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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:

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 1-25 of 168 citing articles:

Perspective: Advances, Challenges, and Insight for Predictive Coarse-Grained Models
W. G. Noid
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 19, pp. 4174-4207
Open Access | Times Cited: 78
Machine learning coarse-grained potentials of protein thermodynamics
Maciej Majewski, Adrià Pérez, Philipp Thölke, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 56
Machine learned coarse-grained protein force-fields: Are we there yet?
Aleksander E. P. Durumeric, Nicholas E. Charron, Clark Templeton, et al.
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102533-102533
Open Access | Times Cited: 53
Pragmatic Coarse-Graining of Proteins: Models and Applications
Luís Borges-Araújo, Ilias Patmanidis, Akhil Pratap Singh, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 20, pp. 7112-7135
Open Access | Times Cited: 48
Enhanced Sampling with Machine Learning
Mehdi Shams, Zachary A. Smith, Lukas Herron, et al.
Annual Review of Physical Chemistry (2024) Vol. 75, Iss. 1, pp. 347-370
Open Access | Times Cited: 47
HIV-1 capsid shape, orientation, and entropic elasticity regulate translocation into the nuclear pore complex
Arpa Hudait, Gregory A. Voth
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 4
Open Access | Times Cited: 22
Computational Methods for Modeling Lipid-Mediated Active Pharmaceutical Ingredient Delivery
Markéta Paloncýová, Mariana Valério, Ricardo Nascimento dos Santos, et al.
Molecular Pharmaceutics (2025)
Open Access | Times Cited: 2
Thermodynamics and its prediction and CALPHAD modeling: Review, state of the art, and perspectives
Zi‐Kui Liu
Calphad (2023) Vol. 82, pp. 102580-102580
Open Access | Times Cited: 35
Flow-Matching: Efficient Coarse-Graining of Molecular Dynamics without Forces
Jonas Köhler, Yaoyi Chen, Andreas Krämer, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 3, pp. 942-952
Open Access | Times Cited: 32
OpenMSCG: A Software Tool for Bottom-Up Coarse-Graining
Yuxing Peng, Alexander J. Pak, Aleksander E. P. Durumeric, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 40, pp. 8537-8550
Open Access | Times Cited: 32
GENESIS CGDYN: large-scale coarse-grained MD simulation with dynamic load balancing for heterogeneous biomolecular systems
Jaewoon Jung, Cheng Tan, Yuji Sugita
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
A Vision for the Future of Multiscale Modeling
Matteo Capone, Marco Romanelli, Davide Castaldo, et al.
ACS Physical Chemistry Au (2024) Vol. 4, Iss. 3, pp. 202-225
Open Access | Times Cited: 11
Machine Learning in Soft Matter: From Simulations to Experiments
Kaihua Zhang, Xiangrui Gong, Ying Jiang
Advanced Functional Materials (2024) Vol. 34, Iss. 24
Closed Access | Times Cited: 9
FlowBack: A Generalized Flow-Matching Approach for Biomolecular Backmapping
Michael S. Jones, Smayan Khanna, Andrew L. Ferguson
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 1
Challenges in simulating whole virus particles and how to fix them with the SIRAH force field
Lucianna Helene Santos, Sergio Pantano
Biophysical Reviews (2025)
Closed Access | Times Cited: 1
Understanding dynamics in coarse-grained models. I. Universal excess entropy scaling relationship
Jaehyeok Jin, Kenneth S. Schweizer, Gregory A. Voth
The Journal of Chemical Physics (2022) Vol. 158, Iss. 3
Open Access | Times Cited: 31
Ensuring thermodynamic consistency with invertible coarse-graining
Shriram Chennakesavalu, David J. Toomer, Grant M. Rotskoff
The Journal of Chemical Physics (2023) Vol. 158, Iss. 12
Open Access | Times Cited: 22
Statistically Optimal Force Aggregation for Coarse-Graining Molecular Dynamics
Andreas Krämer, Aleksander E. P. Durumeric, Nicholas E. Charron, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 17, pp. 3970-3979
Open Access | Times Cited: 20
Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles
Patrick G. Sahrmann, Timothy D. Loose, Aleksander E. P. Durumeric, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 14, pp. 4402-4413
Open Access | Times Cited: 19
Automatic Optimization of Lipid Models in the Martini Force Field Using SwarmCG
Charly Empereur‐mot, Kasper B. Pedersen, Riccardo Capelli, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 12, pp. 3827-3838
Open Access | Times Cited: 19
Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview
André Nicolle, Sili Deng, Matthias Ihme, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 597-620
Closed Access | Times Cited: 7
Data-Efficient Generation of Protein Conformational Ensembles with Backbone-to-Side-Chain Transformers
Shriram Chennakesavalu, Grant M. Rotskoff
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 9, pp. 2114-2123
Open Access | Times Cited: 7
Introducing a force-matched united atom force field to explore larger spatiotemporal domains in molecular dynamics simulations of bitumen
Eli I. Assaf, Xueyan Liu, Peng Lin, et al.
Materials & Design (2024) Vol. 240, pp. 112831-112831
Open Access | Times Cited: 7
Machines on Genes through the Computational Microscope
Souvik Sinha, Chinmai Pindi, Mohd Ahsan, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 7, pp. 1945-1964
Open Access | Times Cited: 16
Perspectives on Ligand/Protein Binding Kinetics Simulations: Force Fields, Machine Learning, Sampling, and User-Friendliness
Paolo Conflitti, Stefano Raniolo, Vittorio Limongelli
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 18, pp. 6047-6061
Open Access | Times Cited: 16
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