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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:

Leveraging genetic algorithms to maximise the predictive capabilities of the SOAP descriptor
Trent Barnard, Steven Tseng, James P. Darby, et al.
Molecular Systems Design & Engineering (2022) Vol. 8, Iss. 3, pp. 300-315
Open Access | Times Cited: 10

Showing 10 citing articles:

Construction of High Accuracy Machine Learning Interatomic Potential for Surface/Interface of Nanomaterials—A Review
Kaiwei Wan, Jianxin He, Xinghua Shi
Advanced Materials (2023) Vol. 36, Iss. 22
Closed Access | Times Cited: 18
Machine-Learning Strategies for the Accurate and Efficient Analysis of X-ray Spectroscopy
Thomas J. Penfold, Luke Watson, Clelia Middleton, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 021001-021001
Open Access | Times Cited: 3
Data-driven discovery of potent small molecule ice recrystallisation inhibitors
Matthew T. Warren, Caroline I. Biggs, Akalabya Bissoyi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Machine Learning Seams of Conical Intersection: A Characteristic Polynomial Approach
Tzu Yu Wang, Simon P. Neville, Michael S. Schuurman
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 35, pp. 7780-7786
Open Access | Times Cited: 9
Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute–Lipid Interactions
Justus Johann Lange, Andrea Anelli, Jochem Alsenz, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 7, pp. 3343-3355
Open Access | Times Cited: 2
Combining machine learning and molecular simulations to predict the stability of amorphous drugs
Trent Barnard, Gabriele C. Sosso
The Journal of Chemical Physics (2023) Vol. 159, Iss. 1
Open Access | Times Cited: 6
DFTB Simulation of Charged Clusters Using Machine Learning Charge Inference
Paul Guibourg, Léo Dontot, P.-M. Anglade, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 9, pp. 4007-4018
Open Access | Times Cited: 1
A fuzzy classification framework to identify equivalent atoms in complex materials and molecules
King C. Lai, Sebastian Matera, Christoph Scheurer, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 2
Open Access | Times Cited: 1
Data-driven Discovery of Potent Small Molecule Ice Recrystallisation Inhibitors
Matthew T. Warren, Caroline I. Biggs, Akalabya Bissoyi, et al.
(2023)
Open Access | Times Cited: 1
Machine Learning Seams of Conical Intersection: A Characteristic Polynomial Approach
Tzu Yu Wang, Simon P. Neville, Michael S. Schuurman
(2023)
Open Access
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