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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:

Data-driven state-of-health estimation for lithium-ion battery based on aging features
Xining Li, Lingling Ju, Guangchao Geng, et al.
Energy (2023) Vol. 274, pp. 127378-127378
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

State of health estimation method for lithium-ion batteries based on multiple dynamic operating conditions
Quanqing Yu, Yuwei Nie, Shizhuo Liu, et al.
Journal of Power Sources (2023) Vol. 582, pp. 233541-233541
Closed Access | Times Cited: 66
Battery state of health estimation under dynamic operations with physics-driven deep learning
Aihua Tang, Yuchen Xu, Yuanzhi Hu, et al.
Applied Energy (2024) Vol. 370, pp. 123632-123632
Closed Access | Times Cited: 25
Machine learning enables rapid state of health estimation of each cell within battery pack
Quanqing Yu, Yuwei Nie, Shanshan Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124165-124165
Closed Access | Times Cited: 15
Lithium battery remaining useful life prediction using VMD fusion with attention mechanism and TCN
Guang Wang, Longfei Sun, Anjie Wang, et al.
Journal of Energy Storage (2024) Vol. 93, pp. 112330-112330
Closed Access | Times Cited: 11
A novel data-driven method for online parameter identification of an electrochemical model based on cuckoo search and particle swarm optimization algorithm
Shengxu Huang, Ni Lin, Zhenpo Wang, et al.
Journal of Power Sources (2024) Vol. 601, pp. 234261-234261
Closed Access | Times Cited: 10
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: 9
Remaining useful life prediction of lithium-ion batteries by considering trend filtering segmentation under fuzzy information granulation
Guangshu Xia, Chenyu Jia, Yuanhao Shi, et al.
Energy (2025), pp. 134810-134810
Closed Access | Times Cited: 1
Fast EIS acquisition method based on SSA-DNN prediction model
Chun Chang, Yaliang Pan, Shaojin Wang, et al.
Energy (2023) Vol. 288, pp. 129768-129768
Closed Access | Times Cited: 17
Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries
Jingsong Xue, Wentao Ma, Xiaoyang Feng, et al.
Energy (2023) Vol. 284, pp. 129279-129279
Closed Access | Times Cited: 16
Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries
Ran Xiong, Shunli Wang, Qi Huang, et al.
Energy (2024) Vol. 292, pp. 130594-130594
Closed Access | Times Cited: 7
State-of-charge estimation for lithium-ion batteries based on modified unscented Kalman filter using improved parameter identification
Bin Yao, Yongxiang Cai, Wei Liu, et al.
International Journal of Electrochemical Science (2024) Vol. 19, Iss. 5, pp. 100574-100574
Open Access | Times Cited: 7
Cross-material battery capacity estimation using hybrid-model fusion transfer learning
Jingyuan Zhao, Xudong Qu, Xuebing Han, et al.
Journal of Power Sources (2024) Vol. 625, pp. 235674-235674
Closed Access | Times Cited: 7
A State-of-Health Estimation Method for Lithium Batteries Based on Fennec Fox Optimization Algorithm–Mixed Extreme Learning Machine
C. R. Sun, Wenhu Qin, Zhonghua Yun
Batteries (2024) Vol. 10, Iss. 3, pp. 87-87
Open Access | Times Cited: 6
A Novel State-of-Health Prediction and Assessment Strategies for High-Capacity Mining Lithium-Ion Batteries Based on Multi-Indicator
Juqiang Feng, Feng Cai, Xinju Zhan, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 5, pp. 050514-050514
Closed Access | Times Cited: 6
An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition
Tao Zhu, Shunli Wang, Yongcun Fan, et al.
Energy (2024) Vol. 306, pp. 132464-132464
Closed Access | Times Cited: 6
Safety Performance and Failure Criteria of Lithium-Ion Batteries under Mechanical Abuse
Genwei Wang, Xuanfu Guo, Jingyi Chen, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6346-6346
Open Access | Times Cited: 14
Towards real-world state of health estimation: Part 1, cell-level method using lithium-ion battery laboratory data
Yufang Lu, Jiazhen Lin, Dongxu Guo, et al.
eTransportation (2024) Vol. 21, pp. 100338-100338
Closed Access | Times Cited: 5
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: 5
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
A Hybrid Technique for Estimating the State of Health of Lithium‐Ion Batteries
Manjunatha Babu Pattabhi, Ozwin Dominic Dsouza, G. Shilpa
Optimal Control Applications and Methods (2025)
Closed Access
Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles
Daniela Galatro, Manohar Shroff, Cristina H. Amon
Batteries (2025) Vol. 11, Iss. 1, pp. 21-21
Open Access
Deep learning model-based real-time state-of-health estimation of lithium-ion batteries under dynamic operating conditions
Telu Tang, Xiangguo Yang, Muheng Li, et al.
Energy (2025), pp. 134697-134697
Closed Access
A state of health estimation method for lithium-ion batteries based on initial charging segment and Gated Recurrent Unit neural network
Yu Xie, Kai Luo, Longyu Zheng, et al.
Journal of Power Sources (2025) Vol. 638, pp. 236607-236607
Closed Access
A novel ensemble learning model for state of health estimation of lithium-ion batteries
Chunhua Zeng, Cheng Xu, Haomiao Li, et al.
Journal of Power Sources (2025) Vol. 638, pp. 236608-236608
Closed Access
Temperature prediction of lithium-ion battery based on adaptive GRU transfer learning framework considering thermal effects decomposition characteristics
Fei Ren, Naxin Cui, Lu Dong, et al.
Energy (2025), pp. 135504-135504
Closed Access
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