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:

Energy-conserving molecular dynamics is not energy conserving
Lina Zhang, Yi-Fan Hou, Fuchun Ge, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 35, pp. 23467-23476
Open Access | Times Cited: 11

Showing 11 citing articles:

MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 1193-1213
Open Access | Times Cited: 28

MLatom Software Ecosystem for Surface Hopping Dynamics in Python with Quantum Mechanical and Machine Learning Methods
Lina Zhang, Sebastian V. Pios, Mikołaj Martyka, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 12, pp. 5043-5057
Open Access | Times Cited: 11

AI in computational chemistry through the lens of a decade-long journey
Pavlo O. Dral
Chemical Communications (2024) Vol. 60, Iss. 24, pp. 3240-3258
Open Access | Times Cited: 7

Physics-Informed Active Learning for Accelerating Quantum Chemical Simulations
Yi-Fan Hou, Lina Zhang, Quanhao Zhang, et al.
Journal of Chemical Theory and Computation (2024)
Open Access | Times Cited: 6

Accurate and Affordable Simulation of Molecular Infrared Spectra with AIQM Models
Yi-Fan Hou, Cheng Wang, Pavlo O. Dral
The Journal of Physical Chemistry A (2025)
Closed Access

Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models
Fuchun Ge, Lina Zhang, Yi-Fan Hou, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 34, pp. 7732-7743
Open Access | Times Cited: 7

Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training Exemplified for Glycine
Fuchun Ge, Ran Wang, Chen Qu, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 16, pp. 4451-4460
Open Access | Times Cited: 1

Surprising Dynamics Phenomena in the Diels–Alder Reaction of C60 Uncovered with AI
Yi-Fan Hou, Quanhao Zhang, Pavlo O. Dral
The Journal of Organic Chemistry (2024) Vol. 89, Iss. 20, pp. 15041-15047
Closed Access

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