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:

Interactions between large molecules pose a puzzle for reference quantum mechanical methods
Yasmine S. Al-Hamdani, Péter R. Nagy, Andrea Zen, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Roadmap on Machine learning in electronic structure
Heather J. Kulik, Thomas Hammerschmidt, Jonathan Schmidt, et al.
Electronic Structure (2022) Vol. 4, Iss. 2, pp. 023004-023004
Open Access | Times Cited: 134

r2SCAN-D4: Dispersion corrected meta-generalized gradient approximation for general chemical applications
Sebastian Ehlert, Uwe Huniar, Jinliang Ning, et al.
The Journal of Chemical Physics (2021) Vol. 154, Iss. 6
Open Access | Times Cited: 128

Fluids and Electrolytes under Confinement in Single-Digit Nanopores
N. R. Aluru, Fikret Aydin, Martin Z. Bazant, et al.
Chemical Reviews (2023) Vol. 123, Iss. 6, pp. 2737-2831
Open Access | Times Cited: 104

The Modern Mathematics of Deep Learning
Julius Berner, Philipp Grohs, Gitta Kutyniok, et al.
Cambridge University Press eBooks (2022), pp. 1-111
Open Access | Times Cited: 103

Measurements as a roadblock to near-term practical quantum advantage in chemistry: Resource analysis
Jérôme F. Gonthier, Maxwell D. Radin, Corneliu Buda, et al.
Physical Review Research (2022) Vol. 4, Iss. 3
Open Access | Times Cited: 84

Post-CCSD(T) corrections in the S66 noncovalent interactions benchmark
Emmanouil Semidalas, A. Daniel Boese, Jan M. L. Martin
Chemical Physics Letters (2025), pp. 141874-141874
Open Access | Times Cited: 3

Another Angle on Benchmarking Noncovalent Interactions
Vladimir Fishman, Michał Lesiuk, Jan M. L. Martin, et al.
Journal of Chemical Theory and Computation (2025)
Open Access | Times Cited: 2

Modeling Non-adiabatic Dynamics in Nanoscale and Condensed Matter Systems
Oleg V. Prezhdo
Accounts of Chemical Research (2021) Vol. 54, Iss. 23, pp. 4239-4249
Closed Access | Times Cited: 77

Accurate Reduced-Cost CCSD(T) Energies: Parallel Implementation, Benchmarks, and Large-Scale Applications
László Gyevi‐Nagy, Mihály Kállay, Péter R. Nagy
Journal of Chemical Theory and Computation (2021) Vol. 17, Iss. 2, pp. 860-878
Open Access | Times Cited: 64

ωB97X-3c: A composite range-separated hybrid DFT method with a molecule-optimized polarized valence double-ζ basis set
Marcel Müller, Andreas Hansen, Stefan Grimme
The Journal of Chemical Physics (2022) Vol. 158, Iss. 1
Closed Access | Times Cited: 63

Predicting and Understanding Non-Covalent Interactions Using Novel Forms of Symmetry-Adapted Perturbation Theory
Kevin Carter-Fenk, Ka Un Lao, John M. Herbert
Accounts of Chemical Research (2021) Vol. 54, Iss. 19, pp. 3679-3690
Open Access | Times Cited: 56

Unlocking the computational design of metal–organic cages
Andrew Tarzia, Kim E. Jelfs
Chemical Communications (2022) Vol. 58, Iss. 23, pp. 3717-3730
Open Access | Times Cited: 52

Twenty Years of Auxiliary-Field Quantum Monte Carlo in Quantum Chemistry: An Overview and Assessment on Main Group Chemistry and Bond-Breaking
Joonho Lee, Hung Q. Pham, David R. Reichman
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 12, pp. 7024-7042
Open Access | Times Cited: 44

Machine learning in gas separation membrane developing: Ready for prime time
Jing Wang, Kai Tian, Dongyang Li, et al.
Separation and Purification Technology (2023) Vol. 313, pp. 123493-123493
Closed Access | Times Cited: 38

Towards the ground state of molecules via diffusion Monte Carlo on neural networks
Weiluo Ren, Weizhong Fu, Xiaojie Wu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36

Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular Interactions
Alexey Illarionov, Serzhan Sakipov, Leonid Pereyaslavets, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 43, pp. 23620-23629
Open Access | Times Cited: 22

Density functional theory for van der Waals complexes: Size matters
Montgomery Gray, John M. Herbert
Annual reports in computational chemistry (2024), pp. 1-61
Open Access | Times Cited: 9

Quantum computing quantum Monte Carlo with hybrid tensor network for electronic structure calculations
Shu Kanno, Hajime Nakamura, T. Kobayashi, et al.
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 9

On the applicability of CCSD(T) for dispersion interactions in large conjugated systems
Stephanie Lambie, Daniel Kats, Denis Usvyat, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 11
Open Access | Times Cited: 1

Regularized Second-Order Møller–Plesset Theory: A More Accurate Alternative to Conventional MP2 for Noncovalent Interactions and Transition Metal Thermochemistry for the Same Computational Cost
James Shee, Matthias Loipersberger, Adam Rettig, et al.
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 50, pp. 12084-12097
Open Access | Times Cited: 54

Comprehensive Basis-Set Testing of Extended Symmetry-Adapted Perturbation Theory and Assessment of Mixed-Basis Combinations to Reduce Cost
Montgomery Gray, John M. Herbert
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 4, pp. 2308-2330
Open Access | Times Cited: 31

S66x8 noncovalent interactions revisited: new benchmark and performance of composite localized coupled-cluster methods
Golokesh Santra, Emmanouil Semidalas, Nisha Mehta, et al.
Physical Chemistry Chemical Physics (2022) Vol. 24, Iss. 41, pp. 25555-25570
Open Access | Times Cited: 30

Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments
Benjamin X. Shi, Andrea Zen, Venkat Kapil, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 46, pp. 25372-25381
Open Access | Times Cited: 22

Regularized by Physics: Graph Neural Network Parametrized Potentials for the Description of Intermolecular Interactions
Moritz Thürlemann, Lennard Böselt, Sereina Riniker
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 2, pp. 562-579
Open Access | Times Cited: 20

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