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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:

Massive Assessment of the Binding Energies of Atmospheric Molecular Clusters
Andreas Buchgraitz Jensen, Jakub Kubečka, Gunnar Alexander Schmitz, et al.
Journal of Chemical Theory and Computation (2022) Vol. 18, Iss. 12, pp. 7373-7383
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Modeling Local Aerosol Surface Environments: Clustering of Pyruvic Acid Analogs, Water, and Na+, Cl– Ions
Georg Baadsgaard Trolle, Jakub Kubečka, Jonas Elm
ACS Omega (2025) Vol. 10, Iss. 1, pp. 1470-1485
Open Access | Times Cited: 1
Toward Modeling the Growth of Large Atmospheric Sulfuric Acid–Ammonia Clusters
Morten Engsvang, Jakub Kubečka, Jonas Elm
ACS Omega (2023) Vol. 8, Iss. 38, pp. 34597-34609
Open Access | Times Cited: 16
Quantum chemical modeling of atmospheric molecular clusters involving inorganic acids and methanesulfonic acid
Morten Engsvang, Haide Wu, Yosef Knattrup, et al.
Chemical Physics Reviews (2023) Vol. 4, Iss. 3
Open Access | Times Cited: 15
Improved Configurational Sampling Protocol for Large Atmospheric Molecular Clusters
Haide Wu, Morten Engsvang, Yosef Knattrup, et al.
ACS Omega (2023) Vol. 8, Iss. 47, pp. 45065-45077
Open Access | Times Cited: 15
Reparameterization of GFN1-xTB for atmospheric molecular clusters: applications to multi-acid–multi-base systems
Yosef Knattrup, Jakub Kubečka, Haide Wu, et al.
RSC Advances (2024) Vol. 14, Iss. 28, pp. 20048-20055
Open Access | Times Cited: 5
Clusterome: A Comprehensive Data Set of Atmospheric Molecular Clusters for Machine Learning Applications
Yosef Knattrup, Jakub Kubečka, Daniel Ayoubi, et al.
ACS Omega (2023) Vol. 8, Iss. 28, pp. 25155-25164
Open Access | Times Cited: 12
Nitric Acid and Organic Acids Suppress the Role of Methanesulfonic Acid in Atmospheric New Particle Formation
Yosef Knattrup, Jakub Kubečka, Jonas Elm
The Journal of Physical Chemistry A (2023) Vol. 127, Iss. 36, pp. 7568-7578
Closed Access | Times Cited: 12
Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning
Jakub Kubečka, Vitus Besel, Ivo Neefjes, et al.
ACS Omega (2023) Vol. 8, Iss. 47, pp. 45115-45128
Open Access | Times Cited: 11
A cluster-of-functional-groups approach for studying organic enhanced atmospheric cluster formation
A. Pedersen, Yosef Knattrup, Jonas Elm
Aerosol Research (2024) Vol. 2, Iss. 1, pp. 123-134
Open Access | Times Cited: 4
Current and future machine learning approaches for modeling atmospheric cluster formation
Jakub Kubečka, Yosef Knattrup, Morten Engsvang, et al.
Nature Computational Science (2023) Vol. 3, Iss. 6, pp. 495-503
Closed Access | Times Cited: 10
Atmospheric implications of fumaric acid - water binary clusters
Neba Lovette Ambe, Olivier Holtomo, Ayiseh Frederick Tandong, et al.
Journal of Aerosol Science (2025), pp. 106524-106524
Closed Access
Reparameterization of GFN1-xTB for Atmospheric Molecular Clusters: Applications to Multi-Acid–Multi-Base Systems
Yosef Knattrup, Jakub Kubečka, Haide Wu, et al.
(2024)
Open Access | Times Cited: 2
Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning
Jakub Kubečka, Vitus Besel, Ivo Neefjes, et al.
(2023)
Open Access | Times Cited: 6
The driving effects of common atmospheric molecules for formation of clusters: the case of sulfuric acid, nitric acid, hydrochloric acid, ammonia, and dimethylamine
Olivia M. Longsworth, Conor J. Bready, Macie S. Joines, et al.
Environmental Science Atmospheres (2023) Vol. 3, Iss. 11, pp. 1585-1600
Open Access | Times Cited: 4
Combining state-of-the-art quantum chemistry and machine learning make gold standard potential energy surfaces accessible for medium-sized molecules
Apurba Nandi, Péter R. Nagy
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100036-100036
Open Access | Times Cited: 4
Exploring the hydrogen-bonded interactions of vanillic acid with atmospheric bases: a DFT study
Thainnar Sales de Oliveira, Angsula Ghosh, Puspitapallab Chaudhuri
Structural Chemistry (2024) Vol. 35, Iss. 5, pp. 1601-1611
Closed Access | Times Cited: 1
Massive Assessment of the Geometries of Atmospheric Molecular Clusters
Andreas Buchgraitz Jensen, Jonas Elm
Journal of Chemical Theory and Computation (2024)
Closed Access | Times Cited: 1
Atmospheric implications of aminomethylphosphonic acid promoted binary nucleation of water molecules
Ayiseh Frederick Tandong, Olivier Holtomo, David Afungchui
Chemical Thermodynamics and Thermal Analysis (2024), pp. 100149-100149
Open Access | Times Cited: 1
Sulfuric Acid-Driven Nucleation Enhanced by Amines from Ethanol Gasoline Vehicle Emission: Machine Learning Model and Mechanistic Study
Fangfang Ma, Lihao Su, Weihao Tang, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 1
Improved Configurational Sampling Protocol for Large Atmospheric Molecular Clusters
Haide Wu, Morten Engsvang, Yosef Knattrup, et al.
(2023)
Open Access | Times Cited: 2
Limited Role of Malonic Acid in Sulfuric Acid–Dimethylamine New Particle Formation
Sandra K. W. Fomete, Jakub Kubečka, Jonas Elm, et al.
ACS Omega (2023) Vol. 8, Iss. 22, pp. 19807-19815
Open Access | Times Cited: 2
A cluster-of-functional-groups approach for studying organic enhanced atmospheric cluster formation
A. Pedersen, Yosef Knattrup, Jonas Elm
(2024)
Open Access
a small suggested improvement to the model
Theo Kurtén
(2024)
Open Access
Comment on ar-2024-6

(2024)
Open Access
Comment on ar-2024-6
Jonas Elm
(2024)
Open Access
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