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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:

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

Showing 19 citing articles:

Scaling Graph Neural Networks to Large Proteins
Justin Airas, Bin Zhang
Journal of Chemical Theory and Computation (2025)
Open Access | Times Cited: 1
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
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
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
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
Martini 3 coarse-grained model of enzymes: Framework with validation by all-atom simulations and x-ray diffraction measurements
Mason Hooten, N. Sanjeeva Murthy, Nityananda Pal, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 13
Closed Access
Formalizing Coarse-Grained Representations of Anisotropic Interactions at Multimeric Protein Interfaces Using Virtual Sites
Luc F. Christians, Ethan V. Halingstad, Emiel Kram, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 6, pp. 1394-1406
Closed Access | Times Cited: 2
A perspective on coarse-graining methodologies for biomolecules: resolving self-assembly over extended spatiotemporal scales
Akash Banerjee, Mason Hooten, Nour Srouji, et al.
Frontiers in Soft Matter (2024) Vol. 4
Open Access | Times Cited: 2
Enhancing the Assembly Properties of Bottom-Up Coarse-Grained Phospholipids
Patrick G. Sahrmann, Gregory A. Voth
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 22, pp. 10235-10246
Closed Access | Times Cited: 2
Multibody Terms in Protein Coarse-Grained Models: A Top-Down Perspective
Iryna Zaporozhets, Cecilia Clementi
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 31, pp. 6920-6927
Closed Access | Times Cited: 5
The Use of Feature Engineering and Hyperparameter Tuning for Machine Learning Accuracy Optimization: A Case Study on Heart Disease Prediction
Cevi Herdian, Sunu Widianto, Jusia Amanda Ginting, et al.
Synthesis lectures on engineering, science, and technology (2024), pp. 193-218
Closed Access | Times Cited: 1
Rigorous Progress in Coarse-Graining
W. G. Noid, Ryan J. Szukalo, Katherine M. Kidder, et al.
Annual Review of Physical Chemistry (2024) Vol. 75, Iss. 1, pp. 21-45
Closed Access | Times Cited: 1
Prediction rigidities for data-driven chemistry
Sanggyu Chong, Filippo Bigi, Federico Grasselli, et al.
Faraday Discussions (2024)
Open Access | Times Cited: 1
Analogy between Boltzmann Machines and Feynman Path Integrals
Srinivasan S. Iyengar, Sabre Kais
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 9, pp. 2446-2454
Open Access | Times Cited: 2
Using classifiers to understand coarse-grained models and their fidelity with the underlying all-atom systems
Aleksander E. P. Durumeric, Gregory A. Voth
The Journal of Chemical Physics (2023) Vol. 158, Iss. 23
Closed Access | Times Cited: 2
Can a coarse-grained water model capture the key physical features of the hydrophobic effect?
Kuntal Ghosh, Timothy D. Loose, Gregory A. Voth
The Journal of Chemical Physics (2023) Vol. 159, Iss. 22
Closed Access | Times Cited: 2
Structure-Based Protein Assembly Simulations Including Various Binding Sites and Conformations
L. Walter, Patrick K. Quoika, Martin Zacharias
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3465-3476
Open Access
Neural network-assisted model of interfacial fluids with explicit coarse-grained molecular structures
Shuhao Ma, Dechang Li, Xuejin Li, et al.
The Journal of Chemical Physics (2024) Vol. 161, Iss. 17
Closed Access
Understanding the Coarse-grained Free Energy Landscape of Phospholipids and Their Phase Separation
Patrick G. Sahrmann, Gregory A. Voth
Biophysical Journal (2024) Vol. 124, Iss. 4, pp. 620-636
Closed Access
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