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:

Accelerating the calculation of electron–phonon coupling strength with machine learning
Yang Zhong, Shixu Liu, Binhua Zhang, et al.
Nature Computational Science (2024) Vol. 4, Iss. 8, pp. 615-625
Closed Access | Times Cited: 7

Showing 7 citing articles:

Peering into interfaces in perovskite solar cells: A first-principles perspective
Xiang-lin LIU, Jinshan Li, Xie Zhang
Journal of Physics Condensed Matter (2025) Vol. 37, Iss. 15, pp. 151502-151502
Closed Access

Intrinsic Breakdown Strength: Theoretical Derivation and First-Principles Calculations
Shixu Liu, Hongjun Xiang, Xin-Gao Gong, et al.
Physical Review Letters (2025) Vol. 134, Iss. 8
Open Access

Advancing nonadiabatic molecular dynamics simulations in solids with E(3) equivariant deep neural hamiltonians
Changwei Zhang, Yang Zhong, Zhi-Guo Tao, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Diverse Manifestations of Electron-Phonon Coupling in a Kagome Superconductor
Jing‐Yang You, Chih‐En Hsu, Mauro Del Ben, et al.
Physical Review Letters (2025) Vol. 134, Iss. 10
Open Access

Advances in theory and computational methods for next-generation thermoelectric materials
Junsoo Park, Alex M. Ganose, Yi Xia
Applied Physics Reviews (2025) Vol. 12, Iss. 1
Closed Access

Accelerating predictions of electronic transport and superconductivity
Ting Cao
Nature Computational Science (2024) Vol. 4, Iss. 8, pp. 561-562
Closed Access

Efficient prediction of potential energy surface and physical properties with Kolmogorov-Arnold Networks
Rui Wang, Hongyu Yu, Yang Zhong, et al.
Journal of Materials Informatics (2024)
Open Access

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