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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:

AiZynthFinder: a fast, robust and flexible open-source software for retrosynthetic planning
Samuel Genheden, Amol Thakkar, Veronika Chadimová, et al.
Journal of Cheminformatics (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 213

Showing 26-50 of 213 citing articles:

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
De Novo Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models
Sara Romeo Atance, Juan Viguera Diez, Ola Engkvist, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 20, pp. 4863-4872
Closed Access | Times Cited: 57
LibINVENT: Reaction-based Generative Scaffold Decoration for in Silico Library Design
Vendy Fialková, Jiaxi Zhao, Kostas Papadopoulos, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 9, pp. 2046-2063
Open Access | Times Cited: 54
Bayesian optimization with known experimental and design constraints for chemistry applications
Riley J. Hickman, Matteo Aldeghi, Florian Häse, et al.
Digital Discovery (2022) Vol. 1, Iss. 5, pp. 732-744
Open Access | Times Cited: 48
Artificial Intelligence for Retrosynthesis Prediction
Yinjie Jiang, Yemin Yu, Ming Kong, et al.
Engineering (2022) Vol. 25, pp. 32-50
Open Access | Times Cited: 43
Machine Learning guided early drug discovery of small molecules
Nikhil Pillai, Aparajita Dasgupta, Sirimas Sudsakorn, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 8, pp. 2209-2215
Open Access | Times Cited: 42
Merging enzymatic and synthetic chemistry with computational synthesis planning
Itai Levin, Mengjie Liu, Christopher A. Voigt, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 37
A Review on Artificial Intelligence Enabled Design, Synthesis, and Process Optimization of Chemical Products for Industry 4.0
Chasheng He, Chengwei Zhang, Tengfei Bian, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 330-330
Open Access | Times Cited: 25
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 23
Machine Learning for Chemistry: Basics and Applications
Yunfei Shi, Zhengxin Yang, Sicong Ma, et al.
Engineering (2023) Vol. 27, pp. 70-83
Open Access | Times Cited: 23
Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data
Rocío Mercado, Steven Kearnes, Connor W. Coley
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 14, pp. 4253-4265
Open Access | Times Cited: 21
Navigating with chemometrics and machine learning in chemistry
Payal B. Joshi
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9089-9114
Open Access | Times Cited: 20
AiZynthTrain: Robust, Reproducible, and Extensible Pipelines for Training Synthesis Prediction Models
Samuel Genheden, Per‐Ola Norrby, Ola Engkvist
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 7, pp. 1841-1846
Closed Access | Times Cited: 20
Designing catalysts with deep generative models and computational data. A case study for Suzuki cross coupling reactions
Oliver Schilter, Alain C. Vaucher, Philippe Schwaller, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 728-735
Open Access | Times Cited: 20
Unbiasing Retrosynthesis Language Models with Disconnection Prompts
Amol Thakkar, Alain C. Vaucher, Andrea Byekwaso, et al.
ACS Central Science (2023) Vol. 9, Iss. 7, pp. 1488-1498
Open Access | Times Cited: 20
AiZynth impact on medicinal chemistry practice at AstraZeneca
Jason D. Shields, Rachel Howells, Gillian M. Lamont, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 4, pp. 1085-1095
Closed Access | Times Cited: 10
Artificial Intelligence for Retrosynthetic Planning Needs Both Data and Expert Knowledge
Felix Strieth‐Kalthoff, Sara Szymkuć, Karol Molga, et al.
Journal of the American Chemical Society (2024)
Closed Access | Times Cited: 7
Re-evaluating Retrosynthesis Algorithms with Syntheseus
Krzysztof Maziarz, Austin Tripp, Guoqing Liu, et al.
Faraday Discussions (2024)
Closed Access | Times Cited: 6
Real-World Applications and Experiences of AI/ML Deployment for Drug Discovery
William R. Pitt, Jonathan Bentley, Christophe Boldron, et al.
Journal of Medicinal Chemistry (2025)
Closed Access
Predicting the Price of Molecules Using Their Predicted Synthetic Pathways**
Massina Abderrahmane, Hamza Tajmouati, Vinícius Barros Ribeiro da Silva, et al.
Molecular Informatics (2025) Vol. 44, Iss. 2
Closed Access
Artificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry
Lanxin Long, Rui Li, Jian Zhang
Journal of Medicinal Chemistry (2025)
Closed Access
Investigations into the Efficiency of Computer-Aided Synthesis Planning
Peter B. R. Hartog, Annie M. Westerlund, Igor V. Tetko, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge
Shoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 6, pp. 1357-1367
Open Access | Times Cited: 32
Into the Unknown: How Computation Can Help Explore Uncharted Material Space
Austin M. Mroz, Víctor Posligua, Andrew Tarzia, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 41, pp. 18730-18743
Open Access | Times Cited: 31
Organic materials repurposing, a data set for theoretical predictions of new applications for existing compounds
Ömer H. Omar, Tahereh Nematiaram, Alessandro Troisi, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 29

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