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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:

State of health estimation for lithium-ion battery based on particle swarm optimization algorithm and extreme learning machine
Kui Chen, Jiali Li, Kai Liu, et al.
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 1, pp. 100151-100151
Open Access | Times Cited: 24

Showing 24 citing articles:

SOH early prediction of lithium-ion batteries based on voltage interval selection and features fusion
Simin Peng, Junchao Zhu, Tiezhou Wu, et al.
Energy (2024) Vol. 308, pp. 132993-132993
Closed Access | Times Cited: 25
Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems
Ismail Elabbassi, Mohamed Khala, Naima Elyanboiy, et al.
Results in Engineering (2024) Vol. 21, pp. 101888-101888
Open Access | Times Cited: 13
Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer
Weijie Tang, Jiayan Chen, Dongjiao Chen
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Methods for state of health estimation for lithium-ion batteries: An essential review
Houda Rhdifa, Abderazzak Ammar, Omar Bouattane
E3S Web of Conferences (2025) Vol. 601, pp. 00071-00071
Open Access
An estimation framework for battery pack state of health based on real vehicle charging and discharging features
Zhigang He, Xingyu Ji, Ding Hua, et al.
Journal of Power Sources (2025) Vol. 631, pp. 236235-236235
Closed Access
A semi-supervised learning strategy for lithium-ion battery capacity estimation with limited impedance data
Yan Li, Zi He, Min Ye, et al.
Energy (2025), pp. 135129-135129
Closed Access
State-of-Health Prediction of Lithium-Ion Batteries Using Feature Fusion and a Hybrid Neural Network Model
Yang Li, Guoqiang Gao, Kui Chen, et al.
Energy (2025), pp. 135163-135163
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
State of Health Prediction of Lithium Battery Based on Long Short-Term Memory Network Combined with Attention Mechanism and Adam Algorithm
S. J. Zhao, Wenfei Tang, Cong Xu
Lecture notes in electrical engineering (2025), pp. 753-762
Closed Access
Multi-State Joint Prediction Algorithm for Lithium Battery Packs Based on Data-Driven and Physical Models
Jiahao Zhang, J.H. Chen, Daqian Wang, et al.
Energy (2025), pp. 135641-135641
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
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Neural Network and Adaptive Unscented Kalman Filter
Lingtao Wu, Wenhao Guo, Yuben Tang, et al.
Electronics (2024) Vol. 13, Iss. 13, pp. 2619-2619
Open Access | Times Cited: 3
Lithium-ion battery future degradation trajectory early description amid data-driven end-of-life point and knee point co-prediction
Ganglin Cao, Jingjing Yao, S.-L. Chen, et al.
Journal of Cleaner Production (2024), pp. 143900-143900
Closed Access | Times Cited: 2
Lithium-Ion Battery Capacity Prediction Method Based on Improved Extreme Learning Machine
Zhengyu Liu, Zaijun Huang, Liandong Tang, et al.
Journal of Electrochemical Energy Conversion and Storage (2024) Vol. 22, Iss. 1
Closed Access | Times Cited: 2
Improved Deep Extreme Learning Machine for State of Health Estimation of Lithium-Ion Battery
Yan Chen, Junli Meng, Shunyang Ming, et al.
International Journal of Energy Research (2024) Vol. 2024, pp. 1-22
Open Access | Times Cited: 2
Model-Free Detection and Quantitative Assessment of Micro Short Circuits in Lithium-Ion Battery Packs Based on Incremental Capacity and Unsupervised Clustering
Da Lei, Meng Zhang, Qiang Guo, et al.
International Journal of Electrochemical Science (2024), pp. 100794-100794
Open Access | Times Cited: 1
Battery Remaining Useful Life Estimation based on Particle Swarm Optimization-Neural Network
Zuriani Mustaffa, Mohd Herwan Sulaiman
Cleaner Energy Systems (2024), pp. 100151-100151
Open Access | Times Cited: 1
Model‐driven Manufacturing of High‐Energy‐Density Batteries: A Review
Daria Maksimovna Vakhrusheva, Jun Xu
Batteries & Supercaps (2024)
Open Access | Times Cited: 1
A Co-Estimation Framework of State of Health and Remaining Useful Life for Lithium-ion Batteries using the Semi-supervised Learning Algorithm
Xiaoyu Li, Mohan Lyv, Xiao Gao, et al.
Energy and AI (2024), pp. 100458-100458
Open Access | Times Cited: 1
High-precision state of charge estimation of electric vehicle lithium-ion battery energy storage system based on multi-scale optimized time-varying bounded smoothing variable structure filtering algorithm
Fan Wu, Shunli Wang, Donglei Liu, et al.
Ionics (2024) Vol. 30, Iss. 9, pp. 5429-5447
Closed Access
State of charge and state of health estimation of a lithium-ion battery for electric vehicles: A review
Nouhaila Belmajdoub, Rachid Lajouad, Abdelmounime El Magri, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 13, pp. 460-465
Open Access
State of health estimation method for Lithium-ion batteries based on multi-feature fusion and BO-BiGRU model
Junchao Zhu, Jun Zhang, Jian Kang, et al.
Journal of Electrochemical Energy Conversion and Storage (2024) Vol. 22, Iss. 4
Closed Access
A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering
X. X. Shen, Shunli Wang, Chunmei Yu, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 6197-6213
Closed Access
Robust estimation of lithium-ion battery state of health based on electro-thermal features and machine learning
Kui Chen, Yang Luo, Zhou Long, et al.
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy (2024)
Closed Access
Health state estimation of lithium-ion batteries based on improved whale algorithm optimized nuclear limit learning machine
Shiwei Liu, Sheng Xue, Z. Li
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2023), pp. 238-244
Closed Access
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