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:

Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors
Miguel Gallegos, Valentín Vassilev-Galindo, Igor Poltavsky, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
Malte Esders, Thomas Schnake, Jonas Lederer, et al.
Journal of Chemical Theory and Computation (2025)
Open Access

Filling the Gap in LogP$$ LogP $$ and pKa$$ {pK}_a $$ Evaluation for Saturated Fluorine‐Containing Derivatives With Machine Learning
Oleksandr Gurbych, Petro Pavliuk, Dmytro Krasnienkov, et al.
Journal of Computational Chemistry (2025) Vol. 46, Iss. 2
Closed Access

Recent developments in the use of machine learning in catalysis: A broad perspective with applications in kinetics
Leandro Goulart de Araujo, Léa Vilcocq, Pascal Fongarland, et al.
Chemical Engineering Journal (2025), pp. 160872-160872
Closed Access

AtomDB: A Python Library and Database for Atomic and Promolecular Properties
Gabriela Peláez Díaz, Michelle Richer, Marco Martínez González, et al.
The Journal of Physical Chemistry A (2025)
Closed Access

Natural language access point to digital metal–organic polyhedra chemistry in The World Avatar
Simon D. Rihm, Dan Tran, Aleksandar Kondinski, et al.
Data-Centric Engineering (2025) Vol. 6
Open Access

The Analysis of Electron Densities: From Basics to Emergent Applications
Daniel Koch, Michele Pavanello, Xuecheng Shao, et al.
Chemical Reviews (2024) Vol. 124, Iss. 22, pp. 12661-12737
Closed Access | Times Cited: 2

Quantum Topological Atomic Properties of 44K molecules
Brandon Meza-González, David Ramírez-Palma, Pablo Carpio‐Martínez, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Using quantum atomics and machine learning to advance picotechnology
Preston J. MacDougall, Kiran Donthula
Theoretical Chemistry Accounts (2024) Vol. 143, Iss. 10
Closed Access

AGAPE (computAtional G-quadruplex Affinitiy PrEdiction): The first AI In-silico workflow for G-quadruplex binding affinity prediction.
Luisa D’Anna, Ugo Perricone, Giada De Simone, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Cephalopod-Inspired Nanomaterials for Optical and Thermal Regulation: Mechanisms, Applications and Perspectives
Jin Zhang, Pan Wang, Weirong Xie, et al.
ACS Nano (2024) Vol. 18, Iss. 36, pp. 24741-24769
Closed Access

Stability of drop-like water cluster
M. V. Kirov
Chemical Physics Letters (2024) Vol. 861, pp. 141849-141849
Closed Access

Machine learning assisted reactor and full process optimization design for alcohol oxidation
Zhibo Zhang, Dongrui Zhang, Mengzhen Zhu, et al.
Chemical Engineering Science (2024), pp. 121165-121165
Closed Access

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