Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 battery health indicator and PSO-LSSVR for LiFePO4 battery SOH estimation during constant current charging
Junxiong Chen, Yuanjiang Hu, Qiao Zhu, et al.
Energy (2023) Vol. 282, pp. 128782-128782
Closed Access | Times Cited: 26

Showing 1-25 of 26 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: 27
State of health prediction of lithium-ion batteries using particle swarm optimization with Levy flight and generalized opposition-based learning
Bide Zhang, Wei Liu, Yongxiang Cai, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110816-110816
Closed Access | Times Cited: 20
Hybrid approach for online capacity estimation of lithium-lon batteries: Integrating model-driven and data-driven methods
Xin Qiao, Zhixue Wang, Xianzheng Su, et al.
Journal of Energy Storage (2025) Vol. 113, pp. 115582-115582
Open Access | Times Cited: 1
Forest biomass carbon stock estimates via a novel approach: K-nearest neighbor-based weighted least squares multiple birth support vector regression coupled with whale optimization algorithm
Nianchun Deng, Riwei Xu, Ying Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110020-110020
Closed Access | Times Cited: 1
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
A novel fractional system grey prediction model with dynamic delay effect for evaluating the state of health of lithium battery
Siwei Wang, Xinping Xiao, Qi Ding
Energy (2023) Vol. 290, pp. 130057-130057
Closed Access | Times Cited: 20
End-to-end deep learning powered battery state of health estimation considering multi-neighboring incomplete charging data
Xin Xiong, Yujie Wang, Cong Jiang, et al.
Energy (2024) Vol. 292, pp. 130495-130495
Closed Access | Times Cited: 6
Technologies for Energy Storage Power Stations Safety Operation: Battery State Evaluation Survey and a Critical Analysis
Xiangyang Xia, J.T. Yue, Yuan Guo, et al.
IEEE Access (2024) Vol. 12, pp. 31334-31356
Open Access | Times Cited: 5
Enhanced multi-constraint dung beetle optimization-kernel extreme learning machine for lithium-ion battery state of health estimation with adaptive enhancement ability
Daijiang Mo, Shunli Wang, Yongcun Fan, et al.
Energy (2024) Vol. 307, pp. 132723-132723
Closed Access | Times Cited: 5
A decade of machine learning in lithium-ion battery state estimation: a systematic review
Zaina Al-Hashimi, Taha Khamis, Mouaz Al Kouzbary, et al.
Ionics (2025) Vol. 31, Iss. 3, pp. 2351-2377
Closed Access
Comparative analysis of data-driven electric vehicle battery health models across different operating conditions
Roushan Kumar, Kaushik Das, Anurup Krishna
Energy (2024) Vol. 309, pp. 133155-133155
Closed Access | Times Cited: 4
Rough Estimation and Error Compensation: Empirical-Data-Driven Lightweight State of Health Estimation for Lithium-Ion Batteries
Pengya Fang, Anhao Zhang, Han Zhang, et al.
(2025)
Closed Access
Battery state-of-health estimation based on random charge curve fitting and broad learning system with attention mechanism
Houde Dai, Yiyang Huang, L. Zhu, et al.
Journal of Power Sources (2025) Vol. 636, pp. 236544-236544
Closed Access
Enhanced State of Health Prediction for Lithium-Ion Batteries Using a Hybrid Convolutional–Kolmogorov–Arnold Network
Yunxian Cui, Y.T. Feng
International Journal of Electrochemical Science (2025), pp. 101008-101008
Open Access
State-of-Health Estimation of Lithium-ion Batteries Based on Singular Value Decomposition and an Improved Group Method of Data Handling
Junhong Li, G. Bai, Jun Yan, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 1, pp. 010525-010525
Closed Access | Times Cited: 3
State of Health Estimation for Lithium-Ion Batteries Based on Transferable Long Short-Term Memory Optimized Using Harris Hawk Algorithm
Guangyi Yang, Xianglin Wang, Ran Li, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6316-6316
Open Access | Times Cited: 2
Integrated Mixed Attention U-Net Mechanisms with Multi-Stage Division Strategy Customized for Accurate Estimation of Lithium-Ion Battery State of Health
Xinyu Fan, Xuxu Yang, Feifei Hou
Electronics (2024) Vol. 13, Iss. 16, pp. 3244-3244
Open Access | Times Cited: 1
Battery state of health estimation using an AutoGluon-tabular model incorporating uncertainty quantification
Xiaoyuan Zhang, Mengnan Liu, Yingying Liu
Journal of Energy Storage (2024) Vol. 101, pp. 113920-113920
Closed Access | Times Cited: 1
An efficient state-of-health estimation method for lithium-ion batteries based on feature-importance ranking strategy and hybrid kernel extreme learning machine algorithm
Songhao Yang, Hongwu Qin, Zhenqi Liu, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114260-114260
Closed Access | Times Cited: 1
Improved PSO-TCN model for SOH estimation based on accelerated aging test for large capacity energy storage batteries
Peiwen Yu, C Zhou, Yajuan Yu, et al.
Journal of Energy Storage (2024) Vol. 108, pp. 115031-115031
Closed Access | Times Cited: 1
Soh Estimation of Lithium-Ion Batteries Based on Multi-Feature Deep Fusion and Xgboost
Jing Sun, Chaoqun Fan, huiyi yan
(2024)
Closed Access
State of Health Estimation for Lithium-Ion Battery Based on Sample Transfer Learning under Current Pulse Test
Yuanyuan Li, Xinrong Huang, Jinhao Meng, et al.
Batteries (2024) Vol. 10, Iss. 5, pp. 156-156
Open Access
Battery State-of-Health Estimation Based on Random Charge Curve Fitting and Broad Learning System with Attention Mechanism
Houde Dai, Yiyang Huang, L. Zhu, et al.
(2024)
Closed Access
The aging pattern of lithium-ion batteries based on experiments at different temperatures
Yugang Cui, Xiao Wang, Shibo Zou, et al.
Journal of Physics Conference Series (2024) Vol. 2788, Iss. 1, pp. 012042-012042
Open Access
Strong robust state of health estimation of lithium-ion batteries based on aging feature mechanism analysis and improved mixed kernel least squares support vector regression model
Renjun Feng, Shunli Wang, Chunmei Yu, et al.
Ionics (2024)
Closed Access
Page 1 - Next Page

Scroll to top