Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Benchmark of general-purpose machine learning-based quantum mechanical method AIQM1 on reaction barrier heights
Yuxinxin Chen, Yanchi Ou, Peikun Zheng, et al.
The Journal of Chemical Physics (2023) Vol. 158, Iss. 7
Closed Access | Times Cited: 12

Showing 12 citing articles:

Data Generation for Machine Learning Interatomic Potentials and Beyond
Maksim Kulichenko, Benjamin Nebgen, Nicholas Lubbers, et al.
Chemical Reviews (2024) Vol. 124, Iss. 24, pp. 13681-13714
Closed Access | Times Cited: 15
Modern semiempirical electronic structure methods and machine learning potentials for drug discovery: Conformers, tautomers, and protonation states
Jinzhe Zeng, Yujun Tao, Timothy J. Giese, et al.
The Journal of Chemical Physics (2023) Vol. 158, Iss. 12
Open Access | Times Cited: 21
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
Modern semiempirical electronic structure methods
Pavlo O. Dral, B. Hourahine, Stefan Grimme
The Journal of Chemical Physics (2024) Vol. 160, Iss. 4
Open Access | Times Cited: 6
Constructing Accurate and Efficient General-Purpose Atomistic Machine Learning Model with Transferable Accuracy for Quantum Chemistry
Yi‐Cheng Chen, Wenjie Yan, Zhanfeng Wang, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 21, pp. 9500-9511
Open Access | Times Cited: 5
Universal and Updatable Artificial Intelligence-Enhanced Quantum Chemical Foundational Models
Yuxinxin Chen, Yi-Fan Hou, Olexandr Isayev, et al.
(2024)
Open Access | Times Cited: 4
Pairwise Difference Learning for Classification
Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier
Lecture notes in computer science (2025), pp. 284-299
Closed Access
Kernel regression methods for prediction of materials properties: Recent developments
Ye Min Thant, Taishiro Wakamiya, Methawee Nukunudompanich, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Facilitating Transition State Search with Minimal Conformational Sampling Using Reaction Graph
Kyung-Hoon Lee, J.S. Lee, S.B. Park, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
Advancements in Machine Learning Predicting Activation and Gibbs Free Energies in Chemical Reactions
Guo‐Jin Cao
International Journal of Quantum Chemistry (2025) Vol. 125, Iss. 7
Closed Access
Data-Driven Refinement of Electronic Energies from Two-Electron Reduced-Density-Matrix Theory
Grier M. Jones, Run R. Li, A. Eugene DePrince, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 28, pp. 6377-6385
Open Access | Times Cited: 5
Solvent and Substituent Size Influence on the Cyclochiral Rigidity of Aminomethylene Derivatives of Resorcin[4]arene
Waldemar Iwanek
Molecules (2023) Vol. 28, Iss. 21, pp. 7426-7426
Open Access
Page 1

Scroll to top