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:

A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery
Ying Zhang, Yan‐Fu Li, Ming Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107698-107698
Closed Access | Times Cited: 8

Showing 8 citing articles:

Health prognosis via feature optimization and convolutional neural network for lithium-ion batteries
Mingqiang Lin, Leisi Ke, Wei Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108666-108666
Closed Access | Times Cited: 7

Optimal filter design using mountain gazelle optimizer driven by novel sparsity index and its application to fault diagnosis
Sumika Chauhan, Govind Vashishtha, Radosław Zimroz, et al.
Applied Acoustics (2024) Vol. 225, pp. 110200-110200
Closed Access | Times Cited: 5

Physics-informed Neural Network Supported Wiener Process for Degradation Modeling and Reliability Prediction
Zewen He, Shaoping Wang, Jian Shi, et al.
Reliability Engineering & System Safety (2025), pp. 110906-110906
Closed Access

A hybrid grey approach for battery remaining useful life prediction considering capacity regeneration
Kailing Li, Naiming Xie, Hui Li
Expert Systems with Applications (2025), pp. 126905-126905
Closed Access

Safer Operating Areas (SOA) of Cylindrical Lithium-Ion Battery – A Probabilistic Approach
Sankhadeep Sarkar, Dhananjay Swamy, Md. Tanjin Amin, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 708-725
Closed Access | Times Cited: 2

Data-driven spiking neural networks for intelligent fault detection in vehicle lithium-ion battery systems
Penghao Wu, Engang Tian, Hongfeng Tao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109756-109756
Closed Access | Times Cited: 2

State of health estimation of lithium-ion battery cell based on optical thermometry with physics-informed machine learning
Jeong-woo Jang, Junhyoung Jo, Jinsu Kim, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109704-109704
Closed Access

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