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:

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

Showing 25 citing articles:

State-of-health estimation and knee point identification of lithium-ion battery based on data-driven and mechanism model
Yulong Ni, Kai Song, Lei Pei, et al.
Applied Energy (2025) Vol. 385, pp. 125539-125539
Closed Access | Times Cited: 1

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

State of Health Estimation of Lithium-Ion Batteries Based on Feature Optimization and Data-Driven Models
G. G. Mu, Qingguo Wei, Yonghong Xu, et al.
Energy (2025), pp. 134578-134578
Closed Access

A systematic approach for determining the optimal battery preheating cut-off temperature for electric vehicles operating in cold climates
Zhenyi Tao, C.-T Lin, Yu Tian, et al.
Applied Energy (2025) Vol. 383, pp. 125308-125308
Closed Access

Correlation Analysis of Automotive Battery State-of-Health Indicators for Advanced Battery Management Systems
Thomas Long, Haifang Shang, Xiaoqi Liu, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2025) Vol. 1
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 estimation for lithium-ion batteries based on fragmented charging data and improved gated recurrent unit neural network
Zheng Chen, Peng Yue, Jiangwei Shen, et al.
Journal of Energy Storage (2025) Vol. 115, pp. 115952-115952
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

Capacity Estimation for Lithium-ion Batteries Based on Heterogeneous Stacking Model with Feature Fusion.
G. G. Mu, Qingguo Wei, Yonghong Xu, et al.
Energy (2024), pp. 133881-133881
Closed Access | Times Cited: 3

Advanced State-of-Health Estimation for Lithium-Ion Batteries Using Multi-Feature Fusion and KAN-LSTM Hybrid Model
Zhao Zhang, Runrun Zhang, Xin Liu, et al.
Batteries (2024) Vol. 10, Iss. 12, pp. 433-433
Open Access | Times Cited: 3

State of power prediction joint fisher optimal segmentation and PO-BP neural network for a parallel battery pack considering cell inconsistency
Simin Peng, Shengdong Chen, Yong Liu, et al.
Applied Energy (2024) Vol. 381, pp. 125130-125130
Closed Access | Times Cited: 3

Analysis of Grid-Scale Photovoltaic Plants Incorporating Battery Storage with Daily Constant Setpoints
Juan A. Tejero-Gómez, Ángel A. Bayod-Rújula
Energies (2024) Vol. 17, Iss. 23, pp. 6117-6117
Open Access | Times Cited: 1

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: 1

Joint estimation of SOC and peak power capability for series reused battery pack based on screening process method
Yujie Zhang, Baicheng Liu, Hongguang Zhang, et al.
Energy (2024), pp. 133940-133940
Closed Access | Times Cited: 1

AM-MFF: A multi-feature fusion framework based on attention mechanism for robust and interpretable lithium-ion battery state of health estimation
Sizhe Chen, Jing Liu, Haoliang Yuan, et al.
Applied Energy (2024) Vol. 381, pp. 125116-125116
Closed Access | Times Cited: 1

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

State of Health Estimation for Lithium-Ion Batteries Based on Fusion Health Features and Adaboost-GWO-BP Model
Tong Liang, Yiyang Li, Bin He, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 11, pp. 110528-110528
Closed Access

Early perception of Lithium-ion battery degradation trajectory with graphical features and deep learning
Haichuan Zhao, Jinhao Meng, Qiao Peng
Applied Energy (2024) Vol. 381, pp. 125214-125214
Closed Access

Simulation Study on Factors Affecting the Output Voltage of Extended-Range Electric Vehicle Power Batteries
Xiaodong Wang, Bin Zhang, E Jiaqiang, et al.
Processes (2024) Vol. 12, Iss. 10, pp. 2195-2195
Open Access

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