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:

Defining and Exploring Chemical Spaces
Connor W. Coley
Trends in Chemistry (2020) Vol. 3, Iss. 2, pp. 133-145
Open Access | Times Cited: 108

Showing 26-50 of 108 citing articles:

Fake it until you make it? Generative de novo design and virtual screening of synthesizable molecules
Megan Stanley, Marwin Segler
Current Opinion in Structural Biology (2023) Vol. 82, pp. 102658-102658
Open Access | Times Cited: 19

Self-Focusing Virtual Screening with Active Design Space Pruning
David Graff, Matteo Aldeghi, Joseph A. Morrone, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 16, pp. 3854-3862
Open Access | Times Cited: 24

Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations
Nickolas Gantzler, Aryan Deshwal, Janardhan Rao Doppa, et al.
Digital Discovery (2023) Vol. 2, Iss. 6, pp. 1937-1956
Open Access | Times Cited: 13

Targeting in silico GPCR conformations with ultra-large library screening for hit discovery
Davide Sala, Hossein Batebi, Kaitlyn Ledwitch, et al.
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 3, pp. 150-161
Open Access | Times Cited: 11

Exploring the combinatorial explosion of amine–acid reaction space via graph editing
Rui Zhang, Babak Mahjour, Andrew Outlaw, et al.
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4

Natural Product Synthesis through the Lens of Informatics
Stone Woo, Ryan A. Shenvi
Accounts of Chemical Research (2021) Vol. 54, Iss. 5, pp. 1157-1167
Open Access | Times Cited: 30

Approaches for enhancing the analysis of chemical space for drug discovery
Fernanda I. Saldívar‐González, José L. Medina‐Franco
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 7, pp. 789-798
Open Access | Times Cited: 20

Probe microscopy is all you need *
Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 023001-023001
Open Access | Times Cited: 10

Multi‐Threshold Analysis for Chemical Space Mapping of Ni‐Catalyzed Suzuki‐Miyaura Couplings
Austin LeSueur, Nari Tao, Abigail G. Doyle, et al.
European Journal of Organic Chemistry (2024)
Closed Access | Times Cited: 3

FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space
Aditya Shrivastava, Douglas B. Kell
Molecules (2021) Vol. 26, Iss. 7, pp. 2065-2065
Open Access | Times Cited: 25

Generative models for inverse design of inorganic solid materials
Litao Chen, Wentao Zhang, Zhiwei Nie, et al.
Journal of Materials Informatics (2021)
Open Access | Times Cited: 22

Diversity matters: Widening the chemical space in organic solvent nanofiltration
Gergő Ignácz, Yang Cong, György Székely
Journal of Membrane Science (2021) Vol. 641, pp. 119929-119929
Open Access | Times Cited: 22

Neural Scaling of Deep Chemical Models
Nathan C. Frey, Ryan Soklaski, Simon Axelrod, et al.
(2022)
Open Access | Times Cited: 17

Genetic Algorithms for the Discovery of Homogeneous Catalysts
Simone Gallarati, Puck van Gerwen, Alexandre A. Schoepfer, et al.
CHIMIA International Journal for Chemistry (2023) Vol. 77, Iss. 1/2, pp. 39-39
Open Access | Times Cited: 8

Reinforcement learning optimization of reaction routes on the basis of large, hybrid organic chemistry–synthetic biological, reaction network data
Chonghuan Zhang, Alexei A. Lapkin
Reaction Chemistry & Engineering (2023) Vol. 8, Iss. 10, pp. 2491-2504
Open Access | Times Cited: 8

Advances in the Application of In Silico ADMET Models – An Industry Perspective
Wenyi Wang, Fjodor Melnikov, Joe Napoli, et al.
(2024), pp. 495-535
Closed Access | Times Cited: 2

An ensemble machine learning model generates a focused screening library for the identification of CDK8 inhibitors
Tony Eight Lin, Dyan Yen, Wei‐Chun HuangFu, et al.
Protein Science (2024) Vol. 33, Iss. 6
Open Access | Times Cited: 2

Machine Learning‐Assisted Design of Nitrogen‐Rich Covalent Triazine Frameworks Photocatalysts
Mingliang Wu, Zhilong Song, Yu Cui, et al.
Advanced Functional Materials (2024)
Closed Access | Times Cited: 2

Data‐Driven Discovery of Organic Electronic Materials Enabled by Hybrid Top‐Down/Bottom‐Up Design
J. Terence Blaskovits, Rubén Laplaza, Sergi Vela, et al.
Advanced Materials (2023) Vol. 36, Iss. 2
Open Access | Times Cited: 7

Recommendation System to Predict Missing Adsorption Properties of Nanoporous Materials
Árni Sturluson, Ali Raza, Grant D. McConachie, et al.
Chemistry of Materials (2021) Vol. 33, Iss. 18, pp. 7203-7216
Open Access | Times Cited: 19

GenUI: interactive and extensible open source software platform for de novo molecular generation and cheminformatics
Martin Šícho, Xuhan Liu, Daniel Svozil, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 17

Artificial Intelligence for Autonomous Molecular Design: A Perspective
Rajendra P. Joshi, Neeraj Kumar
Molecules (2021) Vol. 26, Iss. 22, pp. 6761-6761
Open Access | Times Cited: 17

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang, Doyeong Hwang, Seul Lee, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15

Predicting Redox Potentials by Graph-Based Machine Learning Methods
Linlin Jia, Éric Brémond, Larissa Zaida, et al.
(2024)
Open Access | Times Cited: 1

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