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:

Machine learning without a processor: Emergent learning in a nonlinear analog network
Sam Dillavou, Benjamin D. Beyer, Menachem Stern, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 28
Open Access | Times Cited: 11

Showing 11 citing articles:

Computational design of mechanical metamaterials
Silvia Bonfanti, Stefan Hiemer, Raja Zulkarnain, et al.
Nature Computational Science (2024) Vol. 4, Iss. 8, pp. 574-583
Closed Access | Times Cited: 12

Training self-learning circuits for power-efficient solutions
Menachem Stern, Sam Dillavou, Dinesh Jayaraman, et al.
APL Machine Learning (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6

Physical Networks Become What They Learn
Menachem Stern, Marcelo Guzmán, Felipe Martins, et al.
Physical Review Letters (2025) Vol. 134, Iss. 14
Closed Access

Experimental demonstration of coupled learning in elastic networks
Lauren E. Altman, Menachem Stern, Andrea J. Liu, et al.
Physical Review Applied (2024) Vol. 22, Iss. 2
Open Access | Times Cited: 4

Rigidity of epithelial tissues as a double optimization problem
Sadjad Arzash, Indrajit Tah, Andrea J. Liu, et al.
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access

Engineering Terahertz Light–Matter Interaction with Quantum Electronic Metamaterials
Igor I. Smolyaninov, Vera N. Smolyaninova
Electronics (2025) Vol. 14, Iss. 4, pp. 679-679
Open Access

Temporal Contrastive Learning through implicit non-equilibrium memory
Martin J. Falk, Adam T. Strupp, Benjamin Scellier, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Universal approximation theorem for nonlinear resistive networks
B. Scellier, Siddhartha Mishra
Physical Review Applied (2025) Vol. 23, Iss. 4
Closed Access

Scaling of hardware-compatible perturbative training algorithms
Bakhrom Oripov, Andrew Dienstfrey, Adam N. McCaughan, et al.
APL Machine Learning (2025) Vol. 3, Iss. 2
Open Access

A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption
Chang Niu, Huanyu Zhang, Chuanlong Xu, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 51
Open Access

Training neural networks using physical equations of motion
T. Patrick Xiao
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 30
Open Access

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