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:

Bottom-up Coarse-Graining: Principles and Perspectives
Jaehyeok Jin, Alexander J. Pak, Aleksander E. P. Durumeric, et al.
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 10, pp. 5759-5791
Open Access | Times Cited: 168

Showing 26-50 of 168 citing articles:

Bringing Quantum Mechanics to Coarse-Grained Soft Materials Modeling
Chun-I Wang, Nicholas E. Jackson
Chemistry of Materials (2023) Vol. 35, Iss. 4, pp. 1470-1486
Closed Access | Times Cited: 15

Integrating Machine Learning in the Coarse-Grained Molecular Simulation of Polymers
Eleonora Ricci, Niki Vergadou
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 11, pp. 2302-2322
Closed Access | Times Cited: 15

Mesoscale simulations: An indispensable approach to understand biomembranes
Anna L. Duncan, Weria Pezeshkian
Biophysical Journal (2023) Vol. 122, Iss. 11, pp. 1883-1889
Open Access | Times Cited: 14

The confluence of machine learning and multiscale simulations
Harsh Bhatia, Fikret Aydin, Timothy S. Carpenter, et al.
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102569-102569
Open Access | Times Cited: 14

Temperature Transferable and Thermodynamically Consistent Coarse-Grained Model for Binary Polymer Systems
Xu-Ze Zhang, Zhong‐Yuan Lu, Hu‐Jun Qian
Macromolecules (2023) Vol. 56, Iss. 10, pp. 3739-3753
Closed Access | Times Cited: 14

Transferable Implicit Solvation via Contrastive Learning of Graph Neural Networks
Justin Airas, Xinqiang Ding, Bin Zhang
ACS Central Science (2023) Vol. 9, Iss. 12, pp. 2286-2297
Open Access | Times Cited: 14

Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient Models
Timothy D. Loose, Patrick G. Sahrmann, Thomas S. Qu, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 49, pp. 10564-10572
Closed Access | Times Cited: 13

Martini on the Rocks: Can a Coarse-Grained Force Field Model Crystals?
A. Hosseini, David van der Spoel
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 4, pp. 1079-1088
Open Access | Times Cited: 5

Challenges in modelling dynamic processes in realistic nanostructured materials at operating conditions
Véronique Van Speybroeck
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2250
Open Access | Times Cited: 12

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

Improved Protein Dynamics and Hydration in the Martini3 Coarse-Grain Model
Shalmali Kharche, Manjul Yadav, Vrushali R. Hande, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 837-850
Closed Access | Times Cited: 4

All-Atom Biomolecular Simulation in the Exascale Era
Thomas L. Beck, Paolo Carloni, D. Asthagiri
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 5, pp. 1777-1782
Closed Access | Times Cited: 4

Structural Coarse-Graining via Multiobjective Optimization with Differentiable Simulation
Zhenghao Wu, Tianhang Zhou
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 6, pp. 2605-2617
Closed Access | Times Cited: 4

Sampling thermodynamic ensembles of molecular systems with generative neural networks: Will integrating physics-based models close the generalization gap?
Grant M. Rotskoff
Current Opinion in Solid State and Materials Science (2024) Vol. 30, pp. 101158-101158
Closed Access | Times Cited: 4

Accessing the electronic structure of liquid crystalline semiconductors with bottom-up electronic coarse-graining
Chun-I Wang, J. Charlie Maier, Nicholas E. Jackson
Chemical Science (2024) Vol. 15, Iss. 22, pp. 8390-8403
Open Access | Times Cited: 4

Asymmetry in Polymer–Solvent Interactions Yields Complex Thermoresponsive Behavior
Satyen Dhamankar, Michael Webb
ACS Macro Letters (2024) Vol. 13, Iss. 7, pp. 818-825
Open Access | Times Cited: 4

On the emergence of machine-learning methods in bottom-up coarse-graining
Patrick G. Sahrmann, Gregory A. Voth
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102972-102972
Closed Access

A Neural-Network-Based Mapping and Optimization Framework for High-Precision Coarse-Grained Simulation
Zhixuan Zhong, Lifeng Xu, Jian Jiang
Journal of Chemical Theory and Computation (2025)
Open Access

Entropy-based methods for formulating bottom-up ultra-coarse-grained models
Patrick G. Sahrmann, Gregory A. Voth
The Journal of Chemical Physics (2025) Vol. 162, Iss. 4
Open Access

Artificial Intelligence and Multiscale Modeling for Sustainable Biopolymers and Bioinspired Materials
Xing Quan Wang, Zeqing Jin, Dharneedar Ravichandran, et al.
Advanced Materials (2025)
Closed Access

Can Coarse-Grained Molecular Dynamics Simulations Predict Pharmaceutical Crystal Growth?
Liu Shi, Futianyi Wang, Taraknath Mandal, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access

Unraveling internal friction in a coarse-grained protein model
Carlos Monago, J. A. de la Torre, Rafael Delgado‐Buscalioni, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 11
Closed Access

CGsmiles: A Versatile Line Notation for Molecular Representations across Multiple Resolutions
Fabian Grünewald, Leif Seute, Riccardo Alessandri, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

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