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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:

GEOM, energy-annotated molecular conformations for property prediction and molecular generation
Simon Axelrod, Rafael Gómez‐Bombarelli
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

A critical overview of computational approaches employed for COVID-19 drug discovery
Eugene Muratov, Rommie E. Amaro, Carolina Horta Andrade, et al.
Chemical Society Reviews (2021) Vol. 50, Iss. 16, pp. 9121-9151
Open Access | Times Cited: 179
Deep generative molecular design reshapes drug discovery
Xiangxiang Zeng, Fei Wang, Yuan Luo, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 12, pp. 100794-100794
Open Access | Times Cited: 136
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, et al.
(2023)
Open Access | Times Cited: 105
CREST—A program for the exploration of low-energy molecular chemical space
Philipp Pracht, Stefan Grimme, Christoph Bannwarth, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 11
Open Access | Times Cited: 83
QMugs, quantum mechanical properties of drug-like molecules
Clemens Isert, Kenneth Atz, José Jiménez-Luna, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 82
Multi-modal molecule structure–text model for text-based retrieval and editing
Shengchao Liu, Weili Nie, Chengpeng Wang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1447-1457
Closed Access | Times Cited: 59
New avenues in artificial-intelligence-assisted drug discovery
Carmen Cerchia, Antonio Lavecchia
Drug Discovery Today (2023) Vol. 28, Iss. 4, pp. 103516-103516
Open Access | Times Cited: 57
High-throughput property-driven generative design of functional organic molecules
Julia Westermayr, Joe Gilkes, Rhyan Barrett, et al.
Nature Computational Science (2023) Vol. 3, Iss. 2, pp. 139-148
Open Access | Times Cited: 48
Graph neural networks
Gabriele Corso, H. Stärk, Stefanie Jegelka, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 38
Equivariant 3D-conditional diffusion model for molecular linker design
Ilia Igashov, H. Stärk, Clément Vignac, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 4, pp. 417-427
Open Access | Times Cited: 38
Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization
Rui Wang, Tao Wang, Linlin Zhuo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 22
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture
Hyun Park, Xiaoli Yan, Ruijie Zhu, et al.
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 15
Scientific Large Language Models: A Survey on Biological & Chemical Domains
Qiang Zhang, Keyan Ding, Tingting Lv, et al.
ACM Computing Surveys (2025)
Closed Access | Times Cited: 2
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 78
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, et al.
(2022)
Open Access | Times Cited: 40
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling
Odin Zhang, Jintu Zhang, Jieyu Jin, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 9, pp. 1020-1030
Closed Access | Times Cited: 40
An Ecosystem for Digital Reticular Chemistry
Kevin Maik Jablonka, Andrew Rosen, Aditi S. Krishnapriyan, et al.
ACS Central Science (2023) Vol. 9, Iss. 4, pp. 563-581
Open Access | Times Cited: 36
MDM: Molecular Diffusion Model for 3D Molecule Generation
Lei Huang, Hengtong Zhang, Tingyang Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5105-5112
Open Access | Times Cited: 31
A Systematic Survey of Chemical Pre-trained Models
Jun Xia, Yanqiao Zhu, Yuanqi Du, et al.
(2023), pp. 6787-6795
Open Access | Times Cited: 31
Deep Generative Models in De Novo Drug Molecule Generation
Chao Pang, Jianbo Qiao, Xiangxiang Zeng, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2174-2194
Closed Access | Times Cited: 30
Graph Neural Networks for Molecules
Yuyang Wang, Zijie Li, Amir Barati Farimani
Challenges and advances in computational chemistry and physics (2023), pp. 21-66
Closed Access | Times Cited: 29
Equivariant Graph Neural Networks for Toxicity Prediction
Julian Cremer, Leonardo Medrano Sandonas, Alexandre Tkatchenko, et al.
Chemical Research in Toxicology (2023)
Open Access | Times Cited: 28
Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential
Simon Axelrod, Eugene I. Shakhnovich, Rafael Gómez‐Bombarelli
ACS Central Science (2023) Vol. 9, Iss. 2, pp. 166-176
Open Access | Times Cited: 26
Molecular machine learning with conformer ensembles
Simon Axelrod, Rafael Gómez‐Bombarelli
Machine Learning Science and Technology (2023) Vol. 4, Iss. 3, pp. 035025-035025
Open Access | Times Cited: 24
Deep generative models for 3D molecular structure
Benoît Baillif, Jason C. Cole, Patrick McCabe, et al.
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102566-102566
Open Access | Times Cited: 22
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