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:
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
Showing 5 citing articles:
Data-Driven Quantification of Battery Degradation Modes Via Critical Features from Charging
Yuanhao Cheng, Hanyu Bai, Yichen Liang, et al.
(2025)
Open Access
Yuanhao Cheng, Hanyu Bai, Yichen Liang, et al.
(2025)
Open Access
Flexible upper cut-off voltage regulation for life extension of lithium-ion batteries
Fengfei Wang, Shengjin Tang, Xuebing Han, et al.
Energy (2025), pp. 134776-134776
Closed Access
Fengfei Wang, Shengjin Tang, Xuebing Han, et al.
Energy (2025), pp. 134776-134776
Closed Access
Predict the lifetime of lithium-ion batteries using early cycles: A review
M.Y. Yang, Xiaofei Sun, Rui Liu, et al.
Applied Energy (2024) Vol. 376, pp. 124171-124171
Closed Access | Times Cited: 3
M.Y. Yang, Xiaofei Sun, Rui Liu, et al.
Applied Energy (2024) Vol. 376, pp. 124171-124171
Closed Access | Times Cited: 3
Feature engineering-driven multi-scale voltage anomaly detection for Lithium-ion batteries in real-world electric vehicles
Shuowei Li, Caiping Zhang, Jingcai Du, et al.
Applied Energy (2024) Vol. 377, pp. 124634-124634
Closed Access | Times Cited: 1
Shuowei Li, Caiping Zhang, Jingcai Du, et al.
Applied Energy (2024) Vol. 377, pp. 124634-124634
Closed Access | Times Cited: 1
Machine learning and feature engineering-based anode potential estimation method for lithium-ion batteries with application
Shichang Ma, Bingxiang Sun, Xin Chen, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114387-114387
Closed Access
Shichang Ma, Bingxiang Sun, Xin Chen, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114387-114387
Closed Access
