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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:

HFCM-LSTM: A novel hybrid framework for state-of-health estimation of lithium-ion battery
Mingyu Gao, Zhengyi Bao, Chunxiang Zhu, et al.
Energy Reports (2023) Vol. 9, pp. 2577-2590
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

State of the Art in Electric Batteries’ State-of-Health (SoH) Estimation with Machine Learning: A Review
Giovane Ronei Sylvestrin, Joylan Nunes Maciel, Márcio Luís Munhoz Amorim, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 746-746
Open Access | Times Cited: 1
An end-cloud collaboration approach for online state-of-health estimation of lithium-ion batteries based on multi-feature and transformer
Wentao Wang, Kaiyi Yang, Lisheng Zhang, et al.
Journal of Power Sources (2024) Vol. 608, pp. 234669-234669
Closed Access | Times Cited: 12
Recurrent Neural Networks for Estimating the State of Health of Lithium-Ion Batteries
RAFAEL SAADI DANTAS TEIXEIRA, Rodrigo Flora Calili, Maria Fatima Ludovico de Almeida, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 111-111
Open Access | Times Cited: 10
Optimal parameter identification strategy applied to lithium-ion battery model for electric vehicles using drive cycle data
Houssam Eddine Ghadbane, Hegazy Rezk, Seydali Ferahtia, et al.
Energy Reports (2024) Vol. 11, pp. 2049-2058
Open Access | Times Cited: 9
Full-process electric vehicles battery state of health estimation based on Informer novel model
Zhigang He, Xianggan Ni, Chaofeng Pan, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108626-108626
Closed Access | Times Cited: 18
An end-cloud collaboration approach for state-of-health estimation of lithium-ion batteries based on bi-LSTM with collaboration of multi-feature and attention mechanism
Pengchang Jiang, Tianyi Zhang, Guangjie Huang, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 10, pp. 2205-2217
Open Access | Times Cited: 5
A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems
Junjie Tao, Shunli Wang, Wen Cao, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 5903-5927
Closed Access | Times Cited: 5
State of Health Estimation for Lithium-Ion Batteries with Deep Learning Approach and Direct Current Internal Resistance
Zhongxian Sun, Weilin He, Junlei Wang, et al.
Energies (2024) Vol. 17, Iss. 11, pp. 2487-2487
Open 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 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: 4
State-of-health estimation for lithium-ion batteries under complex charging conditions based on SDE-BiLSTM model
Xiao Yu, Tianqi Tang, Zhichao Song, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115352-115352
Closed 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
Advanced health state intelligent diagnosis of lithium-ion batteries based on CNN-WNN-WBiLSTM model with attention mechanism
Walid Mchara, Mohamed Abdellatif Khalfa, Lazhar Manai
Automatika (2025) Vol. 66, Iss. 2, pp. 154-173
Open Access
A multiple aging factor interactive learning framework for lithium-ion battery state-of-health estimation
Zhengyi Bao, Tingting Luo, Mingyu Gao, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110388-110388
Closed Access
Prediction of Battery SOH and RUL Based on Cooperative Characteristics in Voltage-Temperature-Time Dimensions
Ruoli Tang, Peng Zhang, Siwen Ning, et al.
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 6, pp. 060535-060535
Closed Access | Times Cited: 11
Lithium-ion battery state of health estimation method based on variational quantum algorithm optimized stacking strategy
Longze Wang, Siyu Jiang, Yuteng Mao, et al.
Energy Reports (2024) Vol. 11, pp. 2877-2891
Open Access | Times Cited: 3
Edge–cloud collaborative estimation lithium-ion battery SOH based on MEWOA-VMD and Transformer
Yuan Chen, Xiaohe Huang, Yigang He, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113388-113388
Closed Access | Times Cited: 3
State of Health Prediction in Electric Vehicle Batteries Using a Deep Learning Model
Raid Mohsen Alhazmi
World Electric Vehicle Journal (2024) Vol. 15, Iss. 9, pp. 385-385
Open Access | Times Cited: 3
A general multi-source ensemble transfer learning framework for health prognostic of lithium-ion batteries
Xianghui Qiu, Wentao Yan, Shuangfeng Wang, et al.
Applied Energy (2024) Vol. 376, pp. 124245-124245
Closed Access | Times Cited: 2
A forecasting method for corrected numerical weather prediction precipitation based on modal decomposition and coupling of multiple intelligent algorithms
Changqing Meng, Zhihan Hu, Yuankun Wang, et al.
Meteorology and Atmospheric Physics (2024) Vol. 136, Iss. 5
Closed Access | Times Cited: 2
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: 2
An improved sliding window - long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics
Shunli Wang, Paul Takyi‐Aninakwa, Siyu Jin, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 108038-108038
Open Access | Times Cited: 5
Spatial-temporal Attention-Based Time Series Prediction Network for Lithium Battery Remaining Useful Life Estimation
Zhengyi Bao, Huipin Lin, Siwei Guan, et al.
(2024), pp. 91-94
Closed Access | Times Cited: 1
State-of-health estimation for lithium-ion batteries based on Bi-LSTM-AM and LLE feature extraction
Wentao Wang, Gaoyuan Yang, Muxi Li, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 2
Long‐Term Estimation of SoH Using Cascaded LSTM‐RNN for Lithium Batteries Subjected to Aging and Accelerated Degradation
Y. K. Bharath, V. P. Anandu, U. Vinatha, et al.
Energy Storage (2024) Vol. 6, Iss. 8
Closed Access
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