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:

Machine learning meets physics: A two-way street
Herbert Levine, Yuhai Tu
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 27
Open Access | Times Cited: 8

Showing 8 citing articles:

The Physics-AI Dialogue in Drug Design
Pablo Andrés Vargas-Rosales, Amedeo Caflisch
RSC Medicinal Chemistry (2025)
Open Access

Machine learning stochastic dynamics
Ying Tang
Zhongguo kexue. Wulixue Lixue Tianwenxue (2025) Vol. 55, Iss. 10, pp. 100501-100501
Closed Access

Flow field reconstruction and prediction of the two-dimensional cylinder flow using data-driven physics-informed neural network combined with long short-term memory
Yehao Dou, Xun Han, Pengzhi Lin
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110547-110547
Closed Access

Fractal-constrained deep learning for super-resolution of turbulence with zero or few label data
Jiaxin Wu, Min Luo, Boo Cheong Khoo, et al.
Computer Physics Communications (2025) Vol. 312, pp. 109548-109548
Closed Access

Biological physics to uncover cell signaling
Silvina Ponce Dawson
Biophysical Reviews (2025)
Closed Access

State Estimation of Lithium-Ion Batteries via Physics-Machine Learning Combined Methods: A Methodological Review and Future Perspectives
Hanqing Yu, Hongcai Zhang, Zhengjie Zhang, et al.
eTransportation (2025), pp. 100420-100420
Closed Access

Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion
Deyu Meng, Junjie Zhang, Nan Cheng, et al.
(2025)
Closed Access

Physics-Based Machine Learning Trains Hamiltonians and Decodes the Sequence–Conformation Relation in the Disordered Proteome
L. L. Houston, Michael W. Phillips, Andrew S. Torres, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 22, pp. 10266-10274
Closed Access | Times Cited: 1

Should Artificial Intelligence Play a Durable Role in Biomedical Research and Practice?
Pierre Bongrand
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 24, pp. 13371-13371
Open Access

Page 1

Scroll to top