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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 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

Showing 1-25 of 142 citing articles:

Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65
Revolutionizing drug formulation development: The increasing impact of machine learning
Zeqing Bao, Jack Bufton, Riley J. Hickman, et al.
Advanced Drug Delivery Reviews (2023) Vol. 202, pp. 115108-115108
Closed Access | Times Cited: 43
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: 40
In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 40, pp. 21699-21716
Open Access | Times Cited: 39
Machine learning in preclinical drug discovery
Denise B. Catacutan, Jeremie Alexander, Autumn Arnold, et al.
Nature Chemical Biology (2024) Vol. 20, Iss. 8, pp. 960-973
Closed Access | Times Cited: 19
AI for targeted polypharmacology: The next frontier in drug discovery
Anna Cichońska, Balaguru Ravikumar, Rayees Rahman
Current Opinion in Structural Biology (2024) Vol. 84, pp. 102771-102771
Closed Access | Times Cited: 17
Embracing data science in catalysis research
Manu Suvarna, Javier Pérez‐Ramírez
Nature Catalysis (2024) Vol. 7, Iss. 6, pp. 624-635
Closed Access | Times Cited: 16
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: 14
Geometry-complete diffusion for 3D molecule generation and optimization
Alex Morehead, Jianlin Cheng
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 12
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: 27
Machine learning in process systems engineering: Challenges and opportunities
Pródromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, et al.
Computers & Chemical Engineering (2023) Vol. 181, pp. 108523-108523
Open Access | Times Cited: 26
MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 23
Directional multiobjective optimization of metal complexes at the billion-system scale
Hannes Kneiding, Ainara Nova, David Balcells
Nature Computational Science (2024) Vol. 4, Iss. 4, pp. 263-273
Open Access | Times Cited: 11
Allosteric drugs: New principles and design approaches
Wei-Ven Tee, Igor N. Berezovsky
Current Opinion in Structural Biology (2024) Vol. 84, pp. 102758-102758
Closed Access | Times Cited: 10
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: 9
Efficacious human metapneumovirus vaccine based on AI-guided engineering of a closed prefusion trimer
Mark J. G. Bakkers, Tina Ritschel, Machteld M. Tiemessen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Automated Generation and Analysis of Molecular Images Using Generative Artificial Intelligence Models
Zhiwen Zhu, Jiayi Lu, Shaoxuan Yuan, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 7, pp. 1985-1992
Closed Access | Times Cited: 7
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: 7
A genetic optimization strategy with generality in asymmetric organocatalysis as a primary target
Simone Gallarati, Puck van Gerwen, Rubén Laplaza, et al.
Chemical Science (2024) Vol. 15, Iss. 10, pp. 3640-3660
Open Access | Times Cited: 6
COATI: Multimodal Contrastive Pretraining for Representing and Traversing Chemical Space
Benjamin Kaufman, Edward Williams, Carl Underkoffler, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1145-1157
Closed Access | Times Cited: 6
The AI-driven Drug Design (AIDD) platform: an interactive multi-parameter optimization system integrating molecular evolution with physiologically based pharmacokinetic simulations
Jeremy O. Jones, Robert D. Clark, Michael S. Lawless, et al.
Journal of Computer-Aided Molecular Design (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 6
Methods and applications of machine learning in computational design of optoelectronic semiconductors
Xiaoyu Yang, Kun Zhou, Xin He, et al.
Science China Materials (2024) Vol. 67, Iss. 4, pp. 1042-1081
Closed Access | Times Cited: 6
Application of machine learning in polyimide structure design and property regulation
Wenjia Huo, Haiyue Wang, Liying Guo, et al.
High Performance Polymers (2025)
Closed Access
Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development
Zhiyong Cui, Chong Qi, Tianxing Zhou, et al.
Comprehensive Reviews in Food Science and Food Safety (2025) Vol. 24, Iss. 1
Closed Access
Machine learning in electrocatalysis - living up to the hype?
Árni Björn Höskuldsson
Current Opinion in Electrochemistry (2025), pp. 101649-101649
Closed Access
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