Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime
Muratahan Aykol, Chirranjeevi Balaji Gopal, Abraham Anapolsky, et al.
Journal of The Electrochemical Society (2021) Vol. 168, Iss. 3, pp. 030525-030525
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium‐Ion Batteries
Chade Lv, Xin Zhou, Lixiang Zhong, et al.
Advanced Materials (2021) Vol. 34, Iss. 25
Open Access | Times Cited: 254
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
The challenge and opportunity of battery lifetime prediction from field data
Valentin Sulzer, Peyman Mohtat, Antti Aitio, et al.
Joule (2021) Vol. 5, Iss. 8, pp. 1934-1955
Open Access | Times Cited: 236
Deep neural network battery charging curve prediction using 30 points collected in 10 min
Jinpeng Tian, Rui Xiong, Weixiang Shen, et al.
Joule (2021) Vol. 5, Iss. 6, pp. 1521-1534
Open Access | Times Cited: 231
End-of-life or second-life options for retired electric vehicle batteries
Juner Zhu, Ian Mathews, Dongsheng Ren, et al.
Cell Reports Physical Science (2021) Vol. 2, Iss. 8, pp. 100537-100537
Open Access | Times Cited: 203
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 12
Open Access | Times Cited: 182
Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Yunhong Che, Xiaosong Hu, Xianke Lin, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 2, pp. 338-371
Open Access | Times Cited: 172
A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+
Julia Amici, Pietro Asinari, Elixabete Ayerbe, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 17
Open Access | Times Cited: 134
A review of the recent progress in battery informatics
Chen Ling
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 130
State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Xing Shu, Shuhang Shen, Jiangwei Shen, et al.
iScience (2021) Vol. 24, Iss. 11, pp. 103265-103265
Open Access | Times Cited: 124
Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities
Yusheng Zheng, Yunhong Che, Xiao Hu, et al.
Progress in Energy and Combustion Science (2023) Vol. 100, pp. 101120-101120
Open Access | Times Cited: 78
Parametrization of physics-based battery models from input–output data: A review of methodology and current research
Malin Andersson, Moritz Streb, Jing Ying Ko, et al.
Journal of Power Sources (2022) Vol. 521, pp. 230859-230859
Open Access | Times Cited: 74
Physics-informed machine learning model for battery state of health prognostics using partial charging segments
Sara Kohtz, Yanwen Xu, Zhuoyuan Zheng, et al.
Mechanical Systems and Signal Processing (2022) Vol. 172, pp. 109002-109002
Open Access | Times Cited: 74
Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
Wendi Guo, Zhongchao Sun, Søren Byg Vilsen, et al.
Journal of Energy Storage (2022) Vol. 56, pp. 105992-105992
Open Access | Times Cited: 74
Physics-based battery SOC estimation methods: Recent advances and future perspectives
Longxing Wu, Zhiqiang Lyu, Zebo Huang, et al.
Journal of Energy Chemistry (2023) Vol. 89, pp. 27-40
Closed Access | Times Cited: 73
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
Physics-guided machine learning frameworks for fatigue life prediction of AM materials
Lanyi Wang, Shun‐Peng Zhu, Changqi Luo, et al.
International Journal of Fatigue (2023) Vol. 172, pp. 107658-107658
Closed Access | Times Cited: 65
Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study
Laxman Timilsina, Payam Ramezani Badr, Phuong H. Hoang, et al.
IEEE Access (2023) Vol. 11, pp. 42431-42462
Open Access | Times Cited: 65
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
Fujin Wang, Zhi Zhai, Zhibin Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 59
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
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life
Qing Xu, Min Wu, Edwin Khoo, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 1, pp. 177-187
Closed Access | Times Cited: 53
Challenges and opportunities for battery health estimation: Bridging laboratory research and real-world applications
Te Han, Jinpeng Tian, C. Y. Chung, et al.
Journal of Energy Chemistry (2023) Vol. 89, pp. 434-436
Closed Access | Times Cited: 51
Challenges and opportunities for second-life batteries: Key technologies and economy
Xubo Gu, Hanyu Bai, Xiaofan Cui, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114191-114191
Closed Access | Times Cited: 40
Machine learning for battery systems applications: Progress, challenges, and opportunities
Zahra Nozarijouybari, Hosam K. Fathy
Journal of Power Sources (2024) Vol. 601, pp. 234272-234272
Closed Access | Times Cited: 27
Sustainable plug-in electric vehicle integration into power systems
Hongcai Zhang, Xiaosong Hu, Zechun Hu, et al.
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 1, pp. 35-52
Open Access | Times Cited: 16
Page 1 - Next Page

Scroll to top