
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 Data-Fusion-Model Method for State of Health Estimation of Li-Ion Battery Packs Based on Partial Charging Curve
Xingzi Qiang, Wenting Liu, Zhiqiang Lyu, et al.
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 5, pp. 100169-100169
Open Access | Times Cited: 9
Xingzi Qiang, Wenting Liu, Zhiqiang Lyu, et al.
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 5, pp. 100169-100169
Open Access | Times Cited: 9
Showing 9 citing articles:
State‐of‐health estimation of lithium‐ion batteries: A comprehensive literature review from cell to pack levels
Lingzhi Su, Yan Xu, Zhaoyang Dong
Energy Conversion and Economics (2024) Vol. 5, Iss. 4, pp. 224-242
Open Access | Times Cited: 5
Lingzhi Su, Yan Xu, Zhaoyang Dong
Energy Conversion and Economics (2024) Vol. 5, Iss. 4, pp. 224-242
Open Access | Times Cited: 5
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
Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis
Pengcheng Zhao, Zhang We, Xiaoshan Cao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109520-109520
Closed Access | Times Cited: 4
Pengcheng Zhao, Zhang We, Xiaoshan Cao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109520-109520
Closed Access | Times Cited: 4
Physics-informed battery degradation prediction: Forecasting charging curves using one-cycle data
Aihua Tang, Yuchen Xu, Jinpeng Tian, et al.
Journal of Energy Chemistry (2024)
Closed Access | Times Cited: 4
Aihua Tang, Yuchen Xu, Jinpeng Tian, et al.
Journal of Energy Chemistry (2024)
Closed Access | Times Cited: 4
Accurate estimation of state of health for lithium-ion batteries based on Pyraformer and TimeGAN data augmentation
Xinhua Liu, Kaiyi Yang, Bosong Zou, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236722-236722
Closed Access
Xinhua Liu, Kaiyi Yang, Bosong Zou, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236722-236722
Closed Access
State of health estimation for lithium-ion batteries based on optimal feature subset algorithm
Jing Sun, Haitao Wang
Energy (2025), pp. 135685-135685
Closed Access
Jing Sun, Haitao Wang
Energy (2025), pp. 135685-135685
Closed Access
Neuromorphic computing-enabled generalized machine fault diagnosis with dynamic vision
Changhao Liu, Xiang Li, X Chen, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103300-103300
Closed Access
Changhao Liu, Xiang Li, X Chen, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103300-103300
Closed Access
Data Augmentation and Deep Learning Methods for Pressure Prediction in Ignition Process of Solid Rocket Motors
Huixin Yang, Pengcheng Yu, Yan Cui, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 906-906
Open Access
Huixin Yang, Pengcheng Yu, Yan Cui, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 906-906
Open Access
Deep learning-enabled turbulence model optimization of solid motor
Huixin Yang, Pengcheng Yu, Bixuan Lou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103072-103072
Closed Access
Huixin Yang, Pengcheng Yu, Bixuan Lou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103072-103072
Closed Access