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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:

OSCAR: an extensive repository of chemically and functionally diverse organocatalysts
Simone Gallarati, Puck van Gerwen, Rubén Laplaza, et al.
Chemical Science (2022) Vol. 13, Iss. 46, pp. 13782-13794
Open Access | Times Cited: 23

Showing 23 citing articles:

Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery
Zhengkai Tu, Thijs Stuyver, Connor W. Coley
Chemical Science (2022) Vol. 14, Iss. 2, pp. 226-244
Open Access | Times Cited: 66
Dataset Design for Building Models of Chemical Reactivity
Priyanka Raghavan, Brittany C. Haas, Madeline E. Ruos, et al.
ACS Central Science (2023) Vol. 9, Iss. 12, pp. 2196-2204
Open Access | Times Cited: 31
A Data-Driven Workflow for Assigning and Predicting Generality in Asymmetric Catalysis
Isaiah O. Betinol, Junshan Lai, Saumya Thakur, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 23, pp. 12870-12883
Closed Access | Times Cited: 23
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
COMPAS-2: a dataset of cata-condensed hetero-polycyclic aromatic systems
Eduardo Mayo Yanes, Sabyasachi Chakraborty, Renana Gershoni‐Poranne
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Machine learning and DFT coupling: A powerful approach to explore organic amine catalysts for ring-opening polymerization reaction
Haoliang Zhong, Ying Wu, Xu Li, et al.
Chemical Engineering Science (2024) Vol. 292, pp. 119955-119955
Closed Access | Times Cited: 4
Towards a comprehensive data infrastructure for redox-active organic molecules targeting non-aqueous redox flow batteries
Rebekah Duke, Vinayak Bhat, Parker Sornberger, et al.
Digital Discovery (2023) Vol. 2, Iss. 4, pp. 1152-1162
Open Access | Times Cited: 9
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
AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed Access | Times Cited: 2
Automated prediction of ground state spin for transition metal complexes
Yuri Cho, Rubén Laplaza, Sergi Vela, et al.
Digital Discovery (2024) Vol. 3, Iss. 8, pp. 1638-1647
Open Access | Times Cited: 2
Combining Molecular Quantum Mechanical Modeling and Machine Learning for Accelerated Reaction Screening and Discovery
Nicholas Casetti, Javier Emilio Alfonso Ramos, Connor W. Coley, et al.
Chemistry - A European Journal (2023) Vol. 29, Iss. 60
Closed Access | Times Cited: 5
From Organic Fragments to Photoswitchable Catalysts: The OFF–ON Structural Repository for Transferable Kernel-Based Potentials
Frédéric Célerse, Matthew D. Wodrich, Sergi Vela, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1201-1212
Open Access | Times Cited: 1
Recent advances of machine learning applications in the development of experimental homogeneous catalysis
Nil Sanosa, David Dalmau, Diego Sampedro, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100068-100068
Open Access | Times Cited: 1
Catalysing (organo-)catalysis: Trends in the application of machine learning to enantioselective organocatalysis
Stefan P. Schmid, Leon Schlosser, Frank Glorius, et al.
Beilstein Journal of Organic Chemistry (2024) Vol. 20, pp. 2280-2304
Open Access | Times Cited: 1
Computational methods for asymmetric catalysis
Sharon Pinus, Jérôme Genzling, Mihai Burai Patrascu, et al.
Nature Catalysis (2024)
Closed Access | Times Cited: 1
Identification via Virtual Screening of Emissive Molecules with a Small Exciton–Vibration Coupling for High Color Purity and Potential Large Exciton Delocalization
Xiaoyu Xie, Alessandro Troisi
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 17, pp. 4119-4126
Open Access | Times Cited: 4
Classification of Hemilabile Ligands Using Machine Learning
Ilia Kevlishvili, Chenru Duan, Heather J. Kulik
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 49, pp. 11100-11109
Closed Access | Times Cited: 3
Precise Clearance of Intracellular MRSA via Internally and Externally Mediated Bioorthogonal Activation of Micro/Nano Hydrogel Microspheres
Jianye Yang, Li Chen, Zhengwei Cai, et al.
Advanced Science (2024)
Open Access
Automated Prediction of Ground State Spin for Transition Metal Complexes
Yuri Cho, Rubén Laplaza, Sergi Vela, et al.
(2024)
Open Access
Catalyzing Change: The Power of Computational Asymmetric Catalysis
Sharon Pinus, Jérôme Genzling, Mihai Burai Patrascu, et al.
(2023)
Open Access | Times Cited: 1
An Unsupervised Machine Learning Workflow for Assigning and Predicting Generality in Asymmetric Catalysis
Isaiah O. Betinol, Junshan Lai, Saumya Thakur, et al.
(2023)
Open Access
The COMPAS Project: A Computational Database of Polycyclic Aromatic Systems. Phase 2: cata-condensed Hetero-Polycyclic Aromatic Systems
Eduardo Mayo Yanes, Sabyasachi Chakraborty, Renana Gershoni‐Poranne
(2023)
Open Access
An Unsupervised Machine Learning Workflow for Assigning and Predicting Generality in Asymmetric Catalysis
Isaiah O. Betinol, Saumya Thakur, Jolene P. Reid
(2022)
Open Access
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