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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:

Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond
Kenichiro Takaba, Iván Pulido, Pavan Kumar Behara, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 12

Showing 12 citing articles:

The Potential of Neural Network Potentials
Timothy T. Duignan
ACS Physical Chemistry Au (2024) Vol. 4, Iss. 3, pp. 232-241
Open Access | Times Cited: 12
The Open Force Field Initiative: Open Software and Open Science for Molecular Modeling
Lily Wang, Pavan Kumar Behara, Matthew W. Thompson, et al.
The Journal of Physical Chemistry B (2024)
Open Access | Times Cited: 7
Fluorinated Protein–Ligand Complexes: A Computational Perspective
Leon Wehrhan, Bettina G. Keller
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 25, pp. 5925-5934
Open Access | Times Cited: 3
Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields
Pavan Kumar Behara, Hyesu Jang, Joshua T. Horton, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 32, pp. 7888-7902
Open Access | Times Cited: 3
Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields
Pavan Kumar Behara, Hyesu Jang, Joshua T. Horton, et al.
(2024)
Open Access | Times Cited: 2
Parameterization of General Organic Polymers within the Open Force Field Framework
Connor Davel, Timotej Bernat, Jeffrey Wagner, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1290-1305
Closed Access | Times Cited: 2
Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields
Pavan Kumar Behara, Hyesu Jang, Joshua T. Horton, et al.
(2024)
Open Access | Times Cited: 1
Benchmarking Quantum Mechanical Levels of Theory for Valence Parametrization in Force Fields
Pavan Kumar Behara, Hyesu Jang, Joshua T. Horton, et al.
(2024)
Open Access | Times Cited: 1
Incorporating Neural Networks into the AMOEBA Polarizable Force Field
Yanxing Wang, Théo Jaffrelot Inizan, Chengwen Liu, et al.
(2023)
Open Access | Times Cited: 2
Incorporating Neural Networks into the AMOEBA Polarizable Force Field
Yanxing Wang, Théo Jaffrelot Inizan, Chengwen Liu, et al.
(2023)
Open Access | Times Cited: 2
Parameterization of general organic polymers within the Open Force Field framework
Connor Davel, Timotej Bernat, Jeffrey Wagner, et al.
(2023)
Open Access
Incorporating Neural Networks into the AMOEBA Polarizable Force Field
Yanxing Wang, Théo Jaffrelot Inizan, Chengwen Liu, et al.
(2023)
Open Access
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