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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:

Beyond generative models: superfast traversal, optimization, novelty, exploration and discovery (STONED) algorithm for molecules using SELFIES
AkshatKumar Nigam, Robert Pollice, Mario Krenn, et al.
Chemical Science (2021) Vol. 12, Iss. 20, pp. 7079-7090
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective
Maximilian Fichtner, Kristina Edström, Elixabete Ayerbe, et al.
Advanced Energy Materials (2021) Vol. 12, Iss. 17
Open Access | Times Cited: 224
Generative models for molecular discovery: Recent advances and challenges
Camille L. Bilodeau, Wengong Jin, Tommi Jaakkola, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Closed Access | Times Cited: 187
A review of molecular representation in the age of machine learning
Daniel Wigh, Jonathan M. Goodman, Alexei A. Lapkin
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 180
Machine learning directed drug formulation development
Pauric Bannigan, Matteo Aldeghi, Zeqing Bao, et al.
Advanced Drug Delivery Reviews (2021) Vol. 175, pp. 113806-113806
Closed Access | Times Cited: 176
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 144
Structure-based de novo drug design using 3D deep generative models
Yibo Li, Jianfeng Pei, Luhua Lai
Chemical Science (2021) Vol. 12, Iss. 41, pp. 13664-13675
Open Access | Times Cited: 105
Recent advances in computational modeling of MOFs: From molecular simulations to machine learning
Hakan Demir, Hilal Daglar, Hasan Can Gülbalkan, et al.
Coordination Chemistry Reviews (2023) Vol. 484, pp. 215112-215112
Open Access | Times Cited: 98
Model agnostic generation of counterfactual explanations for molecules
Geemi P. Wellawatte, Aditi Seshadri, Andrew Dickson White
Chemical Science (2022) Vol. 13, Iss. 13, pp. 3697-3705
Open Access | Times Cited: 94
Human- and machine-centred designs of molecules and materials for sustainability and decarbonization
Jiayu Peng, Daniel Schwalbe‐Koda, Karthik Akkiraju, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 12, pp. 991-1009
Closed Access | Times Cited: 84
Fragment‐based drug discovery—the importance of high‐quality molecule libraries
Marta Bon, Alan Bilsland, Justin Bower, et al.
Molecular Oncology (2022) Vol. 16, Iss. 21, pp. 3761-3777
Open Access | Times Cited: 68
Chemistry-intuitive explanation of graph neural networks for molecular property prediction with substructure masking
Zhenhua Wu, Jike Wang, Hongyan Du, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 58
Artificial intelligence in multi-objective drug design
Sohvi Luukkonen, Helle W. van den Maagdenberg, Michael Emmerich, et al.
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102537-102537
Open Access | Times Cited: 51
A Perspective on Explanations of Molecular Prediction Models
Geemi P. Wellawatte, Heta A. Gandhi, Aditi Seshadri, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 8, pp. 2149-2160
Open Access | Times Cited: 43
Invalid SMILES are beneficial rather than detrimental to chemical language models
Michael A. Skinnider
Nature Machine Intelligence (2024) Vol. 6, Iss. 4, pp. 437-448
Open Access | Times Cited: 14
Artificial design of organic emitters via a genetic algorithm enhanced by a deep neural network
AkshatKumar Nigam, Robert Pollice, Pascal Friederich, et al.
Chemical Science (2024) Vol. 15, Iss. 7, pp. 2618-2639
Open Access | Times Cited: 13
Comparative analysis of molecular fingerprints in prediction of drug combination effects
Bulat Zagidullin, Ziyan Wang, Yuanfang Guan, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 70
Parallel tempered genetic algorithm guided by deep neural networks for inverse molecular design
AkshatKumar Nigam, Robert Pollice, Alán Aspuru‐Guzik
Digital Discovery (2022) Vol. 1, Iss. 4, pp. 390-404
Open Access | Times Cited: 58
Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis
Miguel Steiner, Markus Reiher
Topics in Catalysis (2022) Vol. 65, Iss. 1-4, pp. 6-39
Open Access | Times Cited: 51
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design
Miguel García-Ortegón, Gregor N. C. Simm, Austin Tripp, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 15, pp. 3486-3502
Open Access | Times Cited: 51
Genetic Optimization of Homogeneous Catalysts
Rubén Laplaza, Simone Gallarati, Clémence Corminbœuf
Chemistry - Methods (2022) Vol. 2, Iss. 6
Open Access | Times Cited: 43
Computational Approaches for Organic Semiconductors: From Chemical and Physical Understanding to Predicting New Materials
Vinayak Bhat, Connor P. Callaway, Chad Risko
Chemical Reviews (2023) Vol. 123, Iss. 12, pp. 7498-7547
Closed Access | Times Cited: 31
Group SELFIES: a robust fragment-based molecular string representation
Austin H. Cheng, Andy Cai, Santiago Miret, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 748-758
Open Access | Times Cited: 24
SELFormer: molecular representation learning via SELFIES language models
Atakan Yüksel, Erva Ulusoy, Atabey Ünlü, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 2, pp. 025035-025035
Open Access | Times Cited: 20
Directional multiobjective optimization of metal complexes at the billion-system scale
Hannes Kneiding, Ainara Nova, David Balcells
Nature Computational Science (2024) Vol. 4, Iss. 4, pp. 263-273
Open Access | Times Cited: 11
Material Engineering Strategies for Efficient Hydrogen Evolution Reaction Catalysts
Yue Luo, Yulong Zhang, Jiayi Zhu, et al.
Small Methods (2024)
Open Access | Times Cited: 10
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