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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:

The Synthesizability of Molecules Proposed by Generative Models
Wenhao Gao, Connor W. Coley
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 5714-5723
Open Access | Times Cited: 288

Showing 1-25 of 288 citing articles:

Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 588
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, et al.
Chemical Reviews (2020) Vol. 120, Iss. 16, pp. 8066-8129
Open Access | Times Cited: 445
Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
Varnavas D. Mouchlis, Antreas Afantitis, Angela Serra, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 1676-1676
Open Access | Times Cited: 229
AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning
Samuel Genheden, Amol Thakkar, Veronika Chadimová, et al.
Journal of Cheminformatics (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 216
De novo molecular design and generative models
Joshua Meyers, Benedek Fabian, Nathan Brown
Drug Discovery Today (2021) Vol. 26, Iss. 11, pp. 2707-2715
Open Access | Times Cited: 208
Generative models for molecular discovery: Recent advances and challenges
Camille L. Bilodeau, Wengong Jin, Tommi Jaakkola, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Closed Access | Times Cited: 187
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao, Sai Pooja Mahajan, Jeremias Sulam, et al.
Patterns (2020) Vol. 1, Iss. 9, pp. 100142-100142
Open Access | Times Cited: 179
Merging Ligand-Based and Structure-Based Methods in Drug Discovery: An Overview of Combined Virtual Screening Approaches
Javier Vázquez, Manel López, Enric Gibert, et al.
Molecules (2020) Vol. 25, Iss. 20, pp. 4723-4723
Open Access | Times Cited: 149
Generative Models as an Emerging Paradigm in the Chemical Sciences
Dylan M. Anstine, Olexandr Isayev
Journal of the American Chemical Society (2023) Vol. 145, Iss. 16, pp. 8736-8750
Open Access | Times Cited: 142
Graph neural networks for automated de novo drug design
Jiacheng Xiong, Zhaoping Xiong, Kaixian Chen, et al.
Drug Discovery Today (2021) Vol. 26, Iss. 6, pp. 1382-1393
Closed Access | Times Cited: 134
Generative Deep Learning for Targeted Compound Design
T. Ferra de Sousa, João Correia, Vítor Pereira, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 11, pp. 5343-5361
Closed Access | Times Cited: 118
Exploration of Ultralarge Compound Collections for Drug Discovery
Wendy A. Warr, Marc C. Nicklaus, Christos A. Nicolaou, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 9, pp. 2021-2034
Closed Access | Times Cited: 112
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikołaj Sacha, Mikołaj Błaż, Piotr Byrski, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 7, pp. 3273-3284
Open Access | Times Cited: 111
Generative chemistry: drug discovery with deep learning generative models
Yuemin Bian, Xiang‐Qun Xie
Journal of Molecular Modeling (2021) Vol. 27, Iss. 3
Open Access | Times Cited: 108
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
Chandrabose Selvaraj, Ishwar Chandra, Sanjeev Kumar Singh
Molecular Diversity (2021) Vol. 26, Iss. 3, pp. 1893-1913
Open Access | Times Cited: 108
Retrosynthetic accessibility score (RAscore) – rapid machine learned synthesizability classification from AI driven retrosynthetic planning
Amol Thakkar, Veronika Chadimová, Esben Jannik Bjerrum, et al.
Chemical Science (2021) Vol. 12, Iss. 9, pp. 3339-3349
Open Access | Times Cited: 103
Artificial intelligence foundation for therapeutic science
Kexin Huang, Tianfan Fu, Wenhao Gao, et al.
Nature Chemical Biology (2022) Vol. 18, Iss. 10, pp. 1033-1036
Open Access | Times Cited: 103
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Zekun Ren, Siyu Tian, Juhwan Noh, et al.
Matter (2021) Vol. 5, Iss. 1, pp. 314-335
Open Access | Times Cited: 102
Machine intelligence for chemical reaction space
Philippe Schwaller, Alain C. Vaucher, Rubén Laplaza, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 87
Human- and machine-centred designs of molecules and materials for sustainability and decarbonization
Jiayu Peng, Daniel Schwalbe‐Koda, Karthik Akkiraju, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 12, pp. 991-1009
Closed Access | Times Cited: 84
Generative machine learning for de novo drug discovery: A systematic review
Dominic D. Martinelli
Computers in Biology and Medicine (2022) Vol. 145, pp. 105403-105403
Closed Access | Times Cited: 82
Artificial intelligence to bring nanomedicine to life
Nikita Serov, Vladimir V. Vinogradov
Advanced Drug Delivery Reviews (2022) Vol. 184, pp. 114194-114194
Closed Access | Times Cited: 76
Computer-aided multi-objective optimization in small molecule discovery
Jenna C. Fromer, Connor W. Coley
Patterns (2023) Vol. 4, Iss. 2, pp. 100678-100678
Open Access | Times Cited: 65
Chemical language models for de novo drug design: Challenges and opportunities
Francesca Grisoni
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102527-102527
Open Access | Times Cited: 53
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back
Brent A. Koscher, Richard B. Canty, Matthew A. McDonald, et al.
Science (2023) Vol. 382, Iss. 6677
Open Access | Times Cited: 43
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