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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 fields from large-scale quantum chemical data
Kenichiro Takaba, Anika J. Friedman, Chapin E. Cavender, et al.
Chemical Science (2024) Vol. 15, Iss. 32, pp. 12861-12878
Open Access | Times Cited: 13

Showing 13 citing articles:

Grappa – a machine learned molecular mechanics force field
Leif Seute, Eric Hartmann, Jan Stühmer, et al.
Chemical Science (2025)
Open Access | Times Cited: 1
Scaling Graph Neural Networks to Large Proteins
Justin Airas, Bin Zhang
Journal of Chemical Theory and Computation (2025)
Open Access | Times Cited: 1
Perspectives on Molecular Simulation of CO2/CH4 Competitive Adsorption in a Shale Matrix: A Review
Yuanxiu Sun, Yijie Ma, Bo Yu, et al.
Energy & Fuels (2024) Vol. 38, Iss. 17, pp. 15935-15971
Closed Access | Times Cited: 5
Validating Structural Predictions of Conjugated Macromolecules in Espaloma-Enabled Reproducible Workflows
Madilyn E. Paul, Chris Jones, Eric Jankowski
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 2, pp. 478-478
Open Access
Fine-tuning molecular mechanics force fields to experimental free energy measurements
Dominic A. Rufa, Josh Fass, John D. Chodera
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Molecular dynamics and machine learning unlock possibilities in beauty design—A perspective
Yuzhi Xu, Haowei Ni, Fanyu Zhao, et al.
AIP Advances (2025) Vol. 15, Iss. 1
Open Access
How does machine learning augment alchemical binding free energy calculations?
Ingo Muegge, Ge Yunhui
Future Medicinal Chemistry (2025), pp. 1-3
Closed Access
End-To-End Learning of Classical Interatomic Potentials for Benchmarking Anion Polarization Effects in Lithium Polymer Electrolytes
Pablo A. Leon, Avni Singhal, Jurģis Ruža, et al.
Chemistry of Materials (2025)
Closed Access
Toward Predictive Coarse-Grained Simulations of Biomolecular Condensates
Shuming Liu, Cong Wang, Bin Zhang
Biochemistry (2025)
Closed Access
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
Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space Coverage
Tianze Zheng, Ailun Wang, Xu Han, et al.
Chemical Science (2024)
Open Access | Times Cited: 3
Advances and Challenges in Milestoning Simulations for Drug–Target Kinetics
Anupam Anand Ojha, Lane Votapka, Rommie E. Amaro
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 22, pp. 9759-9769
Open Access | Times Cited: 1
Research Statement: First-principle graph equivariant machine learning for drug discovery
Yuanqing Wang
(2024)
Open Access
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