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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:

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: 204

Showing 1-25 of 204 citing articles:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 184
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: 169
A Survey on Generative Diffusion Models
Hanqun Cao, Cheng Tan, Zhangyang Gao, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 2814-2830
Closed Access | Times Cited: 113
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
D. Torbunov, Yi Huang, H. Yu, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 702-712
Open Access | Times Cited: 96
Exploring catalytic reaction networks with machine learning
Johannes T. Margraf, Hyunwook Jung, Christoph Scheurer, et al.
Nature Catalysis (2023) Vol. 6, Iss. 2, pp. 112-121
Closed Access | Times Cited: 91
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: 76
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
Reinvent 4: Modern AI–driven generative molecule design
Hannes H. Loeffler, Jiazhen He, Alessandro Tibo, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 56
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics
Kyle Swanson, Gary Liu, Denise B. Catacutan, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 338-353
Closed Access | Times Cited: 50
High-throughput property-driven generative design of functional organic molecules
Julia Westermayr, Joe Gilkes, Rhyan Barrett, et al.
Nature Computational Science (2023) Vol. 3, Iss. 2, pp. 139-148
Open Access | Times Cited: 48
How will generative AI disrupt data science in drug discovery?
Jean‐Philippe Vert
Nature Biotechnology (2023) Vol. 41, Iss. 6, pp. 750-751
Closed Access | Times Cited: 48
How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons
Madura K P Jayatunga, Margaret Ayers, Lotte Bruens, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 6, pp. 104009-104009
Open Access | Times Cited: 35
GIT-Mol: A multi-modal large language model for molecular science with graph, image, and text
Pengfei Liu, Yiming Ren, Jun Tao, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108073-108073
Open Access | Times Cited: 25
Current and future directions in network biology
Marinka Žitnik, Michelle M. Li, A. V. Wells, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 20
Invalid SMILES are beneficial rather than detrimental to chemical language models
Michael A. Skinnider
Nature Machine Intelligence (2024) Vol. 6, Iss. 4, pp. 437-448
Open Access | Times Cited: 17
Molecular Machine Learning for Chemical Catalysis: Prospects and Challenges
Sukriti Singh, Raghavan B. Sunoj
Accounts of Chemical Research (2023) Vol. 56, Iss. 3, pp. 402-412
Closed Access | Times Cited: 35
cMolGPT: A Conditional Generative Pre-Trained Transformer for Target-Specific De Novo Molecular Generation
Ye Wang, Honggang Zhao, Simone Sciabola, et al.
Molecules (2023) Vol. 28, Iss. 11, pp. 4430-4430
Open Access | Times Cited: 35
Guided diffusion for inverse molecular design
Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, et al.
Nature Computational Science (2023) Vol. 3, Iss. 10, pp. 873-882
Open Access | Times Cited: 34
Deep learning tools to accelerate antibiotic discovery
Angela Cesaro, Mojtaba Bagheri, Marcelo D. T. Torres, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1245-1257
Closed Access | Times Cited: 29
Data-Driven Elucidation of Flavor Chemistry
Xingran Kou, Peiqin Shi, Chukun Gao, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 18, pp. 6789-6802
Open Access | Times Cited: 28
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 28
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: 23
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: 13
Sample efficient reinforcement learning with active learning for molecular design
Michael Dodds, Jeff Guo, Thomas Löhr, et al.
Chemical Science (2024) Vol. 15, Iss. 11, pp. 4146-4160
Open Access | Times Cited: 11
Gotta be SAFE: a new framework for molecular design
Emmanuel Noutahi, Cristian Gabellini, Michael Craig, et al.
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 796-804
Open Access | Times Cited: 11
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