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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:

An exploration of machine learning models for the determination of reaction coordinates associated with conformational transitions
Nawavi Naleem, Charlles R. A. Abreu, Krzysztof Warmuz, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 3
Open Access | Times Cited: 11

Showing 11 citing articles:

Collective Variable-Based Enhanced Sampling: From Human Learning to Machine Learning
Haohao Fu, Hengwei Bian, Xueguang Shao, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 6, pp. 1774-1783
Closed Access | Times Cited: 9
Advances in the Simulations of Enzyme Reactivity in the Dawn of the Artificial Intelligence Age
Katarzyna Świderek, J. Bertrán, Kirill Zinovjev, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2025) Vol. 15, Iss. 1
Open Access
Unveiling interatomic distances influencing the reaction coordinates in alanine dipeptide isomerization: An explainable deep learning approach
Kazushi Okada, Takuma Kikutsuji, Kei-ichi Okazaki, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 17
Open Access | Times Cited: 1
Evaluation of Machine Learning Models for Aqueous Solubility Prediction in Drug Discovery
Nian Xue, Yuzhu Zhang, Sensen Liu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Minimal Peptoid Dynamics Inform Self-Assembly Propensity
Hamish W. A. Swanson, King Hang Aaron Lau, Tell Tuttle
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 49, pp. 10601-10614
Open Access | Times Cited: 2
Molecular Simulation Meets Machine Learning
Richard J. Sadus
Journal of Chemical & Engineering Data (2023) Vol. 69, Iss. 1, pp. 3-11
Closed Access | Times Cited: 2
Evaluation of Machine Learning Models for Aqueous Solubility Prediction in Drug Discovery
Nian Xue, Yuzhu Zhang, Sensen Liu
(2024), pp. 26-33
Open Access
Optimized Collective Variable for Collapse Transition in Linear Hydrophobic Polymers: Importance of Hydration Water and End-to-End Distance
Saikat Dhibar, Biman Jana
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 17, pp. 7404-7415
Closed Access
Enhanced and Efficient Predictions of Dynamic Ionization through Constant-pH Adiabatic Free Energy Dynamics
Richard S. Hong, Busayo D. Alagbe, Alessandra Mattei, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 22, pp. 10010-10021
Open Access
Unbiased learning of protein conformational representation via unsupervised random forest
Mohammad Sahil, Navjeet Ahalawat, Jagannath Mondal
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Toward a structural identification of metastable molecular conformations
Simon Lemcke, Jörn Appeldorn, Michael Wand, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 11
Open Access | Times Cited: 1
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