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:

AstroCLIP: A cross-modal foundation model for galaxies
Liam Parker, François Lanusse, Siavash Golkar, et al.
Monthly Notices of the Royal Astronomical Society (2024) Vol. 531, Iss. 4, pp. 4990-5011
Open Access | Times Cited: 7

Showing 7 citing articles:

Resimulation-based self-supervised learning for pretraining physics foundation models
P. Harris, J. Krupa, M. Kagan, et al.
Physical review. D/Physical review. D. (2025) Vol. 111, Iss. 3
Open Access | Times Cited: 1

Insights into Galaxy Evolution from Interpretable Sparse Feature Networks
John F. Wu
The Astrophysical Journal (2025) Vol. 980, Iss. 2, pp. 183-183
Open Access

Towards a Science Exocortex
Kevin G. Yager
Digital Discovery (2024)
Open Access | Times Cited: 1

Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams
P. Aleo, Andrew G. Engel, Gautham Narayan, et al.
The Astrophysical Journal (2024) Vol. 974, Iss. 2, pp. 172-172
Open Access

pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy
Kartheik G. Iyer, Mikaeel Yunus, Charles O’Neill, et al.
The Astrophysical Journal Supplement Series (2024) Vol. 275, Iss. 2, pp. 38-38
Open Access

Maven: A Multimodal Foundation Model for Supernova Science
Gemma Zhang, Thomas Helfer, Alexander Gagliano, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045069-045069
Open Access

The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis
Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher, et al.
The Astrophysical Journal (2024) Vol. 977, Iss. 2, pp. 202-202
Open Access

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