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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:

Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular Interactions
Alexey Illarionov, Serzhan Sakipov, Leonid Pereyaslavets, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 43, pp. 23620-23629
Open Access | Times Cited: 22

Showing 22 citing articles:

Differentiable simulation to develop molecular dynamics force fields for disordered proteins
Joe G. Greener
Chemical Science (2024) Vol. 15, Iss. 13, pp. 4897-4909
Open Access | Times Cited: 13
Quantum mechanical-based strategies in drug discovery: Finding the pace to new challenges in drug design
Tiziana Ginex, Javier Vázquez, Carolina Estarellas, et al.
Current Opinion in Structural Biology (2024) Vol. 87, pp. 102870-102870
Open Access | Times Cited: 12
Application of Modern Artificial Intelligence Techniques in the Development of Organic Molecular Force Fields
Junmin Chen, Qian Gao, Miaofei Huang, et al.
Physical Chemistry Chemical Physics (2025)
Closed Access | Times Cited: 1
Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
Malte Esders, Thomas Schnake, Jonas Lederer, et al.
Journal of Chemical Theory and Computation (2025)
Open Access | Times Cited: 1
An Intelligent Prediction Model for the Synthesis Conditions of Metal–Organic Frameworks Utilizing Artificial Neural Networks Enhanced by Genetic Algorithm Optimization
Guangying Jin, Ran Wei, M. Zhang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 1
Advancing Force Fields Parameterization: A Directed Graph Attention Networks Approach
Gong Chen, Théo Jaffrelot Inizan, Thomas Plé, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 13, pp. 5558-5569
Closed Access | Times Cited: 7
FeNNol: An efficient and flexible library for building force-field-enhanced neural network potentials
Thomas Plé, Olivier Adjoua, Louis Lagardère, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 4
Open Access | Times Cited: 6
The Determination of Free Energy of Hydration of Water Ions from First Principles
Oleg Butin, Leonid Pereyaslavets, Ganesh Kamath, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 12, pp. 5215-5224
Closed Access | Times Cited: 5
Neural Network Corrections to Intermolecular Interaction Terms of a Molecular Force Field Capture Nuclear Quantum Effects in Calculations of Liquid Thermodynamic Properties
Igor V. Kurnikov, Leonid Pereyaslavets, Ganesh Kamath, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 1347-1357
Open Access | Times Cited: 4
Incorporating Neural Networks into the AMOEBA Polarizable Force Field
Yanxing Wang, Théo Jaffrelot Inizan, Chengwen Liu, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 10, pp. 2381-2388
Open Access | Times Cited: 4
Synergistic Integration of Physical Embedding and Machine Learning Enabling Precise and Reliable Force Field
Lifeng Xu, Jian Jiang
Journal of Chemical Theory and Computation (2024)
Closed Access | Times Cited: 4
On the design space between molecular mechanics and machine learning force fields
Yuanqing Wang, Kenichiro Takaba, Michael S. Chen, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 2
Open Access
Combining Force Fields and Neural Networks for an Accurate Representation of Bonded Interactions
Ganesh Kamath, Alexey Illarionov, Serzhan Sakipov, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 4, pp. 807-812
Open Access | Times Cited: 3
Pathways to a Shiny Future: Building the Foundation for Computational Physical Chemistry and Biophysics in 2050
Denys Biriukov, Robert Vácha
ACS Physical Chemistry Au (2024) Vol. 4, Iss. 4, pp. 302-313
Open Access | Times Cited: 3
Drugs from drugs: New chemical insights into a mature concept
Eloy Lozano Baró, Federica Catti, Carolina Estarellas, et al.
Drug Discovery Today (2024), pp. 104212-104212
Open Access | Times Cited: 2
Modeling solvation dynamics of transition metal redox ion through on-the-fly multi-objective Bayesian-optimized force field
Yuchi Chen, Qiangqiang Huang, Te‐Huan Liu, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 12
Closed Access | Times Cited: 1
Differentiable simulation to develop molecular dynamics force fields for disordered proteins
Joe G. Greener
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
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
Combining Force Fields and Neural Networks for an Accurate Representation of Bonded Interactions
Ganesh Kamath, Alexey Illarionov, Serzhan Sakipov, et al.
(2023)
Open Access | Times Cited: 1
The determination of free energy of hydration of water ions from first principles.
Oleg Butin, Leonid Pereyaslavets, Ganesh Kamath, et al.
(2023)
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
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