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 feature optimization and ensemble learning method for state-of-health prediction of mining lithium-ion batteries
Juqiang Feng, Feng Cai, Yang Zhao, et al.
Energy (2024) Vol. 299, pp. 131474-131474
Closed Access | Times Cited: 8
Juqiang Feng, Feng Cai, Yang Zhao, et al.
Energy (2024) Vol. 299, pp. 131474-131474
Closed Access | Times Cited: 8
Showing 8 citing articles:
State of Charge Estimation of Lithium-ion Batteries in an Electric Vehicle using Hybrid Metaheuristic - Deep Neural Networks Models
Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa
Energy Storage and Saving (2025)
Open Access
Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa
Energy Storage and Saving (2025)
Open Access
Optimizing Electric Vehicle Battery Health Monitoring: A Resilient Ensemble Learning Approach for State-of-Health Prediction
Vankamamidi S. Naresh, P. Gayathri, P. Tejaswi, et al.
Sustainable Energy Grids and Networks (2025), pp. 101655-101655
Closed Access
Vankamamidi S. Naresh, P. Gayathri, P. Tejaswi, et al.
Sustainable Energy Grids and Networks (2025), pp. 101655-101655
Closed Access
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: 3
G. G. Mu, Qingguo Wei, Yonghong Xu, et al.
Energy (2024), pp. 133881-133881
Closed Access | Times Cited: 3
Global-local attention network and value-informed federated strategy for predicting power battery state of health
Bingyang Chen, Kai Wang, Degang Xu, et al.
Energy (2024) Vol. 313, pp. 134088-134088
Closed Access | Times Cited: 1
Bingyang Chen, Kai Wang, Degang Xu, et al.
Energy (2024) Vol. 313, pp. 134088-134088
Closed Access | Times Cited: 1
State of health estimation joint improved grey wolf optimization algorithm and LSTM using partial discharging health features for lithium-ion batteries
Simin Peng, Yujian Wang, Aihua Tang, et al.
Energy (2024), pp. 134293-134293
Closed Access | Times Cited: 1
Simin Peng, Yujian Wang, Aihua Tang, et al.
Energy (2024), pp. 134293-134293
Closed Access | Times Cited: 1
Detecting abnormality of battery decline for unbalanced samples via ensemble learning optimization
Jingcai Du, Caiping Zhang, Shuowei Li, et al.
Journal of Energy Storage (2024) Vol. 104, pp. 114522-114522
Closed Access
Jingcai Du, Caiping Zhang, Shuowei Li, et al.
Journal of Energy Storage (2024) Vol. 104, pp. 114522-114522
Closed Access
A novel state of health estimation model for lithium-ion batteries incorporating signal processing and optimized machine learning methods
Xing Zhang, Juqiang Feng, Feng Cai, et al.
Frontiers in Energy (2024)
Closed Access
Xing Zhang, Juqiang Feng, Feng Cai, et al.
Frontiers in Energy (2024)
Closed Access
Multiple measurement health factors extraction and transfer learning with convolutional-BiLSTM algorithm for state-of-health evaluation of energy storage batteries
Zinan Shi, Chenyu Zhu, Huishi Liang, et al.
Ionics (2024)
Closed Access
Zinan Shi, Chenyu Zhu, Huishi Liang, et al.
Ionics (2024)
Closed Access
