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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:

Lithium-ion battery data and where to find it
Gonçalo dos Reis, Calum Strange, Mohit Yadav, et al.
Energy and AI (2021) Vol. 5, pp. 100081-100081
Open Access | Times Cited: 247

Showing 26-50 of 247 citing articles:

Li-ion battery degradation modes diagnosis via Convolutional Neural Networks
Nahuel Costa, Luciano Sánchez, David Anseán, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105558-105558
Open Access | Times Cited: 45
Lithium-Ion Battery Estimation in Online Framework Using Extreme Gradient Boosting Machine Learning Approach
Sadiqa Jafari, Zeinab Shahbazi, Yung-Cheol Byun, et al.
Mathematics (2022) Vol. 10, Iss. 6, pp. 888-888
Open Access | Times Cited: 44
Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization
Liqianyun Xu, Feng Wu, Renjie Chen, et al.
Energy storage materials (2023) Vol. 59, pp. 102785-102785
Closed Access | Times Cited: 39
Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning
Shengyu Tao, Haizhou Liu, Chongbo Sun, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 38
Advancements in Artificial Neural Networks for health management of energy storage lithium-ion batteries: A comprehensive review
Yuntao Zou, Zihui Lin, Dagang Li, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109069-109069
Closed Access | Times Cited: 37
Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Sahar Khaleghi, Md Sazzad Hosen, Joeri Van Mierlo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114224-114224
Closed Access | Times Cited: 34
Best practices for life cycle assessment of batteries
Jens F. Peters
Nature Sustainability (2023) Vol. 6, Iss. 6, pp. 614-616
Closed Access | Times Cited: 33
A Convolutional Neural Network for Estimation of Lithium-Ion Battery State-of-Health during Constant Current Operation
Junran Chen, Manjula Manivanan, Josimar Duque, et al.
(2023)
Closed Access | Times Cited: 33
A review on data-driven SOC estimation with Li-Ion batteries: Implementation methods & future aspirations
Simari Guillermo R., Chandrashekhar Badachi, Robert Green
Journal of Energy Storage (2023) Vol. 72, pp. 108420-108420
Closed Access | Times Cited: 33
Data-Driven Methods for Predicting the State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review
Eunsong Kim, Minseon Kim, Juo Kim, et al.
International Journal of Precision Engineering and Manufacturing (2023) Vol. 24, Iss. 7, pp. 1281-1304
Closed Access | Times Cited: 32
A battery dataset for electric vertical takeoff and landing aircraft
Alexander Bills, Shashank Sripad, William Leif Fredericks, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 31
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Ke Xue, Jun Yang, Ming Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Closed Access | Times Cited: 30
Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review
Shicong Ding, Yiding Li, Haifeng Dai, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 39
Open Access | Times Cited: 30
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
Bayesian Hyperparameter Optimization of stacked Bidirectional Long Short-Term Memory neural network for the State of Charge estimation
Panagiotis Eleftheriadis, Sonia Leva, Emanuèle Ogliari
Sustainable Energy Grids and Networks (2023) Vol. 36, pp. 101160-101160
Open Access | Times Cited: 24
Machine learning promotes the development of all-solid-state batteries
Yong Qiu, Xu Zhang, Yun Tian, et al.
Chinese Journal of Structural Chemistry (2023) Vol. 42, Iss. 9, pp. 100118-100118
Closed Access | Times Cited: 23
Selecting the appropriate features in battery lifetime predictions
Alexis Geslin, Bruis van Vlijmen, Xiao Cui, et al.
Joule (2023) Vol. 7, Iss. 9, pp. 1956-1965
Open Access | Times Cited: 22
Battery health diagnostics: Bridging the gap between academia and industry
Zhenghong Wang, Dapai Shi, Jingyuan Zhao, et al.
eTransportation (2023) Vol. 19, pp. 100309-100309
Closed Access | Times Cited: 21
Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects
Shanling Ji, Jianxiong Zhu, Yaxin Yang, et al.
Small Methods (2024) Vol. 8, Iss. 7
Closed Access | Times Cited: 13
Predicting battery lifetime under varying usage conditions from early aging data
Tingkai Li, Zihao Zhou, Adam Thelen, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 4, pp. 101891-101891
Open Access | Times Cited: 11
Probabilistic machine learning for battery health diagnostics and prognostics—review and perspectives
Adam Thelen, Xun Huan, Noah H. Paulson, et al.
npj Materials Sustainability (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 11
Data-driven autoencoder neural network for onboard BMS Lithium-ion battery degradation prediction
Meghana Sudarshan, Alexey Serov, Casey M. Jones, et al.
Journal of Energy Storage (2024) Vol. 82, pp. 110575-110575
Closed Access | Times Cited: 10
Lithium-ion battery degradation: Comprehensive cycle ageing data and analysis for commercial 21700 cells
Niall Kirkaldy, Mohammad Amin Samieian, Gregory J. Offer, et al.
Journal of Power Sources (2024) Vol. 603, pp. 234185-234185
Open Access | Times Cited: 10
Optimized ANN for LiFePO4 battery charge estimation using principal components based feature generation
Chaitali Mehta, Amit V. Sant, Paawan Sharma
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 4, pp. 100175-100175
Open Access | Times Cited: 9
Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning
Alireza Valizadeh, Mohammad Hossein Amirhosseini, Yousef Ghorbani
Computers & Chemical Engineering (2024) Vol. 183, pp. 108623-108623
Closed Access | Times Cited: 8

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