Open Access Helper

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:

Enhanced Sampling of Crystal Nucleation with Graph Representation Learnt Variables
Ziyue Zou, Pratyush Tiwary
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 12, pp. 3037-3045
Open Access | Times Cited: 9

Showing 9 citing articles:

Long-Range Electrostatics in Serine Proteases: Machine Learning-Driven Reaction Sampling Yields Insights for Enzyme Design
Alexander Zlobin, Valentina Maslova, Julia Beliaeva, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
IceCoder: Identification of Ice Phases in Molecular Simulation Using Variational Autoencoder
Dibyendu Maity, Suman Chakrabarty
Journal of Chemical Theory and Computation (2025)
Open Access
Slow dynamical modes from static averages
Timothée Devergne, Vladimir Kostić, Massimiliano Pontil, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 12
Closed Access
Machine Learning Classification of Local Environments in Molecular Crystals
Daisuke Kuroshima, Michael Kilgour, Mark E. Tuckerman, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 14, pp. 6197-6206
Open Access | Times Cited: 3
Everything everywhere all at once: a probability-based enhanced sampling approach to rare events
Enrico Trizio, Pei‐Lin Kang, Michele Parrinello
Nature Computational Science (2025)
Closed Access
Classification of complex local environments in systems of particle shapes through shape symmetry-encoded data augmentation
Shih-Kuang Lee, Sun-Ting Tsai, Sharon C. Glotzer
The Journal of Chemical Physics (2024) Vol. 160, Iss. 15
Open Access | Times Cited: 2
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kinetics
Ziyue Zou, Dedi Wang, Pratyush Tiwary
Digital Discovery (2024) Vol. 4, Iss. 1, pp. 211-221
Open Access | Times Cited: 2
Descriptor-Free Collective Variables from Geometric Graph Neural Networks
Jintu Zhang, Leo H. Bonati, Enrico Trizio, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 24, pp. 10787-10797
Closed Access | Times Cited: 2
Atomic scale insights into NaCl nucleation in nanoconfined environments
Ruiyu Wang, Pratyush Tiwary
Chemical Science (2024) Vol. 15, Iss. 37, pp. 15391-15398
Open Access | Times Cited: 1
Rotationally invariant local bond order parameters for accurate determination of hydrate structures
Iván M. Zerón, Jesús Algaba, José Manuel Mı́guez, et al.
Molecular Physics (2024) Vol. 122, Iss. 21-22
Open Access | Times Cited: 1
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