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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 1-25 of 247 citing articles:

Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: A review
Maheshwari Adaikkappan, Nageswari Sathiyamoorthy
International Journal of Energy Research (2021) Vol. 46, Iss. 3, pp. 2141-2165
Open Access | Times Cited: 169
Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries
Kailong Liu, Yizhao Gao, Chong Zhu, et al.
Control Engineering Practice (2022) Vol. 124, pp. 105176-105176
Open Access | Times Cited: 112
A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
Zhong Ren, Changqing Du
Energy Reports (2023) Vol. 9, pp. 2993-3021
Open Access | Times Cited: 112
Renewable Energy Communities business models under the 2020 Italian regulation
A. Cielo, P. Margiaria, Paolo Lazzeroni, et al.
Journal of Cleaner Production (2021) Vol. 316, pp. 128217-128217
Closed Access | Times Cited: 109
A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data
Yizhou Zhang, Torsten Wik, John C. Bergstrom, et al.
Journal of Power Sources (2022) Vol. 526, pp. 231110-231110
Open Access | Times Cited: 105
Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications
R. Ranjith Kumar, C. Bharatiraja, K. Udhayakumar, et al.
IEEE Access (2023) Vol. 11, pp. 105761-105809
Open Access | Times Cited: 93
Implementation of artificial intelligence techniques in microgrid control environment: Current progress and future scopes
Rohit Trivedi, Shafi Khadem
Energy and AI (2022) Vol. 8, pp. 100147-100147
Open Access | Times Cited: 82
Integrating physics-based modeling and machine learning for degradation diagnostics of lithium-ion batteries
Adam Thelen, Yu Hui Lui, Sheng Shen, et al.
Energy storage materials (2022) Vol. 50, pp. 668-695
Closed Access | Times Cited: 71
A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries
Prabhakar Sharma, Bhaskor Jyoti Bora
Batteries (2022) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 68
Applications of artificial neural network based battery management systems: A literature review
Mehmet Kurucan, Mete Özbaltan, Zekí Yetgín, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114262-114262
Closed Access | Times Cited: 63
Experimental degradation study of a commercial lithium-ion battery
Leo Wildfeuer, Alexander Karger, Deniz Aygül, et al.
Journal of Power Sources (2023) Vol. 560, pp. 232498-232498
Closed Access | Times Cited: 55
Critical summary and perspectives on state-of-health of lithium-ion battery
Bo Yang, Yucun Qian, Qiang Li, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 190, pp. 114077-114077
Closed Access | Times Cited: 52
High-efficient prediction of state of health for lithium-ion battery based on AC impedance feature tuned with Gaussian process regression
Jia Wang, Rui Zhao, Qiu‐An Huang, et al.
Journal of Power Sources (2023) Vol. 561, pp. 232737-232737
Closed Access | Times Cited: 46
State of Health Estimation Methods for Lithium-Ion Batteries
Gulzat Nuroldayeva, Yerkin Serik, Desmond Adair, et al.
International Journal of Energy Research (2023) Vol. 2023, pp. 1-21
Open Access | Times Cited: 45
State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges
S Vignesh, Hang Seng, Jeyraj Selvaraj, et al.
Applied Energy (2024) Vol. 369, pp. 123542-123542
Closed Access | Times Cited: 32
A guide to equivalent circuit fitting for impedance analysis and battery state estimation
Francesco Santoni, Alessio De Angelis, Antonio Moschitta, et al.
Journal of Energy Storage (2024) Vol. 82, pp. 110389-110389
Open Access | Times Cited: 22
A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries
Zeinab Sherkatghanad, Amin Ghazanfari, Vladimir Makarenkov
Journal of Energy Storage (2024) Vol. 88, pp. 111524-111524
Open Access | Times Cited: 20
Predicting battery end of life from solar off-grid system field data using machine learning
Antti Aitio, David A. Howey
Joule (2021) Vol. 5, Iss. 12, pp. 3204-3220
Open Access | Times Cited: 73
Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems
Erik Vanem, Clara Bertinelli Salucci, Azzeddine Bakdi, et al.
Journal of Energy Storage (2021) Vol. 43, pp. 103158-103158
Open Access | Times Cited: 67
Towards unified machine learning characterization of lithium-ion battery degradation across multiple levels: A critical review
Alan G. Li, Alan C. West, Matthias Preindl
Applied Energy (2022) Vol. 316, pp. 119030-119030
Closed Access | Times Cited: 62
Prediction of future capacity and internal resistance of Li-ion cells from one cycle of input data
Calum Strange, Gonçalo dos Reis
Energy and AI (2021) Vol. 5, pp. 100097-100097
Open Access | Times Cited: 61
Principles of the Battery Data Genome
Logan Ward, Susan Babinec, Eric J. Dufek, et al.
Joule (2022) Vol. 6, Iss. 10, pp. 2253-2271
Open Access | Times Cited: 59
Review of parameterisation and a novel database (LiionDB) for continuum Li-ion battery models
Andrew A. Wang, Simon O’Kane, Ferran Brosa Planella, et al.
Progress in Energy (2022) Vol. 4, Iss. 3, pp. 032004-032004
Open Access | Times Cited: 58
Toward a Unified Description of Battery Data
Simon Clark, Francesca L. Bleken, Simon Stier, et al.
Advanced Energy Materials (2021) Vol. 12, Iss. 17
Open Access | Times Cited: 57
A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions
Friedrich von Bülow, Tobias Meisen
Journal of Energy Storage (2022) Vol. 57, pp. 105978-105978
Closed Access | Times Cited: 49
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