: 20
Multiscale modeling for enhanced battery health analysis: Pathways to longevity
Kaiyi Yang, Lisheng Zhang, Wentao Wang, et al.
Carbon Neutralization (2024) Vol. 3, Iss. 3, pp. 348-385
Open Access | Times Cited: 7
Kaiyi Yang, Lisheng Zhang, Wentao Wang, et al.
Carbon Neutralization (2024) Vol. 3, Iss. 3, pp. 348-385
Open Access | Times Cited: 7
Vehicle choice modeling for emerging zero-emission light-duty vehicle markets in California
Andrew Burke, Jingyuan Zhao, Marshall R. Miller, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32823-e32823
Open Access | Times Cited: 7
Andrew Burke, Jingyuan Zhao, Marshall R. Miller, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32823-e32823
Open Access | Times Cited: 7
Battery Engineering Safety Technologies (BEST): Mechanisms, Modes, Metrics, Modelling and Mitigation
Jingyuan Zhao, Zhilong Lv, Di Li, et al.
eTransportation (2024), pp. 100364-100364
Closed Access | Times Cited: 6
Jingyuan Zhao, Zhilong Lv, Di Li, et al.
eTransportation (2024), pp. 100364-100364
Closed Access | Times Cited: 6
Remaining useful life prediction for stochastic deteriorating Devices: A direct approach via inverse degradation modeling
Tianmei Li, Zhenyu Cai, Zhaoju Zeng, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112431-112431
Closed Access
Tianmei Li, Zhenyu Cai, Zhaoju Zeng, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112431-112431
Closed Access
Artificial Intelligence-Driven Electric Vehicle Battery Lifetime Diagnostics
Jingyuan Zhao, Andrew Burke
IntechOpen eBooks (2025)
Closed Access
Jingyuan Zhao, Andrew Burke
IntechOpen eBooks (2025)
Closed Access
Remaining Useful Life Prediction of Lead-Acid Battery Using Multi-phase Wiener Process-based Degradation Model
Jun Yang, Yueming Hong, Wenlin Wang, et al.
Process Safety and Environmental Protection (2025), pp. 106974-106974
Closed Access
Jun Yang, Yueming Hong, Wenlin Wang, et al.
Process Safety and Environmental Protection (2025), pp. 106974-106974
Closed Access
Design and optimization of a novel flow field structure to improve the comprehensive performance of vanadium redox flow batteries
Zebo Huang, Yilin Liu, Xing Xie, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236736-236736
Closed Access
Zebo Huang, Yilin Liu, Xing Xie, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236736-236736
Closed Access
Intelligent battery life management through mechanism and machine learning under real vehicle working conditions
Xingyu Zhou, Xuebing Han, Kunchong Shi, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236749-236749
Closed Access
Xingyu Zhou, Xuebing Han, Kunchong Shi, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236749-236749
Closed Access