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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 vehicle-cloud collaborative method for multi-type fault diagnosis of lithium-ion batteries
Chaojie Xu, Laibao Li, Yuwen Xu, et al.
eTransportation (2022) Vol. 12, pp. 100172-100172
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications
Quanqing Yu, Can Wang, Jianming Li, et al.
eTransportation (2023) Vol. 17, pp. 100254-100254
Closed Access | Times Cited: 108
Perspectives and challenges for future lithium-ion battery control and management
Yujie Wang, Xingchen Zhang, Kaiquan Li, et al.
eTransportation (2023) Vol. 18, pp. 100260-100260
Closed Access | Times Cited: 105
A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application
Jichang Peng, Jinhao Meng, Ji Wu, et al.
Journal of Energy Storage (2023) Vol. 71, pp. 108197-108197
Closed Access | Times Cited: 46
Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects
Heng Li, Muaaz Bin Kaleem, Kailong Liu, et al.
Journal of Energy Storage (2025) Vol. 116, pp. 116002-116002
Closed Access | Times Cited: 3
Model-constrained deep learning for online fault diagnosis in Li-ion batteries over stochastic conditions
Rui Cao, Zhengjie Zhang, Runwu Shi, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range
Shizhuo Liu, Yuwei Nie, Aihua Tang, et al.
eTransportation (2023) Vol. 18, pp. 100296-100296
Closed Access | Times Cited: 40
A novel pseudo-open-circuit voltage modeling method for accurate state-of-charge estimation of LiFePO4 batteries
Kaixuan Zhang, Rui Xiong, Qiang Li, et al.
Applied Energy (2023) Vol. 347, pp. 121406-121406
Closed Access | Times Cited: 30
Recent advances in model-based fault diagnosis for lithium-ion batteries: A comprehensive review
Yiming Xu, Xiaohua Ge, Ruohan Guo, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 207, pp. 114922-114922
Open Access | Times Cited: 11
Anomaly detection of power battery pack using gated recurrent units based variational autoencoder
Changcheng Sun, Zhiwei He, Huipin Lin, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109903-109903
Closed Access | Times Cited: 35
Thermal Runaway Characteristics and Modeling of LiFePO4 Power Battery for Electric Vehicles
Tao Sun, Luyan Wang, Dongsheng Ren, et al.
Automotive Innovation (2023) Vol. 6, Iss. 3, pp. 414-424
Open Access | Times Cited: 20
Multi-sensor multi-mode fault diagnosis for lithium-ion battery packs with time series and discriminative features
Dongxu Shen, Dazhi Yang, Chao Lyu, et al.
Energy (2023) Vol. 290, pp. 130151-130151
Closed Access | Times Cited: 17
Multi-fault diagnosis strategy based on a non-redundant interleaved measurement circuit and improved fuzzy entropy for the battery system
Song Ren, Jing Sun
Energy (2024) Vol. 292, pp. 130603-130603
Closed 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: 8
An exhaustive review of battery faults and diagnostic techniques for real-world electric vehicle safety
Jichao Hong, Fengwei Liang, Jian Yang, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113234-113234
Closed Access | Times Cited: 8
Advanced data-driven fault diagnosis in lithium-ion battery management systems for electric vehicles: Progress, challenges, and future perspectives
Maher G. M. Abdolrasol, Afida Ayob, Molla Shahadat Hossain Lipu, et al.
eTransportation (2024) Vol. 22, pp. 100374-100374
Closed Access | Times Cited: 6
A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation
Mona Faraji Niri, Koorosh Aslansefat, Sajedeh Haghi, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6360-6360
Open Access | Times Cited: 16
Week-level early warning strategy for thermal runaway risk based on real-scenario operating data of electric vehicles
Aihua Tang, Zikang Wu, Tingting Xu, et al.
eTransportation (2023) Vol. 19, pp. 100308-100308
Closed Access | Times Cited: 13
High-precision and efficiency diagnosis for polymer electrolyte membrane fuel cell based on physical mechanism and deep learning
Zhichao Gong, Bowen Wang, Yanqiu Xing, et al.
eTransportation (2023) Vol. 18, pp. 100275-100275
Closed Access | Times Cited: 12
Concurrent multi-fault diagnosis of lithium-ion battery packs using random convolution kernel transformation and Gaussian process classifier
Dongxu Shen, Chao Lyu, Dazhi Yang, et al.
Energy (2024) Vol. 306, pp. 132467-132467
Closed Access | Times Cited: 4
Battery state estimation methods and management system under vehicle–cloud collaboration: A Survey
Peng Mei, Hamid Reza Karimi, Jiale Xie, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 206, pp. 114857-114857
Open Access | Times Cited: 4
Empowering lithium-ion battery manufacturing with big data: Current status, challenges, and future
Tianxin Chen, Xin Lai, Fei Chen, et al.
Journal of Power Sources (2024) Vol. 623, pp. 235400-235400
Closed Access | Times Cited: 4
A simulation method for battery packs based on cell cloning techniques
Yifan Wang, Tianxin Chen, Kun Lü, et al.
Journal of Energy Storage (2025) Vol. 118, pp. 116151-116151
Closed Access
Identification of Internal Short-Circuit Faults in Lithium-Ion Batteries Based on a Multi-Machine Learning Fusion
Guangying Zhu, Tao Sun, Yuwen Xu, et al.
Batteries (2023) Vol. 9, Iss. 3, pp. 154-154
Open Access | Times Cited: 10
High-reliability Multi-fault Diagnosis of Lithium-ion Batteries Based on Low-redundancy Cross-measurement and Affine Transformation
Qifan Yang, Zhiguo Yu, Yiqing Liu, et al.
Energy (2025), pp. 134881-134881
Closed Access
Advanced Voltage Abnormality Detection in Real-vehicle Battery Systems Using Self-Organizing Map Neural Networks and Adaptive Threshold
Fengwei Liang, Jichao Hong, Yankai Hou, et al.
Energy (2025), pp. 135558-135558
Closed Access
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