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:

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 26-50 of 46 citing articles:

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

Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 9, pp. 4322-4343
Open Access

Intelligent Query Method of Vocational Colleges Database Based on Reinforcement Learning
Jing Liu
Advances in intelligent systems research/Advances in Intelligent Systems Research (2024), pp. 548-557
Open Access

Adaptive space search-based molecular evolution optimization algorithm
Fei Wang, Xianglong Cheng, Xin Xia, et al.
Bioinformatics (2024) Vol. 40, Iss. 7
Open Access

A Retrieval-Based Molecular Style Transformation Optimization Model
Cheng Wang, Yajie Zhang, Xin Xia, et al.
Lecture notes in computer science (2024), pp. 195-206
Closed Access

Graph Curvature Flow-Based Masked Attention
Yili Chen, Wan Zheng, Yangyang Li, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access

Node embedding with capsule generation-embedding network
Jinghong Wang, Daipeng Zhang, Jianguo Wei, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 7, pp. 2511-2528
Closed Access | Times Cited: 1

The impact of artificial intelligence methods on drug design
Giuseppina Gini
Elsevier eBooks (2023), pp. 89-137
Closed Access | Times Cited: 1

Drug development accelerated by artificial intelligence
Zhengwei Xie, Hao Li
Medical Review (2023) Vol. 3, Iss. 3, pp. 193-194
Open Access | Times Cited: 1

Latent Diffusion For Conditional Generation of Molecules
Benjamin Kaufman, Edward C. Williams, Ryan Pederson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

A Step Towards Generalisability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening
Jack Scantlebury, Lucy Vost, Anna Carbery, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2

Evolutionary multi-objective molecule optimization in implicit chemical space
Yansen Su, Xin Xia, Chun-Hou Zheng, et al.
Research Square (Research Square) (2023)
Open Access

Diffusing Gaussian Mixtures for Generating Categorical Data
Florence Regol, Mark Coates
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9570-9578
Open Access

Understanding and improving zeroth-order optimization methods on AI-driven molecule optimization
Elvin Lo, Pin‐Yu Chen
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1380-1389
Open Access

Plug-in Models: A Promising Direction for Molecular Generation
Ningfeng Liu, Hongwei Jin, Liangren Zhang, et al.
Health Data Science (2023) Vol. 3
Open Access

High-Activity Enhancer Generation based on Feedback GAN with Domain Constraint and Curriculum Learning
Jia-Hao Li, Liwei Xiao, Jiawei Luo, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 30, pp. 2065-2070
Open Access

Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints
Blake Blumenfeld Gaines, Minghu Song, Jinbo Bi
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 510-515
Closed Access

Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework
Vijil Chenthamarakshan, Samuel C. Hoffman, David Owen, et al.
Research Square (Research Square) (2022)
Open Access

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