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:

Modern machine‐learning for binding affinity estimation of protein–ligand complexes: Progress, opportunities, and challenges
Tobias Harren, Torben Gutermuth, Christoph Grebner, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 6

Showing 6 citing articles:

Convergent Protocols for Computing Protein–Ligand Interaction Energies Using Fragment-Based Quantum Chemistry
Paige E. Bowling, Dustin R. Broderick, John M. Herbert
Journal of Chemical Theory and Computation (2025)
Closed Access | Times Cited: 4

Transformers for Molecular Property Prediction: Lessons Learned from the Past Five Years
A.R. Sultan, Jochen Sieg, Miriam Mathea, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6259-6280
Open Access | Times Cited: 7

Augmented BindingNet dataset for enhanced ligand binding pose predictions using deep learning
Hui Zhu, Xuelian Li, Baoquan Chen, et al.
npj Drug Discovery. (2025) Vol. 2, Iss. 1
Open Access

GRADE and X-GRADE: Unveiling Novel Protein–Ligand Interaction Fingerprints Based on GRAIL Scores
C Fellinger, Thomas Seidel, Benjamin Merget, et al.
Journal of Chemical Information and Modeling (2025)
Open Access

Predicting the Binding of Small Molecules to Proteins through Invariant Representation of the Molecular Structure
Roberta Beccaria, Andrea Lazzeri, Guido Tiana
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 17, pp. 6758-6767
Open Access

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