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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:

Progress of machine learning in materials design for Li-Ion battery
Prasshanth C.V., Arun Kumar Lakshminarayanan, R. Brindha, et al.
Next Materials (2024) Vol. 2, pp. 100145-100145
Open Access | Times Cited: 10

Showing 10 citing articles:

Perspective and comparative analysis of physics-based models for sodium-ion batteries
Vamsi Krishna Garapati, Frederik T. Huld, Hanho Lee, et al.
Electrochimica Acta (2025), pp. 145573-145573
Open Access
A review of Bayesian-filtering-based techniques in RUL prediction for Lithium-Ion batteries
May Htet Htet Khine, Cheong Kim, Nattapol Aunsri
Journal of Energy Storage (2025) Vol. 111, pp. 115371-115371
Closed Access
Machine learning algorithms based approach on prediction of mechanical behaviour of PLA/brass composites manufactured by additive manufacturing
Nisha Soms, K. Ravikumar, M Naveen Kumar
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access
Advanced computational techniques: Bridging metaheuristic optimization and deep learning for material design through image enhancement
Jagrati Talreja, Divya Chauhan
Elsevier eBooks (2025), pp. 197-228
Closed Access
State of health as a function of voltage hysteresis in Li-ion battery half-cells
Julija Hodakovska, Liga Britala, Ansis Mezulis, et al.
Journal of Solid State Electrochemistry (2024)
Closed Access | Times Cited: 2
Machine learning in advancing anode materials for Lithium-Ion batteries – A review
Mohammad Aminul Islam, Zahid Ahsan, Mohammad Mustafizur Rahman, et al.
Inorganic Chemistry Communications (2024), pp. 113577-113577
Closed Access | Times Cited: 2
An Advanced Methodology for Crystal System Detection in Li-ion Batteries
Nikola Anđelić, Sandi Baressi Šegota
Electronics (2024) Vol. 13, Iss. 12, pp. 2278-2278
Open Access | Times Cited: 1
Property Prediction for Complex Compounds Using Structure-Free Mendeleev Encoding and Machine Learning
Zixin Zhuang, Amanda S. Barnard
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 1
Quantum tomographic reconstruction: a Bayesian approach using the extended Kalman filter
Khaled Obaideen, Mohammad Al‐Shabi, S. Andrew Gadsden, et al.
(2024), pp. 16-16
Closed Access
A machine learning approach for estimating supercapacitor performance of graphene oxide nano-ring based electrode materials
Gaurav Kumar Yogesh, Debabrata Nandi, Rungsima Yeetsorn, et al.
Energy Advances (2024)
Open Access
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