
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:
Multi-fault detection and diagnosis method for battery packs based on statistical analysis
Hanxiao Liu, Liwei Li, Bin Duan, et al.
Energy (2024) Vol. 293, pp. 130465-130465
Closed Access | Times Cited: 8
Hanxiao Liu, Liwei Li, Bin Duan, et al.
Energy (2024) Vol. 293, pp. 130465-130465
Closed Access | Times Cited: 8
Showing 8 citing articles:
Aging abnormality detection of lithium-ion batteries combining feature engineering and deep learning
Jingcai Du, Caiping Zhang, Shuowei Li, et al.
Energy (2024) Vol. 297, pp. 131276-131276
Closed Access | Times Cited: 5
Jingcai Du, Caiping Zhang, Shuowei Li, et al.
Energy (2024) Vol. 297, pp. 131276-131276
Closed Access | Times Cited: 5
Data-driven strategy: A robust battery anomaly detection method for short circuit fault based on mixed features and autoencoder
Hongyu Zhao, Chengzhong Zhang, Chenglin Liao, et al.
Applied Energy (2025) Vol. 382, pp. 125267-125267
Closed Access
Hongyu Zhao, Chengzhong Zhang, Chenglin Liao, et al.
Applied Energy (2025) Vol. 382, pp. 125267-125267
Closed Access
A deep neural network for multi-fault diagnosis of battery packs based on an incremental voltage measurement topology
Hongyu Zhao, Chengzhong Zhang, Xu Liang, et al.
Energy (2025) Vol. 316, pp. 134590-134590
Closed Access
Hongyu Zhao, Chengzhong Zhang, Xu Liang, et al.
Energy (2025) Vol. 316, pp. 134590-134590
Closed Access
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
Qifan Yang, Zhiguo Yu, Yiqing Liu, et al.
Energy (2025), pp. 134881-134881
Closed Access
Comparative Study of Multiple-Sensor-Fault-Detection Based Time–Frequency Analysis Methods on Lithium-Ion Batteries
Qian-Cheng Wang, Hui Chen, Engang Tian
Processes (2025) Vol. 13, Iss. 4, pp. 929-929
Open Access
Qian-Cheng Wang, Hui Chen, Engang Tian
Processes (2025) Vol. 13, Iss. 4, pp. 929-929
Open Access
Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks
Sizhe Liu, XU De-zhi, Yujian Ye, et al.
Information Sciences (2024) Vol. 687, pp. 121399-121399
Closed Access | Times Cited: 3
Sizhe Liu, XU De-zhi, Yujian Ye, et al.
Information Sciences (2024) Vol. 687, pp. 121399-121399
Closed Access | Times Cited: 3
Enhancing multi-type fault diagnosis in lithium-ion battery systems: Vision transformer-based transfer learning approach
Xuyang Liu, Hongchang Cai, Zihan Zhou, et al.
Journal of Power Sources (2024) Vol. 624, pp. 235610-235610
Closed Access | Times Cited: 1
Xuyang Liu, Hongchang Cai, Zihan Zhou, et al.
Journal of Power Sources (2024) Vol. 624, pp. 235610-235610
Closed Access | Times Cited: 1
Fault diagnosis of early internal short circuit for power battery systems based on the evolution of the cell charging voltage slope in variable voltage window
Qiquan Liu, Jian Ma, Xuan Zhao, et al.
Applied Energy (2024) Vol. 376, pp. 124310-124310
Closed Access
Qiquan Liu, Jian Ma, Xuan Zhao, et al.
Applied Energy (2024) Vol. 376, pp. 124310-124310
Closed Access
Comprehensive fault diagnosis of lithium-ion batteries: An innovative approach based on hybrid coding and genetic search
Chao Ji, Guang Jin, Ran Zhang
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109842-109842
Closed Access
Chao Ji, Guang Jin, Ran Zhang
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109842-109842
Closed Access