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OpenAlex Citation Counts

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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:

Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles
Naifeng Gan, Zhenyu Sun, Zhaosheng Zhang, et al.
IEEE Transactions on Power Electronics (2021) Vol. 37, Iss. 4, pp. 4575-4588
Open Access | Times Cited: 100

Showing 1-25 of 100 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: 99
A review of early warning methods of thermal runaway of lithium ion batteries
Depeng Kong, Hongpeng Lv, Ping Ping, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 107073-107073
Closed Access | Times Cited: 89
Deep Learning Framework for Lithium-ion Battery State of Charge Estimation: Recent Advances and Future Perspectives
Jinpeng Tian, Cheng Chen, Weixiang Shen, et al.
Energy storage materials (2023) Vol. 61, pp. 102883-102883
Closed Access | Times Cited: 82
A multi-fault diagnosis method for lithium-ion battery pack using curvilinear Manhattan distance evaluation and voltage difference analysis
Chaolong Zhang, Shaishai Zhao, Yang Zhong, et al.
Journal of Energy Storage (2023) Vol. 67, pp. 107575-107575
Closed Access | Times Cited: 70
A weighted Pearson correlation coefficient based multi-fault comprehensive diagnosis for battery circuits
Zongxiang Li, Yan Yang, Liwei Li, et al.
Journal of Energy Storage (2023) Vol. 60, pp. 106584-106584
Closed Access | Times Cited: 65
Battery safety: Fault diagnosis from laboratory to real world
Jingyuan Zhao, Xuning Feng, Manh‐Kien Tran, et al.
Journal of Power Sources (2024) Vol. 598, pp. 234111-234111
Open Access | Times Cited: 48
Research progress in fault detection of battery systems: A review
Yuzhao Shang, Shanshuai Wang, Nianhang Tang, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 113079-113079
Closed Access | Times Cited: 47
Advances in battery state estimation of battery management system in electric vehicles
Ming Jiang, Dongjiang Li, Zonghua Li, et al.
Journal of Power Sources (2024) Vol. 612, pp. 234781-234781
Closed Access | Times Cited: 16
An Online Data-Driven Fault Diagnosis and Thermal Runaway Early Warning for Electric Vehicle Batteries
Zhenyu Sun, Zhenpo Wang, Peng Liu, et al.
IEEE Transactions on Power Electronics (2022) Vol. 37, Iss. 10, pp. 12636-12646
Open Access | Times Cited: 63
Multi-step ahead voltage prediction and voltage fault diagnosis based on gated recurrent unit neural network and incremental training
Hongqian Zhao, Zheng Chen, Xing Shu, et al.
Energy (2022) Vol. 266, pp. 126496-126496
Closed Access | Times Cited: 45
Overdischarge-induced evolution of Cu dendrites and degradation of mechanical properties in lithium-ion batteries
Zixin Guo, Siguo Yang, Wenyang Zhao, et al.
Journal of Energy Chemistry (2023) Vol. 78, pp. 497-506
Closed Access | Times Cited: 28
A novel fault prediction method based on convolutional neural network and long short-term memory with correlation coefficient for lithium-ion battery
Jing Sun, Song Ren, Yunlong Shang, et al.
Journal of Energy Storage (2023) Vol. 62, pp. 106811-106811
Closed Access | Times Cited: 27
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
Exploring impedance spectrum for lithium-ion batteries diagnosis and prognosis: A comprehensive review
Xinghao Du, Jinhao Meng, Yassine Amirat, et al.
Journal of Energy Chemistry (2024) Vol. 95, pp. 464-483
Open Access | Times Cited: 13
Adaptive internal short-circuit fault detection for lithium-ion batteries of electric vehicles
Xiaoyong Zhang, Wenhao Yang, Lisen Yan, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110874-110874
Closed Access | Times Cited: 10
An online fault diagnosis method for lithium-ion batteries based on signal decomposition and dimensionless indicators selection
Liyong Niu, Jingcai Du, Shuowei Li, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110590-110590
Closed Access | Times Cited: 8
A novel battery abnormality diagnosis method using multi-scale normalized coefficient of variation in real-world vehicles
Jichao Hong, Fengwei Liang, Yingjie Chen, et al.
Energy (2024) Vol. 299, pp. 131475-131475
Closed Access | Times Cited: 8
Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification
Mahbub Ul Islam Khan, M Ilius Pathan, Mohammad Mominur Rahman, et al.
IEEE Access (2024) Vol. 12, pp. 71566-71584
Open Access | Times Cited: 7
Battery Management System for Electric Vehicles
Lakshminarayana Gadupudi, J. Viswanatha Rao, Ravi Kumar Avvari
Smart innovation, systems and technologies (2024), pp. 363-374
Closed Access | Times Cited: 7
Fault isolating and grading for li-ion battery packs based on pseudo images and convolutional neural network
Jiale Xie, Jingfan Xu, Zhongbao Wei, et al.
Energy (2022) Vol. 263, pp. 125867-125867
Closed Access | Times Cited: 27
Self-Adaptive Neural Network-Based Fractional-Order Nonlinear Observer Design for State of Charge Estimation of Lithium-Ion Batteries
Ruohan Guo, Yiming Xu, Cungang Hu, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 1761-1772
Closed Access | Times Cited: 18
LightGBM-Based Framework for Lithium-Ion Battery Remaining Useful Life Prediction Under Driving Conditions
Zhipeng Jiao, Hongda Wang, Jianchun Xing, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11353-11362
Closed 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
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: 5
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: 5
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