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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:

A review of the recent progress in battery informatics
Chen Ling
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

A Review of Transition Metal Boride, Carbide, Pnictide, and Chalcogenide Water Oxidation Electrocatalysts
Kenta Kawashima, Raúl A. Márquez, Lettie A. Smith, et al.
Chemical Reviews (2023) Vol. 123, Iss. 23, pp. 12795-13208
Closed Access | Times Cited: 91
An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range
Bo Jiang, Yuli Zhu, Jiangong Zhu, et al.
Energy (2022) Vol. 263, pp. 125802-125802
Closed Access | Times Cited: 64
The value of negative results in data-driven catalysis research
Toshiaki Taniike, Keisuke Takahashi
Nature Catalysis (2023) Vol. 6, Iss. 2, pp. 108-111
Closed Access | Times Cited: 37
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: 23
Recent advances in functional materials and devices for Zn-Ion hybrid supercapacitors
Weijia Fan, Faxing Wang, Xiaosong Xiong, et al.
NPG Asia Materials (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 22
Unravelling air/moisture stability of cathode materials in sodium ion batteries: characterization, rational design, and perspectives
Shipeng Jia, Shinichi Kumakura, Eric McCalla
Energy & Environmental Science (2024) Vol. 17, Iss. 13, pp. 4343-4389
Closed Access | Times Cited: 21
Bi-LSTM, GRU and 1D-CNN models for short-term photovoltaic panel efficiency forecasting case amorphous silicon grid-connected PV system
Abdellatif Ait Mansour, Amine Tilioua, Mohammed Touzani
Results in Engineering (2024) Vol. 21, pp. 101886-101886
Open Access | Times Cited: 19
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 19
State-of-charge estimation of lithium-ion battery: Joint long short-term memory network and adaptive extended Kalman filter online estimation algorithm
Hongyu Zhao, Chenglin Liao, Chengzhong Zhang, et al.
Journal of Power Sources (2024) Vol. 604, pp. 234451-234451
Closed Access | Times Cited: 15
Informing geometric deep learning with electronic interactions to accelerate quantum chemistry
Zhuoran Qiao, Anders S. Christensen, Matthew Welborn, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 31
Open Access | Times Cited: 54
A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning
Cameron J. Hargreaves, Michael W. Gaultois, Luke M. Daniels, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 29
MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 23
Machine learning in energy storage material discovery and performance prediction
Guo-Chang Huang, Fuqiang Huang, Wujie Dong
Chemical Engineering Journal (2024) Vol. 492, pp. 152294-152294
Closed Access | Times Cited: 11
Deep machine learning approaches for battery health monitoring
Sanjeev Kumar Singh, P. R. Budarapu
Energy (2024) Vol. 300, pp. 131540-131540
Closed Access | Times Cited: 6
Disentangling multifactorial impacts on cathode thermochemical properties with explainable machine learning
Yujian Sun, Xilin Xu, Luyu Gan, et al.
EES batteries. (2025)
Open Access
Deep learning and polarisation equilibrium based state of health estimation for lithium-ion battery using partial charging data
Tong Wang, Yan Wu, Keming Zhu, et al.
Energy (2025), pp. 134564-134564
Closed Access
Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation
E. Poornima, BalaAnand Muthu, Ruchi Agrawal, et al.
Multimedia Tools and Applications (2023)
Closed Access | Times Cited: 19
Lithium–Ion Battery Data: From Production to Prediction
Marwan Hassini, Eduardo Redondo-Iglesias, Pascal Venet
Batteries (2023) Vol. 9, Iss. 7, pp. 385-385
Open Access | Times Cited: 18
Machine Learning in Lithium‐Ion Battery Cell Production: A Comprehensive Mapping Study
Sajedeh Haghi, Marc Francis V. Hidalgo, Mona Faraji Niri, et al.
Batteries & Supercaps (2023) Vol. 6, Iss. 7
Open Access | Times Cited: 15
Artificial intelligence-driven rechargeable batteries in multiple fields of development and application towards energy storage
Zheng Li, Shuqing Zhang, Hao Huang, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 108926-108926
Closed Access | Times Cited: 14
Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation
Tong Yu, Chunyang Wang, Huicong Yang, et al.
Journal of Energy Chemistry (2023) Vol. 90, pp. 191-204
Closed Access | Times Cited: 14
Machine learning-inspired battery material innovation
Man‐Fai Ng, Yongming Sun, Zhi Wei Seh
Energy Advances (2023) Vol. 2, Iss. 4, pp. 449-464
Open Access | Times Cited: 13
Ageing-aware battery discharge prediction with deep learning
Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, et al.
Applied Energy (2023) Vol. 346, pp. 121229-121229
Open Access | Times Cited: 13
Data-Driven Prognosis of Multiscale and Multiphysics Complex System Anomalies: Its Application to Lithium-ion Batteries Failure Detection
Lin Liu
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 5, pp. 050525-050525
Open Access | Times Cited: 12
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