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:

Accelerating explicit solvent models of heterogeneous catalysts with machine learning interatomic potentials
Benjamin W. J. Chen, Xinglong Zhang, Jia Zhang
Chemical Science (2023) Vol. 14, Iss. 31, pp. 8338-8354
Open Access | Times Cited: 17

Showing 17 citing articles:

Rise of machine learning potentials in heterogeneous catalysis: Developments, applications, and prospects
Seokhyun Choung, Wongyu Park, Jinuk Moon, et al.
Chemical Engineering Journal (2024) Vol. 494, pp. 152757-152757
Closed Access | Times Cited: 15

Enhancing the Quality and Reliability of Machine Learning Interatomic Potentials through Better Reporting Practices
Tristan Maxson, Ademola Soyemi, Benjamin W. J. Chen, et al.
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 16, pp. 6524-6537
Open Access | Times Cited: 11

Machine Learning Interatomic Potentials for Catalysis
Deqi Tang, Rangsiman Ketkaew, Sandra Luber
Chemistry - A European Journal (2024) Vol. 30, Iss. 60
Open Access | Times Cited: 8

Probing intermediate configurations of oxygen evolution catalysis across the light spectrum
Jin Suntivich, Geoffroy Hautier, Ismaïla Dabo, et al.
Nature Energy (2024) Vol. 9, Iss. 10, pp. 1191-1198
Closed Access | Times Cited: 8

Unveiling Competitive Adsorption in TiO2 Photocatalysis through Machine-Learning-Accelerated Molecular Dynamics, DFT, and Experimental Methods
Omar Allam, Mostafa Maghsoodi, Seung Soon Jang, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 28, pp. 36215-36223
Open Access | Times Cited: 4

Machine Learning Potentials for Heterogeneous Catalysis
Amir Omranpour, Jan Elsner, K. Nikolas Lausch, et al.
ACS Catalysis (2025) Vol. 15, Iss. 3, pp. 1616-1634
Open Access

Application of Machine Learning Interatomic Potentials in Heterogeneous Catalysis
Gbolagade Olajide, Khagendra Baral, Sophia Ezendu, et al.
(2025)
Closed Access

Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access

Sustainable technologies for removal of arsenic from water and wastewater: A comprehensive review
Soumya Ghosh, Chinenye Adaobi Igwegbe, Alhadji Malloum, et al.
Journal of Molecular Liquids (2025), pp. 127412-127412
Closed Access

A Perspective on Multiscale Modeling of Explicit Solvation-Enabled Simulations of Catalysis at Liquid–Solid Interfaces
Ricardo A. García Cárcamo, Jiexin Shi, Ali Estejab, et al.
ACS Catalysis (2025), pp. 7448-7457
Closed Access

Analytical First Derivatives of the SCF Energy for the Conductor‐Like Polarizable Continuum Model With Non‐Static Radii
Lukas Wittmann, Miquel García‐Ratés, Christoph Riplinger
Journal of Computational Chemistry (2025) Vol. 46, Iss. 11
Open Access

Redefining the Stability of Water Oxidation Electrocatalysts: Insights from Materials Databases and Machine Learning
Raúl A. Márquez, Erin Elizabeth Oefelein, Thuy Vy Le, et al.
ACS Materials Letters (2024) Vol. 6, Iss. 7, pp. 2905-2918
Closed Access | Times Cited: 2

Origin of copper as a unique catalyst for C–C coupling in electrocatalytic CO2 reduction
Jie Chen, Benjamin W. J. Chen, Jia Zhang, et al.
Chemical Science (2024) Vol. 15, Iss. 23, pp. 8835-8840
Open Access | Times Cited: 1

A solution for 4-propylguaiacol hydrodeoxygenation without ring saturation
Zihao Zhang, Qiang Li, Xiangkun Wu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Solvate Suite: A Command-Line Interface for Molecular Simulations and Multiscale Microsolvation Modeling
Otávio L. Santana, Daniel G. Silva, Sidney R. Santana
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 9, pp. 3767-3778
Closed Access

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