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:
Unconstrained Machine Learning Screening for New Li‐Ion Cathode Materials Enhanced by Class Balancing
Filip Dinic, Oleksandr Voznyy
Advanced Theory and Simulations (2023) Vol. 6, Iss. 6
Open Access | Times Cited: 7
Filip Dinic, Oleksandr Voznyy
Advanced Theory and Simulations (2023) Vol. 6, Iss. 6
Open Access | Times Cited: 7
Showing 7 citing articles:
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: 14
Guo-Chang Huang, Fuqiang Huang, Wujie Dong
Chemical Engineering Journal (2024) Vol. 492, pp. 152294-152294
Closed Access | Times Cited: 14
Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research
Muthuraja Velpandian, Suddhasatwa Basu
Indian Chemical Engineer (2025), pp. 1-18
Closed Access
Muthuraja Velpandian, Suddhasatwa Basu
Indian Chemical Engineer (2025), pp. 1-18
Closed Access
A review of silicon-carbon anode materials: The role of precursor and its effect on lithium-ion battery performance
Muhammad Hamzah Saleem, Ulla Lassi, Varsha Srivastava, et al.
Journal of Power Sources (2025) Vol. 641, pp. 236879-236879
Open Access
Muhammad Hamzah Saleem, Ulla Lassi, Varsha Srivastava, et al.
Journal of Power Sources (2025) Vol. 641, pp. 236879-236879
Open Access
AI-driven accelerated discovery of intercalation-type cathode materials for magnesium batteries
Wenjie Chen, Zichang Lin, Xinxin Zhang, et al.
Journal of Energy Chemistry (2025)
Open Access
Wenjie Chen, Zichang Lin, Xinxin Zhang, et al.
Journal of Energy Chemistry (2025)
Open Access
Semiautomated Experiments to Accelerate the Design of Advanced Battery Materials: Combining Speed, Low Cost, and Adaptability
Eric McCalla
ACS Engineering Au (2023) Vol. 3, Iss. 6, pp. 391-402
Open Access | Times Cited: 9
Eric McCalla
ACS Engineering Au (2023) Vol. 3, Iss. 6, pp. 391-402
Open Access | Times Cited: 9
Machine learning models for the discovery of direct band gap materials for light emission and photovoltaics
Filip Dinic, Ihor Neporozhnii, Oleksandr Voznyy
Computational Materials Science (2023) Vol. 231, pp. 112580-112580
Closed Access | Times Cited: 7
Filip Dinic, Ihor Neporozhnii, Oleksandr Voznyy
Computational Materials Science (2023) Vol. 231, pp. 112580-112580
Closed Access | Times Cited: 7
Machine learning descriptors for crystal materials: applications in Ni-rich layered cathode and lithium anode materials for high-energy-density lithium batteries
Ruiqi Zhang, F. C. Rong, Genming Lai, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 4
Open Access | Times Cited: 2
Ruiqi Zhang, F. C. Rong, Genming Lai, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 4
Open 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
Mohammad Aminul Islam, Zahid Ahsan, Mohammad Mustafizur Rahman, et al.
Inorganic Chemistry Communications (2024), pp. 113577-113577
Closed Access | Times Cited: 2
