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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:

Explore drug-like space with deep generative models
Jianmin Wang, Jiashun Mao, Meng Wang, et al.
Methods (2023) Vol. 210, pp. 52-59
Closed Access | Times Cited: 22

Showing 22 citing articles:

Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 109
Transformer-Based Molecular Generative Model for Antiviral Drug Design
Jiashun Mao, Jianmin Wang, Amir Zeb, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2733-2745
Open Access | Times Cited: 31
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 9
Molecular similarity: Theory, applications, and perspectives
Kenneth López‐Pérez, Juan F. Avellaneda-Tamayo, Lexin Chen, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100077-100077
Open Access | Times Cited: 8
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
Gregory W. Kyro, Anton Morgunov, Rafael I. Brent, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 653-665
Open Access | Times Cited: 6
Exploring the Conformational Ensembles of Protein–Protein Complex with Transformer-Based Generative Model
Jianmin Wang, Xun Wang, Yanyi Chu, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 11, pp. 4469-4480
Closed Access | Times Cited: 6
In-silico-based lead optimization of hit compounds targeting mitotic kinesin Eg5 for cancer management
Damilola S. Bodun, Damilola A. Omoboyowa, Victor F. Olofinlade, et al.
In Silico Pharmacology (2025) Vol. 13, Iss. 1
Closed Access
CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability
Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
MolFilterGAN: a progressively augmented generative adversarial network for triaging AI-designed molecules
Xiaohong Liu, Wei Zhang, Xiaochu Tong, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 13
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 4
DockingGA: enhancing targeted molecule generation using transformer neural network and genetic algorithm with docking simulation
Changnan Gao, W.Y. Bao, Shuang Wang, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 5, pp. 595-606
Closed Access | Times Cited: 3
CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability
Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 3
An Innovative Inducer of Platelet Production, Isochlorogenic Acid A, Is Uncovered through the Application of Deep Neural Networks
Taian Yi, Jiesi Luo, Ruixue Liao, et al.
Biomolecules (2024) Vol. 14, Iss. 3, pp. 267-267
Open Access | Times Cited: 1
Exploring the conformational ensembles of protein-protein complex with transformer-based generative model
Jianmin Wang, Xun Wang, Yanyi Chu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
A bidirectional interpretable compound-protein interaction prediction framework based on cross attention
Meng Wang, Jianmin Wang, Zhiwei Rong, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108239-108239
Closed Access | Times Cited: 1
The Chemical Space Spanned by Manually Curated Datasets of Natural and Synthetic Compounds with Activities against SARS‐CoV‐2
Jude Y. Betow, Gemma Turón, Clovis S. Metuge, et al.
Molecular Informatics (2024)
Closed Access | Times Cited: 1
MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms
Shenggeng Lin, Xueying Mao, Liang Hong, et al.
Methods (2023) Vol. 220, pp. 1-10
Closed Access | Times Cited: 4
Interface-aware molecular generative framework for protein-protein interaction modulators
Jianmin Wang, Jiashun Mao, Chunyan Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Editorial: Artificial intelligence in drug discovery and development
Leyi Wei, Quan Zou, Xiangxiang Zeng
Methods (2024) Vol. 226, pp. 133-137
Closed Access
Estimating molecular properties, drug-likeness, cardiotoxic risk, liability profile, and molecular docking study to characterize binding process of key phyto-compounds against serotonin 5-HT2A receptor
Mohamed Sabri Bensaad, Devvret Verma, Debasis Mitra, et al.
Open Chemistry (2024) Vol. 22, Iss. 1
Open Access
Interface-aware molecular generative framework for protein–protein interaction modulators
Jianmin Wang, Jiashun Mao, Chunyan Li, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
3D molecular generation models expand chemical space exploration in drug design
Yuting Xiang, Guang-Yi Huang, Xing-Xing Shi, et al.
Drug Discovery Today (2024), pp. 104282-104282
Closed Access
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