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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:

A geometric deep learning approach to predict binding conformations of bioactive molecules
Oscar Méndez‐Lucio, Mazen Ahmad, Ehecatl Antonio del Rio‐Chanona, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 12, pp. 1033-1039
Closed Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Everything is connected: Graph neural networks
Petar Veličković
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102538-102538
Open Access | Times Cited: 125
Boosting Protein–Ligand Binding Pose Prediction and Virtual Screening Based on Residue–Atom Distance Likelihood Potential and Graph Transformer
Chao Shen, Xujun Zhang, Yafeng Deng, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 15, pp. 10691-10706
Closed Access | Times Cited: 103
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
Wei Lu, Qifeng Wu, Jixian Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 88
Structure-based drug design with geometric deep learning
Clemens Isert, Kenneth Atz, Gisbert Schneider
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102548-102548
Open Access | Times Cited: 87
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, et al.
(2023)
Open Access | Times Cited: 86
PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences
Martin Buttenschoen, Garrett M. Morris, Charlotte M. Deane
Chemical Science (2023) Vol. 15, Iss. 9, pp. 3130-3139
Open Access | Times Cited: 85
Protein–Ligand Docking in the Machine-Learning Era
Chao Yang, Eric Anthony Chen, Yingkai Zhang
Molecules (2022) Vol. 27, Iss. 14, pp. 4568-4568
Open Access | Times Cited: 75
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling
Odin Zhang, Jintu Zhang, Jieyu Jin, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 9, pp. 1020-1030
Closed Access | Times Cited: 36
3D molecular generative framework for interaction-guided drug design
Wonho Zhung, H.G. Kim, Woo Youn Kim
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
An artificial intelligence accelerated virtual screening platform for drug discovery
Guangfeng Zhou, Domnița-Valeria Rusnac, Hahnbeom Park, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
Delta Machine Learning to Improve Scoring-Ranking-Screening Performances of Protein–Ligand Scoring Functions
Chao Yang, Yingkai Zhang
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 11, pp. 2696-2712
Open Access | Times Cited: 43
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, et al.
(2022)
Open Access | Times Cited: 40
A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function
Zechen Wang, Liangzhen Zheng, Sheng Wang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 35
PLANET: A Multi-objective Graph Neural Network Model for Protein–Ligand Binding Affinity Prediction
Xiangying Zhang, Haotian Gao, Haojie Wang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2205-2220
Open Access | Times Cited: 35
Structure‐Based Drug Discovery with Deep Learning**
Rıza Özçelik, Derek van Tilborg, José Jiménez-Luna, et al.
ChemBioChem (2023) Vol. 24, Iss. 13
Open Access | Times Cited: 33
A generalized protein–ligand scoring framework with balanced scoring, docking, ranking and screening powers
Chao Shen, Xujun Zhang, Chang‐Yu Hsieh, et al.
Chemical Science (2023) Vol. 14, Iss. 30, pp. 8129-8146
Open Access | Times Cited: 29
Integrated Molecular Modeling and Machine Learning for Drug Design
Song Xia, Eric Chen, Yingkai Zhang
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 21, pp. 7478-7495
Open Access | Times Cited: 23
Graph Neural Networks for Molecules
Yuyang Wang, Zijie Li, Amir Barati Farimani
Challenges and advances in computational chemistry and physics (2023), pp. 21-66
Closed Access | Times Cited: 21
Advancing Ligand Docking through Deep Learning: Challenges and Prospects in Virtual Screening
Xujun Zhang, Chao Shen, Haotian Zhang, et al.
Accounts of Chemical Research (2024) Vol. 57, Iss. 10, pp. 1500-1509
Closed Access | Times Cited: 11
Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions
Dong Chen, Jian Liu, Guo‐Wei Wei
Nature Machine Intelligence (2024) Vol. 6, Iss. 7, pp. 799-810
Open Access | Times Cited: 9
Computational Chemistry in Structure-Based Solute Carrier Transporter Drug Design: Recent Advances and Future Perspectives
Gao Tu, Tingting Fu, Guoxun Zheng, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1433-1455
Closed Access | Times Cited: 7
Databases of ligand-binding pockets and protein-ligand interactions
Kristy A. Carpenter, Russ B. Altman
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1320-1338
Open Access | Times Cited: 6
Protein-ligand binding affinity prediction using multi-instance learning with docking structures
Hyo-Jin Kim, Heesung Shim, Aditya Ranganath, et al.
Frontiers in Pharmacology (2025) Vol. 15
Open Access
Normalized Protein–Ligand Distance Likelihood Score for End-to-End Blind Docking and Virtual Screening
Song Xia, Yaowen Gu, Yingkai Zhang
Journal of Chemical Information and Modeling (2025)
Open Access
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access
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