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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:

Exploiting Machine Learning to Efficiently Predict Multidimensional Optical Spectra in Complex Environments
Michael S. Chen, Tim J. Zuehlsdorff, Tobias Morawietz, et al.
The Journal of Physical Chemistry Letters (2020) Vol. 11, Iss. 18, pp. 7559-7568
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Machine Learning for Electronically Excited States of Molecules
Julia Westermayr, Philipp Marquetand
Chemical Reviews (2020) Vol. 121, Iss. 16, pp. 9873-9926
Open Access | Times Cited: 343
Molecular excited states through a machine learning lens
Pavlo O. Dral, Mario Barbatti
Nature Reviews Chemistry (2021) Vol. 5, Iss. 6, pp. 388-405
Closed Access | Times Cited: 177
How to train a neural network potential
Alea Miako Tokita, Jörg Behler
The Journal of Chemical Physics (2023) Vol. 159, Iss. 12
Open Access | Times Cited: 50
Exploring solvatochromism: A comprehensive analysis of research data
Mihaela Homocianu
Microchemical Journal (2024) Vol. 198, pp. 110166-110166
Closed Access | Times Cited: 28
Multi-fidelity prediction of molecular optical peaks with deep learning
Kevin P. Greenman, William H. Green, Rafael Gómez‐Bombarelli
Chemical Science (2022) Vol. 13, Iss. 4, pp. 1152-1162
Open Access | Times Cited: 60
Vibronic and Environmental Effects in Simulations of Optical Spectroscopy
Tim J. Zuehlsdorff, Sapana V. Shedge, Shao-Yu Lu, et al.
Annual Review of Physical Chemistry (2021) Vol. 72, Iss. 1, pp. 165-188
Open Access | Times Cited: 57
The atomistic modeling of light-harvesting complexes from the physical models to the computational protocol
Edoardo Cignoni, Vladislav Sláma, Lorenzo Cupellini, et al.
The Journal of Chemical Physics (2022) Vol. 156, Iss. 12
Open Access | Times Cited: 54
Machine Learning Exciton Hamiltonians in Light-Harvesting Complexes
Edoardo Cignoni, Lorenzo Cupellini, Benedetta Mennucci
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 3, pp. 965-977
Open Access | Times Cited: 24
Hybrid Quantum Mechanical/Molecular Mechanical Methods For Studying Energy Transduction in Biomolecular Machines
Tomáš Kubař, Marcus Elstner, Qiang Cui
Annual Review of Biophysics (2023) Vol. 52, Iss. 1, pp. 525-551
Open Access | Times Cited: 24
Artificial-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectra
Sebastian V. Pios, Maxim F. Gelin, Arif Ullah, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 9, pp. 2325-2331
Closed Access | Times Cited: 14
Electronic Excited States from Physically Constrained Machine Learning
Edoardo Cignoni, Divya Suman, Jigyasa Nigam, et al.
ACS Central Science (2024) Vol. 10, Iss. 3, pp. 637-648
Open Access | Times Cited: 11
Machine Learning for Absorption Cross Sections
Bao-Xin Xue, Mario Barbatti, Pavlo O. Dral
The Journal of Physical Chemistry A (2020) Vol. 124, Iss. 35, pp. 7199-7210
Open Access | Times Cited: 67
Computational spectroscopy of complex systems
Thomas L. C. Jansen
The Journal of Chemical Physics (2021) Vol. 155, Iss. 17
Open Access | Times Cited: 49
Recent progress in atomistic modeling of light-harvesting complexes: a mini review
Sayan Maity, Ulrich Kleinekathöfer
Photosynthesis Research (2022) Vol. 156, Iss. 1, pp. 147-162
Open Access | Times Cited: 38
Elucidating the Role of Hydrogen Bonding in the Optical Spectroscopy of the Solvated Green Fluorescent Protein Chromophore: Using Machine Learning to Establish the Importance of High-Level Electronic Structure
Michael S. Chen, Yuezhi Mao, Andrew Snider, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 29, pp. 6610-6619
Open Access | Times Cited: 20
Predicting Serotonin Detection with DNA-Carbon Nanotube Sensors across Multiple Spectral Wavelengths
Payam Kelich, Jaquesta Adams, Sanghwa Jeong, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 3992-4001
Open Access | Times Cited: 8
Artificial Neural Networks as Propagators in Quantum Dynamics
Maxim Secor, Alexander V. Soudackov, Sharon Hammes‐Schiffer
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 43, pp. 10654-10662
Closed Access | Times Cited: 34
Influence of non-adiabatic effects on linear absorption spectra in the condensed phase: Methylene blue
Angus Dunnett, Duncan Gowland, Christine M. Isborn, et al.
The Journal of Chemical Physics (2021) Vol. 155, Iss. 14
Open Access | Times Cited: 30
Taming the third order cumulant approximation to linear optical spectroscopy
Lucas Allan, Tim J. Zuehlsdorff
The Journal of Chemical Physics (2024) Vol. 160, Iss. 7
Open Access | Times Cited: 4
Beyond the Condon limit: Condensed phase optical spectra from atomistic simulations
Zachary R. Wiethorn, Kye E. Hunter, Tim J. Zuehlsdorff, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 24
Closed Access | Times Cited: 10
Machine Learning for Video Classification Enables Quantifying Intermolecular Couplings from Simulated Time-Evolved Multidimensional Spectra
Bashir Sbaiti, Jonathan D. Schultz, Kelsey A. Parker, et al.
The Journal of Physical Chemistry Letters (2025), pp. 4707-4714
Closed Access
Multifidelity Machine Learning for Molecular Excitation Energies
V.V. Vinod, Sayan Maity, Peter Zaspel, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 21, pp. 7658-7670
Open Access | Times Cited: 9
Strategies for the construction of machine-learning potentials for accurate and efficient atomic-scale simulations
April M Miksch, Tobias Morawietz, Johannes Kästner, et al.
Machine Learning Science and Technology (2021) Vol. 2, Iss. 3, pp. 031001-031001
Open Access | Times Cited: 19
UV–Visible Absorption Spectra of Solvated Molecules by Quantum Chemical Machine Learning
Zekun Chen, Fernanda C. Bononi, C. Sievers, et al.
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 8, pp. 4891-4902
Open Access | Times Cited: 13
Great Influence of Organic Cation Motion on Charge Carrier Dynamics in Metal Halide Perovskite Unraveled by Unsupervised Machine Learning
Yulong Liu, Run Long, Wei‐Hai Fang
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 36, pp. 8537-8545
Closed Access | Times Cited: 13
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