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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:

Molecular Photochemistry: Recent Developments in Theory
Sebastian Mai, Leticia González
Angewandte Chemie International Edition (2020) Vol. 59, Iss. 39, pp. 16832-16846
Open Access | Times Cited: 149

Showing 1-25 of 149 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
Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State Dynamics
Julia Westermayr, Michael Gastegger, Philipp Marquetand
The Journal of Physical Chemistry Letters (2020) Vol. 11, Iss. 10, pp. 3828-3834
Open Access | Times Cited: 177
Perspective on integrating machine learning into computational chemistry and materials science
Julia Westermayr, Michael Gastegger, Kristof T. Schütt, et al.
The Journal of Chemical Physics (2021) Vol. 154, Iss. 23
Open Access | Times Cited: 170
A Review on Mechanochemistry: Approaching Advanced Energy Materials with Greener Force
Xingang Liu, Yijun Li, Li Zeng, et al.
Advanced Materials (2022) Vol. 34, Iss. 46
Closed Access | Times Cited: 166
The OpenMolcas Web: A Community-Driven Approach to Advancing Computational Chemistry
Giovanni Li Manni, Ignacio Fdez. Galván, Ali Alavi, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 20, pp. 6933-6991
Open Access | Times Cited: 153
Mechanism of the application of single-atom catalyst-activated PMS/PDS to the degradation of organic pollutants in water environment: A review
Donghao Li, Shixuan Zhang, Shengnan Li, et al.
Journal of Cleaner Production (2023) Vol. 397, pp. 136468-136468
Closed Access | Times Cited: 117
Persistent Luminescence in Strontium Aluminate: A Roadmap to a Brighter Future
David Van der Heggen, Jonas Joos, Ang Feng, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 52
Open Access | Times Cited: 89
Structural Disorder in Higher-Temperature Phases Increases Charge Carrier Lifetimes in Metal Halide Perovskites
Ran Shi, Fang Qiu, Andrey S. Vasenko, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 41, pp. 19137-19149
Closed Access | Times Cited: 79
Generalized Coupled Cluster Theory for Ground and Excited State Intersections
F Rossi, Eirik F. Kjønstad, Sara Angelico, et al.
The Journal of Physical Chemistry Letters (2025), pp. 568-578
Open Access | Times Cited: 2
Machine learning and excited-state molecular dynamics
Julia Westermayr, Philipp Marquetand
Machine Learning Science and Technology (2020) Vol. 1, Iss. 4, pp. 043001-043001
Open Access | Times Cited: 71
Polyoxometalate‐Soft Matter Composite Materials: Design Strategies, Applications, and Future Directions
Jan‐Hendrik Kruse, Marcel Langer, Iuliia Romanenko, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 51
Open Access | Times Cited: 62
Excited state non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
Simon Axelrod, Eugene I. Shakhnovich, Rafael Gómez‐Bombarelli
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 57
Deep learning study of tyrosine reveals that roaming can lead to photodamage
Julia Westermayr, Michael Gastegger, Dóra Vörös, et al.
Nature Chemistry (2022) Vol. 14, Iss. 8, pp. 914-919
Closed Access | Times Cited: 41
In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back
Abdulrahman Aldossary, Jorge A. Campos-Gonzalez-Angulo, Sergio Pablo‐García, et al.
Advanced Materials (2024) Vol. 36, Iss. 30
Closed Access | Times Cited: 15
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
Analogies between photochemical reactions and ground-state post-transition-state bifurcations shed light on dynamical origins of selectivity
Zhitao Feng, Wentao Guo, Wang‐Yeuk Kong, et al.
Nature Chemistry (2024) Vol. 16, Iss. 4, pp. 615-623
Closed Access | Times Cited: 12
Photochemistry in Pharmaceutical Development: A Survey of Strategies and Approaches to Industry-wide Implementation
Eric G. Moschetta, Gemma C. Cook, Lee J. Edwards, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 4, pp. 831-846
Closed Access | Times Cited: 12
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
Designing carbon dots for enhanced photo-catalysis: Challenges and opportunities
Lukáš Zdražil, Alejandro Cadranel, Miroslav Medveď, et al.
Chem (2024) Vol. 10, Iss. 9, pp. 2700-2723
Closed Access | Times Cited: 11
Predicting the photodynamics of cyclobutanone triggered by a laser pulse at 200 nm and its MeV-UED signals—A trajectory surface hopping and XMS-CASPT2 perspective
Jiří Janoš, J. Pedro F. Nunes, Daniel Hollas, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 14
Open Access | Times Cited: 10
Machine learning accelerated nonadiabatic dynamics simulations of materials with excitonic effects
Sheng-Ze Wang, Fang Qiu, Xiang‐Yang Liu, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 2
Closed Access | Times Cited: 1
ULaMDyn: Enhancing Excited-State Dynamics Analysis Through Streamlined Unsupervised Learning
Max Pinheiro, Matheus de Oliveira Bispo, Rafael S. Mattos, et al.
Digital Discovery (2025)
Open Access | Times Cited: 1
Energy Decomposition Analysis for excited states: An Extension based on TDDFT
Florian Kreuter, Ralf Tonner
Physical Chemistry Chemical Physics (2025)
Open Access | Times Cited: 1
A state-averaged orbital-optimized hybrid quantum–classical algorithm for a democratic description of ground and excited states
Saad Yalouz, Bruno Senjean, Jakob Günther, et al.
Quantum Science and Technology (2020) Vol. 6, Iss. 2, pp. 024004-024004
Open Access | Times Cited: 65
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