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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 prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer
Chenyu Jia, Yukai Tian, Yuanhao Shi, et al.
Energy (2023) Vol. 285, pp. 129401-129401
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Lithium-ion battery SOH prediction based on VMD-PE and improved DBO optimized temporal convolutional network model
Juncheng Fu, Chunling Wu, Jiwei Wang, et al.
Journal of Energy Storage (2024) Vol. 87, pp. 111392-111392
Closed Access | Times Cited: 19
Adversarial Training Defense Strategy for Lithium-ion Batteries State of Health Estimation with Deep Learning
Kun Zheng, Yijing Li, Zhipeng Yang, et al.
Energy (2025), pp. 134411-134411
Closed Access | Times Cited: 1
State of health estimation for Lithium-ion batteries based on novel feature extraction and BiGRU-Attention model
Sun Rongli, Junsheng Chen, Benchuan Li, et al.
Energy (2025), pp. 134756-134756
Closed Access | Times Cited: 1
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
Precise modeling of lithium-ion battery in industrial applications using Walrus optimization algorithm
H.M.A. Fahmy, Ayedh H. Alqahtani, Hany M. Hasanien
Energy (2024) Vol. 294, pp. 130859-130859
Closed Access | Times Cited: 13
Specialized Convolutional Transformer Networks for Estimating Battery Health via Transfer Learning
Jingyuan Zhao, Zhenghong Wang
Energy storage materials (2024) Vol. 71, pp. 103668-103668
Closed Access | Times Cited: 10
Parameters estimation and sensitivity analysis of lithium-ion battery model uncertainty based on osprey optimization algorithm
Ayedh H. Alqahtani, H.M.A. Fahmy, Hany M. Hasanien, et al.
Energy (2024) Vol. 304, pp. 132204-132204
Closed Access | Times Cited: 8
State Estimation of Lithium-ion Battery for Shipboard Applications: Key Challenges and Future Trends
Laiqiang Kong, Yingbing Luo, Sidun Fang, et al.
Green Energy and Intelligent Transportation (2024), pp. 100192-100192
Open Access | Times Cited: 5
Battery degradation evaluation based on impedance spectra using a limited number of voltage-capacity curves
Yue Sun, Rui Xiong, Xiangfeng Meng, et al.
eTransportation (2024) Vol. 22, pp. 100347-100347
Closed 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
State of health estimation of lithium-ion battery during fast charging process based on BiLSTM-Transformer
Ziyang Li, Xiangwen Zhang, Wei Gao
Energy (2024) Vol. 311, pp. 133418-133418
Closed Access | Times Cited: 5
A physics-enhanced online joint estimation method for SOH and SOC of lithium-ion batteries in eVTOL aircraft applications
Fusheng Jiang, Yi Ren, Ting Tang, et al.
Journal of Energy Storage (2025) Vol. 112, pp. 115567-115567
Closed Access
CTBANet: A new method for state of health estimation of lithium-ion batteries
Qinglin Zhu, Xiangfeng Zeng, Zhongren Wang, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116134-116134
Closed Access
Refined lithium-ion battery state of health estimation with charging segment adjustment
Kun Zheng, Jinhao Meng, Zhipeng Yang, et al.
Applied Energy (2024) Vol. 375, pp. 124077-124077
Closed Access | Times Cited: 4
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
Predicting the catastrophic failure of bulk metallic glasses based on time-series prediction models
Huohong Tang, Nianhuan Li, Xuebin Li, et al.
Journal of Non-Crystalline Solids (2025) Vol. 652, pp. 123406-123406
Closed Access
Few-shot fault diagnosis for lithium-ion battery packs based on a novel AVMDR-IDRSN model
Xiujuan Zheng, Wen‐Bo Liu, Huaiyu Wu
Measurement (2025), pp. 116648-116648
Closed Access
Artificial Intelligence-Driven Electric Vehicle Battery Lifetime Diagnostics
Jingyuan Zhao, Andrew Burke
IntechOpen eBooks (2025)
Closed Access
A Novel Construction Method and Prediction Framework of Periodic Time Series: Application to State of Health Prediction of Lithium-Ion Batteries
Chunsheng Cui, Guangshu Xia, Chenyu Jia, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1438-1438
Open Access
A multi-forward-step lithium-ion battery SOH prediction method based on segmented gated recurrent unit and DualMamba
Dewen Wang, Chenghao Li, Zihe Wei, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116136-116136
Closed Access
Deep Learning for State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles: A Systematic Review
Chenyuan Liu, Heng Li, Kexin Li, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1463-1463
Open Access
Efficient Hybrid Deep Learning Model for Battery State of Health Estimation Using Transfer Learning
Jinling Ren, Muqing Cai, Dapai Shi
Energies (2025) Vol. 18, Iss. 6, pp. 1491-1491
Open Access
Confidence-aware Quantile Transformer for reliable degradation prediction of battery energy storage systems
Rui Wu, Jinpeng Tian, Jiachi Yao, et al.
Reliability Engineering & System Safety (2025), pp. 111019-111019
Closed Access
Lithium-ion battery health state estimation based on improved snow ablation optimization algorithm-deep hybrid kernel extreme learning machine
Yonggang Wang, Yadong Yu, Y. Ma, et al.
Energy (2025), pp. 135772-135772
Closed Access
A Deep Learning Model for Predicting the State of Energy in Lithium-Ion Batteries Based on Magnetic Field Effects
Guanqiang Ruan, Zixi Liu, Junfang Cheng, et al.
Energy (2024) Vol. 304, pp. 132161-132161
Closed Access | Times Cited: 3
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