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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 1-25 of 213 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1476
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 812
Dual use of artificial-intelligence-powered drug discovery
Fabio Urbina, Filippa Lentzos, Cédric Invernizzi, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 3, pp. 189-191
Open Access | Times Cited: 189
RetroBioCat as a computer-aided synthesis planning tool for biocatalytic reactions and cascades
William Finnigan, Lorna J. Hepworth, Sabine L. Flitsch, et al.
Nature Catalysis (2021) Vol. 4, Iss. 2, pp. 98-104
Open Access | Times Cited: 185
Prediction of chemical reaction yields using deep learning
Philippe Schwaller, Alain C. Vaucher, Teodoro Laino, et al.
Machine Learning Science and Technology (2021) Vol. 2, Iss. 1, pp. 015016-015016
Open Access | Times Cited: 165
Generative Models as an Emerging Paradigm in the Chemical Sciences
Dylan M. Anstine, Olexandr Isayev
Journal of the American Chemical Society (2023) Vol. 145, Iss. 16, pp. 8736-8750
Open Access | Times Cited: 142
Automation and computer-assisted planning for chemical synthesis
Yuning Shen, Julia E. Borowski, Melissa A. Hardy, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Closed Access | Times Cited: 128
Retrosynthetic accessibility score (RAscore) – rapid machine learned synthesizability classification from AI driven retrosynthetic planning
Amol Thakkar, Veronika Chadimová, Esben Jannik Bjerrum, et al.
Chemical Science (2021) Vol. 12, Iss. 9, pp. 3339-3349
Open Access | Times Cited: 103
Small molecules and their impact in drug discovery: A perspective on the occasion of the 125th anniversary of the Bayer Chemical Research Laboratory
Hartmut Beck, Michael Härter, B. Hass, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 6, pp. 1560-1574
Open Access | Times Cited: 96
Augmenting large language models with chemistry tools
Andres M. Bran, Sam Cox, Oliver Schilter, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 5, pp. 525-535
Open Access | Times Cited: 94
Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Alexander Tropsha, Olexandr Isayev, Alexandre Varnek, et al.
Nature Reviews Drug Discovery (2023) Vol. 23, Iss. 2, pp. 141-155
Closed Access | Times Cited: 77
Retrosynthetic reaction pathway prediction through neural machine translation of atomic environments
Umit Volkan Ucak, Islambek Ashyrmamatov, Junsu Ko, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 69
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
Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery
Ri Han, Hongryul Yoon, Gahee Kim, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 9, pp. 1259-1259
Open Access | Times Cited: 59
Critical assessment of synthetic accessibility scores in computer-assisted synthesis planning
Grzegorz Skoraczyński, Mateusz Kitlas, Błażej Miasojedow, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 41
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back
Brent A. Koscher, Richard B. Canty, Matthew A. McDonald, et al.
Science (2023) Vol. 382, Iss. 6677
Open Access | Times Cited: 41
Accelerated chemical science with AI
Seoin Back, Alán Aspuru-Guzik, Michele Ceriotti, et al.
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 23-33
Open Access | Times Cited: 36
Machine learning-aided generative molecular design
Yuanqi Du, Arian R. Jamasb, Jeff Guo, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 589-604
Closed Access | Times Cited: 18
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
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
Augmenting DMTA using predictive AI modelling at AstraZeneca
Gian Marco Ghiandoni, Emma Evertsson, D. Riley, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103945-103945
Open Access | Times Cited: 12
Enhancing preclinical drug discovery with artificial intelligence
Ramachandran Vijayan, Jan Kihlberg, Jason B. Cross, et al.
Drug Discovery Today (2021) Vol. 27, Iss. 4, pp. 967-984
Open Access | Times Cited: 94
RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictions
Xiaorui Wang, Yuquan Li, Jiezhong Qiu, et al.
Chemical Engineering Journal (2021) Vol. 420, pp. 129845-129845
Closed Access | Times Cited: 89
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
Automated Chemical Reaction Extraction from Scientific Literature
Jiang Guo, A. Santiago Ibanez-Lopez, Hanyu Gao, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 9, pp. 2035-2045
Closed Access | Times Cited: 70
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