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:
Lightweight state-of-health estimation of lithium-ion batteries based on statistical feature optimization
Houde Dai, Jiaxin Wang, Yiyang Huang, et al.
Renewable Energy (2023) Vol. 222, pp. 119907-119907
Closed Access | Times Cited: 15
Houde Dai, Jiaxin Wang, Yiyang Huang, et al.
Renewable Energy (2023) Vol. 222, pp. 119907-119907
Closed Access | Times Cited: 15
Showing 15 citing articles:
SOH estimation of lithium-ion batteries based on multi-feature deep fusion and XGBoost
Jing Sun, Chaoqun Fan, huiyi yan
Energy (2024) Vol. 306, pp. 132429-132429
Closed Access | Times Cited: 10
Jing Sun, Chaoqun Fan, huiyi yan
Energy (2024) Vol. 306, pp. 132429-132429
Closed Access | Times Cited: 10
Online two-dimensional filter for anti-interference aging features extraction to accurately predict the battery health
Fei Xia, Chao Tang, Jiajun Chen
Measurement (2024) Vol. 234, pp. 114758-114758
Closed Access | Times Cited: 8
Fei Xia, Chao Tang, Jiajun Chen
Measurement (2024) Vol. 234, pp. 114758-114758
Closed Access | Times Cited: 8
State of Health Estimation and Battery Management: A Review of Health Indicators, Models and Machine Learning
Mei Li, Wenting Xu, Shiwen Zhang, et al.
Materials (2025) Vol. 18, Iss. 1, pp. 145-145
Open Access
Mei Li, Wenting Xu, Shiwen Zhang, et al.
Materials (2025) Vol. 18, Iss. 1, pp. 145-145
Open Access
A Deep Learning Multi-Feature Based Fusion Model for Predicting the State of Health of Lithium-Ion Batteries
Ankit Sonthalia, Femilda Josephin JS, Edwin Geo Varuvel, et al.
Energy (2025), pp. 134569-134569
Closed Access
Ankit Sonthalia, Femilda Josephin JS, Edwin Geo Varuvel, et al.
Energy (2025), pp. 134569-134569
Closed Access
A review of feature extraction toward health state estimation of lithium-ion batteries
Qingwei Li, Wenli Xue
Journal of Energy Storage (2025) Vol. 112, pp. 115453-115453
Closed Access
Qingwei Li, Wenli Xue
Journal of Energy Storage (2025) Vol. 112, pp. 115453-115453
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
Kailing Li, Naiming Xie, Hui Li
Expert Systems with Applications (2025), pp. 126905-126905
Closed Access
Big data-driven prognostics and health management of lithium-ion batteries:A review
Kui Chen, Yang Luo, Zhou Long, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115522-115522
Closed Access
Kui Chen, Yang Luo, Zhou Long, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115522-115522
Closed Access
Innovative strategies for assessing battery health in electric vehicles
Yue Wang, Wei Li
Intelligent Decision Technologies (2025)
Closed Access
Yue Wang, Wei Li
Intelligent Decision Technologies (2025)
Closed Access
Enhanced vision-transformer integrating with semi-supervised transfer learning for state of health and remaining useful life estimation of lithium-ion batteries
Ya‐Xiong Wang, Shangyu Zhao, Shiquan Wang, et al.
Energy and AI (2024) Vol. 17, pp. 100405-100405
Open Access | Times Cited: 3
Ya‐Xiong Wang, Shangyu Zhao, Shiquan Wang, et al.
Energy and AI (2024) Vol. 17, pp. 100405-100405
Open Access | Times Cited: 3
Prediction of Lithium-Ion Battery State of Health Using a Deep Hybrid Kernel Extreme Learning Machine Optimized by the Improved Black-Winged Kite Algorithm
Juncheng Fu, Zhengxiang Song, Jinhao Meng, et al.
Batteries (2024) Vol. 10, Iss. 11, pp. 398-398
Open Access | Times Cited: 2
Juncheng Fu, Zhengxiang Song, Jinhao Meng, et al.
Batteries (2024) Vol. 10, Iss. 11, pp. 398-398
Open Access | Times Cited: 2
A Method for Estimating the SOH of Lithium-Ion Batteries Based on Graph Perceptual Neural Network
K.M. Chen, Dandan Wang, Wenwen Guo
Batteries (2024) Vol. 10, Iss. 9, pp. 326-326
Open Access
K.M. Chen, Dandan Wang, Wenwen Guo
Batteries (2024) Vol. 10, Iss. 9, pp. 326-326
Open Access
Improving electric vehicles sustainability: Accurate forecasting of lithium-ion battery health using machine learning models
Chao Yang, Zhihao Ye, Xin Xiong, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114280-114280
Closed Access
Chao Yang, Zhihao Ye, Xin Xiong, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114280-114280
Closed Access
Machine‐Learning‐Based Accurate Prediction of Vanadium Redox Flow Battery Temperature Rise Under Different Charge–Discharge Conditions
Debnath Narayan, Akshat Johar, Divye Kalra, et al.
Energy Storage (2024) Vol. 6, Iss. 8
Open Access
Debnath Narayan, Akshat Johar, Divye Kalra, et al.
Energy Storage (2024) Vol. 6, Iss. 8
Open Access
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
Capacity Prognostics of Marine Lithium-Ion Batteries Based on ICPO-Bi-LSTM Under Dynamic Operating Conditions
Qilei Song, Xiangguo Yang, Telu Tang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 12, pp. 2355-2355
Open Access
Qilei Song, Xiangguo Yang, Telu Tang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 12, pp. 2355-2355
Open Access
