Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Optimizing molecules using efficient queries from property evaluations
Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, et al.
Nature Machine Intelligence (2021) Vol. 4, Iss. 1, pp. 21-31
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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
Potent antibiotic design via guided search from antibacterial activity evaluations
Lu Chen, Liang Yu, Lin Gao
Bioinformatics (2023) Vol. 39, Iss. 2
Open Access | Times Cited: 57
Machine learning-aided generative molecular design
Yuanqi Du, Arian R. Jamasb, Jeff Guo, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 589-604
Closed Access | Times Cited: 31
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 17
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening
Jack Scantlebury, Lucy Vost, Anna Carbery, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2960-2974
Open Access | Times Cited: 28
Accelerating drug target inhibitor discovery with a deep generative foundation model
Vijil Chenthamarakshan, Samuel C. Hoffman, David Owen, et al.
Science Advances (2023) Vol. 9, Iss. 25
Open Access | Times Cited: 22
Accelerating material design with the generative toolkit for scientific discovery
Matteo Manica, Jannis Born, Joris Cadow, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 21
Artificial intelligence-driven antimicrobial peptide discovery
Paulina Szymczak, Ewa Szczurek
Current Opinion in Structural Biology (2023) Vol. 83, pp. 102733-102733
Open Access | Times Cited: 18
COATI: Multimodal Contrastive Pretraining for Representing and Traversing Chemical Space
Benjamin Kaufman, Edward C. Williams, Carl Underkoffler, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1145-1157
Closed Access | Times Cited: 7
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
ConoGPT: Fine-Tuning a Protein Language Model by Incorporating Disulfide Bond Information for Conotoxin Sequence Generation
Guohui Zhao, Cheng Ge, Wenzheng Han, et al.
Toxins (2025) Vol. 17, Iss. 2, pp. 93-93
Open Access
Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization
Kaiwei Zhang, Yange Lin, Guangcheng Wu, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation
Ryan‐Rhys Griffiths, Alexander A. Aldrick, Miguel García-Ortegón, et al.
Machine Learning Science and Technology (2021) Vol. 3, Iss. 1, pp. 015004-015004
Open Access | Times Cited: 22
Holistic Adversarial Robustness of Deep Learning Models
Pin‐Yu Chen, Sijia Liu
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 13, pp. 15411-15420
Open Access | Times Cited: 8
Has Artificial Intelligence Impacted Drug Discovery?
Atanas Patronov, Kostas Papadopoulos, Ola Engkvist
Methods in molecular biology (2021), pp. 153-176
Closed Access | Times Cited: 19
Optimizing Lead Compounds: The Role of Artificial Intelligence in Drug Discovery
Sarfaraz K. Niazi, Zamara Mariam, Matthias Magoola
(2024)
Open Access | Times Cited: 2
Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration
Keerthi Krishnan, Ryan Kassab, Steve Agajanian, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11262-11262
Open Access | Times Cited: 8
Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space
Xin Xia, Yiping Liu, Chun-Hou Zheng, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 13, pp. 5161-5174
Open Access | Times Cited: 1
Optimizing Accounting for Data Assets Helpful To Developing Sustainable Regional Economies
Minghui Liu, Xiaokang Chai, Wendi Xu, et al.
Information Resources Management Journal (2024) Vol. 37, Iss. 1, pp. 1-17
Open Access | Times Cited: 1
Kernel-elastic autoencoder for molecular design
Haote Li, Yu Shee, Brandon Allen, et al.
PNAS Nexus (2024) Vol. 3, Iss. 4
Open Access | Times Cited: 1
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan, Ali Madani, Ben Krause, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 7
Cloud-Based Real-Time Molecular Screening Platform with MolFormer
Brian Belgodere, Vijil Chenthamarakshan, Payel Das, et al.
Lecture notes in computer science (2023), pp. 641-644
Closed Access | Times Cited: 2
COATI: multi-modal contrastive pre-training for representing and traversing chemical space
Benjamin Kaufman, E.G.H. Williams, Carl Underkoffler, et al.
(2023)
Open Access | Times Cited: 2
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
Matteo Manica, Jannis Born, Joris Cadow, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
ChemSpacE: Interpretable and Interactive Chemical Space Exploration
Yuanqi Du, Xian Liu, Nilay D. Shah, et al.
(2022)
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top