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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:

Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects
Molla Shahadat Hossain Lipu, Shaheer Ansari, Md. Sazal Miah, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105752-105752
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Recent advances in urban green energy development towards carbon emissions neutrality
Kok Sin Woon, Zhen Xin Phuang, Jan Taler, et al.
Energy (2022) Vol. 267, pp. 126502-126502
Closed Access | Times Cited: 128
An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries
Huanwei Xu, Lingfeng Wu, Shizhe Xiong, et al.
Energy (2023) Vol. 276, pp. 127585-127585
Closed Access | Times Cited: 125
Intelligent estimation on state of health of lithium-ion power batteries based on failure feature extraction
Hongyan Zuo, Jingwei Liang, Bin Zhang, et al.
Energy (2023) Vol. 282, pp. 128794-128794
Closed Access | Times Cited: 52
A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application
Turki Alsuwian, Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123123-123123
Closed Access | Times Cited: 33
Unsupervised dynamic prognostics for abnormal degradation of lithium-ion battery
Cong Wang, Yunxia Chen
Applied Energy (2024) Vol. 365, pp. 123280-123280
Closed Access | Times Cited: 30
Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, and outstanding issues
M. S. Reza, M. Mannan, Muhamad Mansor, et al.
Energy Reports (2024) Vol. 11, pp. 4824-4848
Open Access | Times Cited: 20
Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
Muhammed Cavus, Dilum Dissanayake, MC Bell
Energies (2025) Vol. 18, Iss. 5, pp. 1041-1041
Open Access | Times Cited: 2
A Generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data
Weikun Deng, Hung Lê, Khanh T.P. Nguyen, et al.
Applied Energy (2025) Vol. 384, pp. 125314-125314
Closed Access | Times Cited: 1
A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles
Mostafa M. Shibl, Loay Ismail, Ahmed Massoud
Journal of Energy Storage (2023) Vol. 66, pp. 107380-107380
Closed Access | Times Cited: 33
State of health estimation of lithium-ion batteries based on equivalent circuit model and data-driven method
Liping Chen, Xinyuan Bao, António M. Lopes, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109195-109195
Closed Access | Times Cited: 33
Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network
Aihua Tang, Yihan Jiang, Yuwei Nie, et al.
Energy (2023) Vol. 279, pp. 128137-128137
Closed Access | Times Cited: 26
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
Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries
Fujin Wang, Zhi Zhai, Bingchen Liu, et al.
Journal of Energy Storage (2023) Vol. 77, pp. 109884-109884
Closed Access | Times Cited: 23
TTSNet: State-of-Charge Estimation of Li-Ion Battery in Electrical Vehicles With Temporal Transformer-Based Sequence Network
Zhengyi Bao, Jiahao Nie, Huipin Lin, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 6, pp. 7838-7851
Closed Access | Times Cited: 13
Battery State-of-Health Estimation: A Step towards Battery Digital Twins
Vahid Safavi, Najmeh Bazmohammadi, Juan C. Vásquez, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 587-587
Open Access | Times Cited: 12
A Review of the Technical Challenges and Solutions in Maximising the Potential Use of Second Life Batteries from Electric Vehicles
Farhad Salek, Shahaboddin Resalati, Meisam Babaie, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 79-79
Open Access | Times Cited: 12
Recent Advances in Thermal Management Strategies for Lithium-Ion Batteries: A Comprehensive Review
Yadyra Ortiz, Paúl Arévalo, Diego Patricio Peña Banegas, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 83-83
Open Access | Times Cited: 10
Understanding Lithium-Ion Battery Management Systems in Electric Vehicles: Environmental and Health Impacts, Comparative Study, and Future Trends: A Review
R. Suganya, L. M. I. Leo Joseph, Sreedhar Kollem
Results in Engineering (2024), pp. 103047-103047
Open Access | Times Cited: 10
Enhanced state-of-charge and state-of-health estimation of lithium-ion battery incorporating machine learning and swarm intelligence algorithm
Chengchao Wang, Yingying Su, Jinlu Ye, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110755-110755
Closed Access | Times Cited: 8
Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions
Molla Shahadat Hossain Lipu, M. Rahman, Muhamad Mansor, et al.
Journal of Energy Storage (2024) Vol. 92, pp. 112107-112107
Closed Access | Times Cited: 8
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
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
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: 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
Integrated Extended Kalman Filter and Deep Learning Platform for Electric Vehicle Battery Health Prediction
David Chunhu Li, Javio Renja Felix, Y.–K. Chin, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4354-4354
Open Access | Times Cited: 5
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