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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:

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

Showing 22 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 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
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
Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence–based methods
Akashnathan Aranganathan, Xinyu Gu, Dedi Wang, et al.
Current Opinion in Structural Biology (2025) Vol. 91, pp. 103000-103000
Open Access | Times Cited: 1
One bead per residue can describe all-atom protein structures
Lim Heo, Michael Feig
Structure (2023) Vol. 32, Iss. 1, pp. 97-111.e6
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
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
DiAMoNDBack: Diffusion-Denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces
Michael S. Jones, Kirill Shmilovich, Andrew L. Ferguson
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 21, pp. 7908-7923
Closed Access | Times Cited: 11
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
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
Distilling coarse-grained representations of molecular electronic structure with continuously gated message passing
J. Charlie Maier, Chun-I Wang, Nicholas E. Jackson
The Journal of Chemical Physics (2024) Vol. 160, Iss. 2
Open Access | Times Cited: 3
Surveying the energy landscape of coarse-grained mappings
Katherine M. Kidder, M. Scott Shell, W. G. Noid
The Journal of Chemical Physics (2024) Vol. 160, Iss. 5
Open Access | Times Cited: 3
Coarse-Grained Molecular Dynamics with Normalizing Flows
Samuel Tamagnone, Alessandro Laio, Marylou Gabrié
Journal of Chemical Theory and Computation (2024)
Open Access | Times Cited: 2
Representability and Dynamical Consistency in Coarse-Grained Models
Manuel Palma Banos, Alexander V. Popov, Rigoberto Hernandez
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 6, pp. 1506-1514
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
Analysis of mapping atomic models to coarse-grained resolution
Katherine M. Kidder, W. G. Noid
The Journal of Chemical Physics (2024) Vol. 161, Iss. 13
Closed Access | Times Cited: 1
Thermodynamic Transferability in Coarse-Grained Force Fields Using Graph Neural Networks
Emily Shinkle, Aleksandra Pachalieva, Riti Bahl, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 23, pp. 10524-10539
Open Access | Times Cited: 1
CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation
Daniel A. Reidenbach, Aditi S. Krishnapriyan
Journal of Chemical Information and Modeling (2024) Vol. 65, Iss. 1, pp. 22-30
Open Access | Times Cited: 1
Navigating protein landscapes with a machine-learned transferable coarse-grained model
Cecilia Clementi, Nicholas E. Charron, Félix Musil, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Distilling Coarse-Grained Representations of Molecular Electronic Structure with Continuously Gated Message Passing
Charlie Maier, Chun-I Wang, Nicholas E. Jackson
(2023)
Open Access | Times Cited: 1
Bringing Quantum Mechanics to Coarse-Grained Soft Materials Modeling
Chun-I Wang, Nicholas E. Jackson
(2022)
Open Access | Times Cited: 1
Accessible Molecular System Creator: Building Molecular Configurations Based on the Inaccessible Molecular Volume and Accessible Molecular Surface via Static Monte Carlo Sampling
Georgios C. Boulougouris
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 44, pp. 9520-9531
Closed Access
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