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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:

A comparative study of different machine learning methods for dissipative quantum dynamics
Luis E. Herrera Rodríguez, Arif Ullah, Kennet J Rueda Espinosa, et al.
Machine Learning Science and Technology (2022) Vol. 3, Iss. 4, pp. 045016-045016
Open Access | Times Cited: 22

Showing 22 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
Machine-Learned Kohn–Sham Hamiltonian Mapping for Nonadiabatic Molecular Dynamics
Mohammad Shakiba, Alexey V. Akimov
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 8, pp. 2992-3007
Closed Access | Times Cited: 10
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
Quantum next generation reservoir computing: an efficient quantum algorithm for forecasting quantum dynamics
Apimuk Sornsaeng, Ninnat Dangniam, Thiparat Chotibut
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 6
Machine learning accelerated photodynamics simulations
Jingbai Li, Steven A. Lopez
Chemical Physics Reviews (2023) Vol. 4, Iss. 3
Open Access | Times Cited: 14
Unsupervised Machine Learning in the Analysis of Nonadiabatic Molecular Dynamics Simulation
Yifei Zhu, Jiawei Peng, Chao Xu, et al.
The Journal of Physical Chemistry Letters (2024), pp. 9601-9619
Closed Access | Times Cited: 3
QD3SET-1: a database with quantum dissipative dynamics datasets
Arif Ullah, Luis E. Herrera Rodríguez, Pavlo O. Dral, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 8
Trajectory Propagation of Symmetrical Quasi-classical Dynamics with Meyer-Miller Mapping Hamiltonian Using Machine Learning
Kunni Lin, Jiawei Peng, Chao Xu, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 50, pp. 11678-11688
Closed Access | Times Cited: 12
Kernel-based quantum regressor models learning non-Markovianity
Diego Tancara, Hossein T. Dinani, Ariel Norambuena, et al.
Physical review. A/Physical review, A (2023) Vol. 107, Iss. 2
Open Access | Times Cited: 7
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
Machine Learning Mapping Approach for Computing Spin Relaxation Dynamics
Mohammad Shakiba, Adam Philips, Jochen Autschbach, et al.
The Journal of Physical Chemistry Letters (2024), pp. 153-162
Closed Access | Times Cited: 2
Theory of moment propagation for quantum dynamics in single-particle description
Nicholas J. Boyer, Christopher Shepard, Ruiyi Zhou, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 6
Open Access | Times Cited: 1
A short trajectory is all you need: A transformer-based model for long-time dissipative quantum dynamics
Luis E. Herrera Rodríguez, Alexei A. Kananenka
The Journal of Chemical Physics (2024) Vol. 161, Iss. 17
Open Access | Times Cited: 1
How Sophisticated Are Neural Networks Needed to Predict Long-Term Nonadiabatic Dynamics?
Hao Zeng, Yitian Kou, Xiang Sun
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 22, pp. 9832-9848
Open Access | Times Cited: 1
Machine-learned correction to ensemble-averaged wave packet dynamics
Yannick Marcel Holtkamp, Markus Kowalewski, Jens Jasche, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 9
Closed Access | Times Cited: 3
Data-driven characterization of latent dynamics on quantum testbeds
Sohail R. Reddy, Stefanie Günther, Yujin Cho
AVS Quantum Science (2024) Vol. 6, Iss. 3
Open Access
Machine learning for predicting control landscape maps of quantum molecular dynamics: Laser-induced three-dimensional alignment of asymmetric-top molecules
Tomotaro Namba, Yukiyoshi Ohtsuki
Physical review. A/Physical review, A (2024) Vol. 110, Iss. 5
Open Access
MLQD: A package for machine learning-based quantum dissipative dynamics
Arif Ullah, Pavlo O. Dral
(2023)
Open Access | Times Cited: 1
QD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets
Arif Ullah, Luis E. Herrera Rodr ́ıguez, Pavlo O. Dral, et al.
(2023)
Open Access
QD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets
Arif Ullah, Luis E. Herrera Rodríguez, Pavlo O. Dral, et al.
arXiv (Cornell University) (2023)
Open Access
MLQD: A package for machine learning-based quantum dissipative dynamics
Arif Ullah, Pavlo O. Dral
(2023)
Open Access
Learning quantum finite automata with queries
Daowen Qiu
Mathematical Structures in Computer Science (2023), pp. 1-19
Open Access
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