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:
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
Mingqiang Lin, Leisi Ke, Wei Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108666-108666
Closed Access | Times Cited: 7
Showing 7 citing articles:
Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends
Zhiqiang Lyu, Longxing Wu, Mohan Lyu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113827-113827
Closed Access | Times Cited: 5
Zhiqiang Lyu, Longxing Wu, Mohan Lyu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113827-113827
Closed Access | Times Cited: 5
Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches
Adrienn Dineva
Batteries (2024) Vol. 10, Iss. 10, pp. 356-356
Open Access | Times Cited: 5
Adrienn Dineva
Batteries (2024) Vol. 10, Iss. 10, pp. 356-356
Open Access | Times Cited: 5
Capacity Estimation for Lithium-ion Batteries Based on Heterogeneous Stacking Model with Feature Fusion.
G. G. Mu, Qingguo Wei, Yonghong Xu, et al.
Energy (2024), pp. 133881-133881
Closed Access | Times Cited: 4
G. G. Mu, Qingguo Wei, Yonghong Xu, et al.
Energy (2024), pp. 133881-133881
Closed Access | Times Cited: 4
A multiple aging factor interactive learning framework for lithium-ion battery state-of-health estimation
Zhengyi Bao, Tingting Luo, Mingyu Gao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110388-110388
Closed Access
Zhengyi Bao, Tingting Luo, Mingyu Gao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110388-110388
Closed Access
Robust state of health estimation of commercial lithium-ion batteries based on enhanced hybrid machine learning model for electrified transportation
Deepak Kumar, M. Rizwan, Amrish K. Panwar
Electrical Engineering (2024)
Closed Access | Times Cited: 1
Deepak Kumar, M. Rizwan, Amrish K. Panwar
Electrical Engineering (2024)
Closed Access | Times Cited: 1
BMSFormer: An efficient deep learning model for online state-of-health estimation of lithium-ion batteries under high-frequency early SOC data with strong correlated single health indicator
Xiaopeng Li, Minghang Zhao, Shisheng Zhong, et al.
Energy (2024), pp. 134030-134030
Closed Access
Xiaopeng Li, Minghang Zhao, Shisheng Zhong, et al.
Energy (2024), pp. 134030-134030
Closed Access
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
Jeong-woo Jang, Junhyoung Jo, Jinsu Kim, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109704-109704
Closed Access
