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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.

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RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design
Mingyang Wang, Chang‐Yu Hsieh, Jike Wang, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 13, pp. 9478-9492
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Application of Computational Biology and Artificial Intelligence in Drug Design
Yue Zhang, Mengqi Luo, Peng Wu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 13568-13568
Open Access | Times Cited: 71
New avenues in artificial-intelligence-assisted drug discovery
Carmen Cerchia, Antonio Lavecchia
Drug Discovery Today (2023) Vol. 28, Iss. 4, pp. 103516-103516
Open Access | Times Cited: 59
Integrating structure-based approaches in generative molecular design
Morgan Thomas, Andreas Bender, Chris de Graaf
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102559-102559
Open Access | Times Cited: 43
Prospective de novo drug design with deep interactome learning
Kenneth Atz, Leandro Cotos, Clemens Isert, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 32
Recent Advances in Automated Structure-Based De Novo Drug Design
Yidan Tang, Rocco Moretti, Jens Meiler
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1794-1805
Open Access | Times Cited: 27
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: 38
A pharmacophore-guided deep learning approach for bioactive molecular generation
Huimin Zhu, Renyi Zhou, Dongsheng Cao, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 33
Learning on topological surface and geometric structure for 3D molecular generation
Odin Zhang, Tianyue Wang, Gaoqi Weng, et al.
Nature Computational Science (2023) Vol. 3, Iss. 10, pp. 849-859
Closed Access | Times Cited: 33
Computer-Aided Drug Design towards New Psychotropic and Neurological Drugs
Georgia Dorahy, Zheng Chen, Thomas Balle
Molecules (2023) Vol. 28, Iss. 3, pp. 1324-1324
Open Access | Times Cited: 30
Artificial intelligence for drug discovery and development in Alzheimer's disease
Yunguang Qiu, Feixiong Cheng
Current Opinion in Structural Biology (2024) Vol. 85, pp. 102776-102776
Open Access | Times Cited: 15
DRlinker: Deep Reinforcement Learning for Optimization in Fragment Linking Design
Youhai Tan, Lingxue Dai, Weifeng Huang, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 5907-5917
Closed Access | Times Cited: 34
Advancing Targeted Protein Degradation via Multiomics Profiling and Artificial Intelligence
Miquel Duran‐Frigola, Marko Cigler, Georg E. Winter
Journal of the American Chemical Society (2023) Vol. 145, Iss. 5, pp. 2711-2732
Open Access | Times Cited: 21
Artificial intelligence in healthcare: a mastery
Jayanti Mukherjee, Ramesh Sharma, Prasenjit Dutta, et al.
Biotechnology and Genetic Engineering Reviews (2023) Vol. 40, Iss. 3, pp. 1659-1708
Closed Access | Times Cited: 21
FFLOM: A Flow-Based Autoregressive Model for Fragment-to-Lead Optimization
Jieyu Jin, Dong Wang, Guqin Shi, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 15, pp. 10808-10823
Closed Access | Times Cited: 18
Unlocking the Potential of Generative Artificial Intelligence in Drug Discovery
Virgilio Romanelli, Carmen Cerchia, Antonio Lavecchia
Springer eBooks (2024), pp. 37-63
Closed Access | Times Cited: 7
Genetic Algorithm-Based Receptor Ligand: A Genetic Algorithm-Guided Generative Model to Boost the Novelty and Drug-Likeness of Molecules in a Sampling Chemical Space
Mingyang Wang, Zhengjian Wu, Jike Wang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1213-1228
Closed Access | Times Cited: 5
A comprehensive review of molecular optimization in artificial intelligence‐based drug discovery
Yuhang Xia, Yongkang Wang, Zhiwei Wang, et al.
Quantitative Biology (2024) Vol. 12, Iss. 1, pp. 15-29
Open Access | Times Cited: 5
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
Haitao Lin, Yufei Huang, Odin Zhang, et al.
Chemical Science (2024)
Open Access | Times Cited: 5
Integrating Artificial Intelligence to Biomedical Science: New Applications for Innovative Stem Cell Research and Drug Development
M.-G. Kim, Sunghoi Hong
Technologies (2024) Vol. 12, Iss. 7, pp. 95-95
Open Access | Times Cited: 4
The Six Ds of Exponentials and drug discovery: A path toward reversing Eroom’s law
Alexander Tropsha, Holli‐Joi Martin, Artem Cherkasov
Drug Discovery Today (2025), pp. 104341-104341
Closed Access
Syn-MolOpt: a synthesis planning-driven molecular optimization method using data-derived functional reaction templates
Xiaodan Yin, Xiaorui Wang, Zhenxing Wu, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Accelerating discovery of bioactive ligands with pharmacophore-informed generative models
Weixin Xie, Jianhang Zhang, Qin Xie, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Multiscale graph equivariant diffusion model for 3D molecule design
Lu Chen, Yan Li, Yanjie Ma, et al.
Science Advances (2025) Vol. 11, Iss. 16
Closed Access
A flexible data-free framework for structure-based de novo drug design with reinforcement learning
Hongyan Du, Dejun Jiang, Odin Zhang, et al.
Chemical Science (2023) Vol. 14, Iss. 43, pp. 12166-12181
Open Access | Times Cited: 8
Application progress of deep generative models in de novo drug design
Yingxu Liu, Chengcheng Xu, Xinyi Yang, et al.
Molecular Diversity (2024) Vol. 28, Iss. 4, pp. 2411-2427
Closed Access | Times Cited: 3
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