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:

Chemical space: limits, evolution and modelling of an object bigger than our universal library
Guillermo Restrepo
Digital Discovery (2022) Vol. 1, Iss. 5, pp. 568-585
Open Access | Times Cited: 23

Showing 23 citing articles:

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: 46

Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of Materials
Jonathan Schmidt, Noah Hoffmann, Hai‐Chen Wang, et al.
Advanced Materials (2023) Vol. 35, Iss. 22
Open Access | Times Cited: 33

Natural Product Synthesis in the 21st Century: Beyond the Mountain Top
Ryan A. Shenvi
ACS Central Science (2024) Vol. 10, Iss. 3, pp. 519-528
Open Access | Times Cited: 13

A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 13

Transformers and Large Language Models for Chemistry and Drug Discovery
Andres M. Bran, Philippe Schwaller
(2024), pp. 143-163
Closed Access | Times Cited: 6

Catalytic Intramolecular Ketone Haloacylation Enabled Stereoselective Heterolytic Cleavage of Cyclopropyl Ketones with Enhanced Reactivity and Regioselectivity beyond Electronics
Siling Lei, Haoran Wang, Sunewang R. Wang
Organic Letters (2024) Vol. 26, Iss. 19, pp. 4111-4116
Closed Access | Times Cited: 4

Synthetic data enable experiments in atomistic machine learning
John L. A. Gardner, Zoé Faure Beaulieu, Volker L. Deringer
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 651-662
Open Access | Times Cited: 10

Machine learning of atomic force microscopy images of organic solar cells
Yasuhito Kobayashi, Yuta Miyake, Fumitaka Ishiwari, et al.
RSC Advances (2023) Vol. 13, Iss. 22, pp. 15107-15113
Open Access | Times Cited: 8

Identification of SARS-CoV-2 Main Protease Inhibitors Using Chemical Similarity Analysis Combined with Machine Learning
K. Eurídice Juárez‐Mercado, Milton Abraham Gómez-Hernández, Juana Salinas-Trujano, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 2, pp. 240-240
Open Access | Times Cited: 3

Stochastic machine learning via sigma profiles to build a digital chemical space
Dinis O. Abranches, Edward J. Maginn, Yamil J. Colón
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 31
Open Access | Times Cited: 2

Conformational Analysis of 1,5-Diaryl-3-Oxo-1,4-Pentadiene Derivatives: A Nuclear Overhauser Effect Spectroscopy Investigation
Konstantin V. Belov, Valery K. Brel, Valentina V. Sobornova, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 23, pp. 16707-16707
Open Access | Times Cited: 5

Chemically inspired Erdős–Rényi hypergraphs
Angel García-Chung, Marisol Bermúdez‐Montaña, Peter F. Stadler, et al.
Journal of Mathematical Chemistry (2024) Vol. 62, Iss. 6, pp. 1357-1383
Closed Access | Times Cited: 1

The six stages of the convergence of the periodic system to its final structure
Andrés M. Bran, Peter F. Stadler, Jürgen Jost, et al.
Communications Chemistry (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 3

In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, et al.
(2023)
Open Access | Times Cited: 3

Self-reinforcing Mechanisms Driving the Evolution of the Chemical Space
Jürgen Jost, Guillermo Restrepo
Perspectives on Science (2023) Vol. 31, Iss. 5, pp. 555-593
Closed Access | Times Cited: 2

A Comparative Review of GPT-4’s Applications in Medicine and High Decision Making
Rea Bitri, Maaruf Ali
(2023), pp. 61-68
Closed Access | Times Cited: 2

Community‐Science‐ Projekte in der Wissenschaft
Fabian Ließmann, Anja Landsmann, Jan Rossa, et al.
Chemie in unserer Zeit (2024)
Closed Access

Spaces of mathematical chemistry
Guillermo Restrepo
Theory in Biosciences (2024)
Open Access

Approaching history of chemistry through big data on chemical reactions and compounds
Guillermo Restrepo
Elsevier eBooks (2023), pp. 171-186
Closed Access

Computational History: Challenges and Opportunities of Formal Approaches
Jürgen Jost, Roberto Lalli, Manfred D. Laubichler, et al.
Journal of Social Computing (2023) Vol. 4, Iss. 3, pp. 232-242
Open Access

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