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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:

Physics-inspired machine learning of localized intensive properties
Ke Chen, Christian Künkel, Bingqing Cheng, et al.
Chemical Science (2023) Vol. 14, Iss. 18, pp. 4913-4922
Open Access | Times Cited: 11

Showing 11 citing articles:

Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting
David Buterez, Jon Paul Janet, Steven J. Kiddle, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Leave No Photon Behind: Artificial Intelligence in Multiscale Physics of Photocatalyst and Photoreactor Design
Joel Y. Y. Loh, Andrew Wang, Abhinav Mohan, et al.
Advanced Science (2024) Vol. 11, Iss. 18
Open Access | Times Cited: 10
Adapting hybrid density functionals with machine learning
Danish Khan, Alastair J. A. Price, Bing Huang, et al.
Science Advances (2025) Vol. 11, Iss. 5
Open Access
Modelling local and general quantum mechanical properties with attention-based pooling
David Buterez, Jon Paul Janet, Steven J. Kiddle, et al.
Communications Chemistry (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 8
Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions
Jueyi Xue, Hamid Alinejad‐Rokny, Kang Liang
ChemPhysMater (2024) Vol. 3, Iss. 3, pp. 273-283
Open Access | Times Cited: 2
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting
David Buterez, Jon Paul Janet, Steven J. Kiddle, et al.
(2024)
Open Access | Times Cited: 1
Deep Learning for Molecular Orbitals
Daniel S. King, Daniel Grzenda, Ruijie Zhu, et al.
(2024)
Open Access
Growth, characterization, spectroscopic examination and computational analysis of optical properties of 3-Carboxypropanaminium DL-tartrate single crystal
C. Usha, Ali Raza Ayub, Anthoniammal Panneerselvam, et al.
Journal of Materials Science Materials in Electronics (2024) Vol. 35, Iss. 26
Closed Access
Machine‐Learned Modeling for Accelerating Organic Solvent Design in Metal‐Ion Batteries
Wiwittawin Sukmas, Jiaqian Qin, Rungroj Chanajaree
Advanced Theory and Simulations (2024)
Open Access
Trendbericht Theoretische Chemie 2023 (1/3): Maschinelles Lernen jenseits von Potenzialenergiehyperflächen
Johannes T. Margraf
Nachrichten aus der Chemie (2023) Vol. 71, Iss. 11, pp. 60-62
Open Access
Hybrid Physics-Inspired Machine Learning Framework for Predictive Maintenance of Forklift Chains: Leveraging Sensor Data Characteristics
Osman Akcatepe, Michael Moeckel
(2023), pp. 326-329
Closed Access
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