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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:

Extraction of organic chemistry grammar from unsupervised learning of chemical reactions
Philippe Schwaller, Benjamin Hoover, Jean‐Louis Reymond, et al.
Science Advances (2021) Vol. 7, Iss. 15
Open Access | Times Cited: 205

Showing 1-25 of 205 citing articles:

A Brief Introduction to Chemical Reaction Optimization
Connor J. Taylor, Alexander Pomberger, Kobi Felton, et al.
Chemical Reviews (2023) Vol. 123, Iss. 6, pp. 3089-3126
Open Access | Times Cited: 183
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: 143
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, et al.
Accounts of Materials Research (2022) Vol. 3, Iss. 6, pp. 597-607
Open Access | Times Cited: 134
The Evolution of Data-Driven Modeling in Organic Chemistry
Wendy L. Williams, Lingyu Zeng, Tobias Gensch, et al.
ACS Central Science (2021) Vol. 7, Iss. 10, pp. 1622-1637
Open Access | Times Cited: 110
Reaction classification and yield prediction using the differential reaction fingerprint DRFP
Daniel Probst, Philippe Schwaller, Jean‐Louis Reymond
Digital Discovery (2022) Vol. 1, Iss. 2, pp. 91-97
Open Access | Times Cited: 106
Evaluation guidelines for machine learning tools in the chemical sciences
Andreas Bender, Nadine Schneider, Marwin Segler, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 6, pp. 428-442
Closed Access | Times Cited: 95
Biocatalysed synthesis planning using data-driven learning
Daniel Probst, Matteo Manica, Yves Gaëtan Nana Teukam, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 89
Machine intelligence for chemical reaction space
Philippe Schwaller, Alain C. Vaucher, Rubén Laplaza, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 87
Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis
Yuntao Shou, Tao Meng, Wei Ai, et al.
Neurocomputing (2022) Vol. 501, pp. 629-639
Closed Access | Times Cited: 84
MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction
Zhonglin Cao, Rishikesh Magar, Yuyang Wang, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 5, pp. 2958-2967
Open Access | Times Cited: 70
From Platform to Knowledge Graph: Evolution of Laboratory Automation
Jiaru Bai, Liwei Cao, Sebastian Mosbach, et al.
JACS Au (2022) Vol. 2, Iss. 2, pp. 292-309
Open Access | Times Cited: 67
Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery
Zhengkai Tu, Thijs Stuyver, Connor W. Coley
Chemical Science (2022) Vol. 14, Iss. 2, pp. 226-244
Open Access | Times Cited: 66
Regression Transformer enables concurrent sequence regression and generation for molecular language modelling
Jannis Born, Matteo Manica
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 432-444
Open Access | Times Cited: 65
Functional annotation of enzyme-encoding genes using deep learning with transformer layers
Gi Bae Kim, Ji Yeon Kim, Jong An Lee, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 41
In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 40, pp. 21699-21716
Open Access | Times Cited: 39
Models Matter: the impact of single-step retrosynthesis on synthesis planning
Paula Torren-Peraire, Alan Kai Hassen, Samuel Genheden, et al.
Digital Discovery (2024) Vol. 3, Iss. 3, pp. 558-572
Open Access | Times Cited: 12
Deep Retrosynthetic Reaction Prediction using Local Reactivity and Global Attention
Shuan Chen, Yousung Jung
JACS Au (2021) Vol. 1, Iss. 10, pp. 1612-1620
Open Access | Times Cited: 94
Applications of artificial intelligence to enzyme and pathway design for metabolic engineering
Woo Dae Jang, Gi Bae Kim, Yeji Kim, et al.
Current Opinion in Biotechnology (2021) Vol. 73, pp. 101-107
Closed Access | Times Cited: 84
Deep learning in retrosynthesis planning: datasets, models and tools
Jingxin Dong, Mingyi Zhao, Yuansheng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 75
Attention-based generative models for de novo molecular design
Orion Dollar, Nisarg Joshi, David A. C. Beck, et al.
Chemical Science (2021) Vol. 12, Iss. 24, pp. 8362-8372
Open Access | Times Cited: 54
Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Yunchao Xie, Kianoosh Sattari, Chi Zhang, et al.
Progress in Materials Science (2022) Vol. 132, pp. 101043-101043
Open Access | Times Cited: 52
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
Translation between Molecules and Natural Language
Carl K. Edwards, Tuan Lai, Kevin Ros, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 51
Root-aligned SMILES: a tight representation for chemical reaction prediction
Zipeng Zhong, Jie Song, Zunlei Feng, et al.
Chemical Science (2022) Vol. 13, Iss. 31, pp. 9023-9034
Open Access | Times Cited: 40
Retrosynthesis prediction using an end-to-end graph generative architecture for molecular graph editing
Weihe Zhong, Ziduo Yang, Calvin Yu‐Chian Chen
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 31
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