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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:

A robotic platform for flow synthesis of organic compounds informed by AI planning
Connor W. Coley, Dale A. Thomas, Justin A. M. Lummiss, et al.
Science (2019) Vol. 365, Iss. 6453
Closed Access | Times Cited: 811

Showing 1-25 of 811 citing articles:

Artificial intelligence: A powerful paradigm for scientific research
Yongjun Xu, Xin Liu, Xin Cao, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100179-100179
Open Access | Times Cited: 816
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 582
Development and Challenges of Antimicrobial Peptides for Therapeutic Applications
Charles H. Chen, Timothy K. Lu
Antibiotics (2020) Vol. 9, Iss. 1, pp. 24-24
Open Access | Times Cited: 471
Machine Learning for Catalysis Informatics: Recent Applications and Prospects
Takashi Toyao, Zen Maeno, Satoru Takakusagi, et al.
ACS Catalysis (2019) Vol. 10, Iss. 3, pp. 2260-2297
Closed Access | Times Cited: 433
Predicting retrosynthetic pathways using transformer-based models and a hyper-graph exploration strategy
Philippe Schwaller, Riccardo Petraglia, Valerio Zullo, et al.
Chemical Science (2020) Vol. 11, Iss. 12, pp. 3316-3325
Open Access | Times Cited: 352
Data-Driven Strategies for Accelerated Materials Design
Robert Pollice, Gabriel dos Passos Gomes, Matteo Aldeghi, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 4, pp. 849-860
Open Access | Times Cited: 303
Continuous Flow Upgrading of Selected C2–C6Platform Chemicals Derived from Biomass
Romaric Gérardy, Damien P. Debecker, Julien Estager, et al.
Chemical Reviews (2020) Vol. 120, Iss. 15, pp. 7219-7347
Closed Access | Times Cited: 295
Machine Learning for Chemical Reactions
Markus Meuwly
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 10218-10239
Closed Access | Times Cited: 289
The Synthesizability of Molecules Proposed by Generative Models
Wenhao Gao, Connor W. Coley
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 5714-5723
Open Access | Times Cited: 288
Transfer Learning for Drug Discovery
Chenjing Cai, Shiwei Wang, Youjun Xu, et al.
Journal of Medicinal Chemistry (2020) Vol. 63, Iss. 16, pp. 8683-8694
Closed Access | Times Cited: 267
The Hitchhiker's guide to biocatalysis: recent advances in the use of enzymes in organic synthesis
R. Ann Sheldon, Dean Brady, Moira L. Bode
Chemical Science (2020) Vol. 11, Iss. 10, pp. 2587-2605
Open Access | Times Cited: 252
Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot
Robert W. Epps, Michael Bowen, Amanda A. Volk, et al.
Advanced Materials (2020) Vol. 32, Iss. 30
Closed Access | Times Cited: 250
An autonomous laboratory for the accelerated synthesis of novel materials
Nathan J. Szymanski, Bernardus Rendy, Yuxing Fei, et al.
Nature (2023) Vol. 624, Iss. 7990, pp. 86-91
Open Access | Times Cited: 247
Emerging materials intelligence ecosystems propelled by machine learning
Rohit Batra, Le Song, Rampi Ramprasad
Nature Reviews Materials (2020) Vol. 6, Iss. 8, pp. 655-678
Closed Access | Times Cited: 242
Autonomous experimentation systems for materials development: A community perspective
Eric A. Stach, Brian DeCost, A. Gilad Kusne, et al.
Matter (2021) Vol. 4, Iss. 9, pp. 2702-2726
Open Access | Times Cited: 242
The rise of self-driving labs in chemical and materials sciences
Milad Abolhasani, Eugenia Kumacheva
Nature Synthesis (2023) Vol. 2, Iss. 6, pp. 483-492
Open Access | Times Cited: 229
Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet
Andreas Bender, Isidro Cortés‐Ciriano
Drug Discovery Today (2020) Vol. 26, Iss. 2, pp. 511-524
Open Access | Times Cited: 219
Machine learning the ropes: principles, applications and directions in synthetic chemistry
Felix Strieth‐Kalthoff, Frederik Sandfort, Marwin Segler, et al.
Chemical Society Reviews (2020) Vol. 49, Iss. 17, pp. 6154-6168
Closed Access | Times Cited: 215
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
Computational planning of the synthesis of complex natural products
Barbara Mikulak-Klucznik, Patrycja Gołębiowska, Alison A. Bayly, et al.
Nature (2020) Vol. 588, Iss. 7836, pp. 83-88
Open Access | Times Cited: 210
Synthetic biology 2020–2030: six commercially-available products that are changing our world
Christopher A. Voigt
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 208
Autonomous chemical research with large language models
Daniil A. Boiko, Robert MacKnight, Ben Kline, et al.
Nature (2023) Vol. 624, Iss. 7992, pp. 570-578
Open Access | Times Cited: 208
On scientific understanding with artificial intelligence
Mario Krenn, Robert Pollice, Si Yue Guo, et al.
Nature Reviews Physics (2022) Vol. 4, Iss. 12, pp. 761-769
Open Access | Times Cited: 203
Polymer informatics: Current status and critical next steps
Lihua Chen, Ghanshyam Pilania, Rohit Batra, et al.
Materials Science and Engineering R Reports (2020) Vol. 144, pp. 100595-100595
Open Access | Times Cited: 200
Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning
Aditya Nandy, Chenru Duan, Michael G. Taylor, et al.
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 9927-10000
Closed Access | Times Cited: 197
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