Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine Learning in Computer-Aided Synthesis Planning
Connor W. Coley, William H. Green, Klavs F. Jensen
Accounts of Chemical Research (2018) Vol. 51, Iss. 5, pp. 1281-1289
Closed Access | Times Cited: 635

Showing 1-25 of 635 citing articles:

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
Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery
Xin Yang, Yifei Wang, Ryan Byrne, et al.
Chemical Reviews (2019) Vol. 119, Iss. 18, pp. 10520-10594
Open Access | Times Cited: 720
Drug discovery with explainable artificial intelligence
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
Nature Machine Intelligence (2020) Vol. 2, Iss. 10, pp. 573-584
Open Access | Times Cited: 686
Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction Prediction
Philippe Schwaller, Teodoro Laino, Théophile Gaudin, et al.
ACS Central Science (2019) Vol. 5, Iss. 9, pp. 1572-1583
Open Access | Times Cited: 650
Rethinking drug design in the artificial intelligence era
Petra Schneider, W. Patrick Walters, Alleyn T. Plowright, et al.
Nature Reviews Drug Discovery (2019) Vol. 19, Iss. 5, pp. 353-364
Open Access | Times Cited: 626
QSAR without borders
Eugene Muratov, Jürgen Bajorath, Robert P. Sheridan, et al.
Chemical Society Reviews (2020) Vol. 49, Iss. 11, pp. 3525-3564
Open Access | Times Cited: 591
A graph-convolutional neural network model for the prediction of chemical reactivity
Connor W. Coley, Wengong Jin, Luke Rogers, et al.
Chemical Science (2018) Vol. 10, Iss. 2, pp. 370-377
Open Access | Times Cited: 548
The promise of artificial intelligence in chemical engineering: Is it here, finally?
Venkat Venkatasubramanian
AIChE Journal (2018) Vol. 65, Iss. 2, pp. 466-478
Open Access | Times Cited: 502
Deep Learning in Chemistry
Adam C. Mater, Michelle L. Coote
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 6, pp. 2545-2559
Closed Access | Times Cited: 498
Advancing Drug Discovery via Artificial Intelligence
H. C. Stephen Chan, Hanbin Shan, Thamani Dahoun, et al.
Trends in Pharmacological Sciences (2019) Vol. 40, Iss. 8, pp. 592-604
Closed Access | Times Cited: 476
Biocatalysis
Elizabeth L. Bell, William Finnigan, Scott P. France, et al.
Nature Reviews Methods Primers (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 416
Using Machine Learning To Predict Suitable Conditions for Organic Reactions
Hanyu Gao, Thomas J. Struble, Connor W. Coley, et al.
ACS Central Science (2018) Vol. 4, Iss. 11, pp. 1465-1476
Open Access | Times Cited: 360
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
Computational Ligand Descriptors for Catalyst Design
Derek J. Durand, Natalie Fey
Chemical Reviews (2019) Vol. 119, Iss. 11, pp. 6561-6594
Open Access | Times Cited: 348
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
The Role of Machine Learning in the Understanding and Design of Materials
Seyed Mohamad Moosavi, Kevin Maik Jablonka, Berend Smit
Journal of the American Chemical Society (2020) Vol. 142, Iss. 48, pp. 20273-20287
Open Access | Times Cited: 284
Next-Generation Experimentation with Self-Driving Laboratories
Florian Häse, Loı̈c M. Roch, Alán Aspuru‐Guzik
Trends in Chemistry (2019) Vol. 1, Iss. 3, pp. 282-291
Closed Access | Times Cited: 282
Deep learning in drug discovery: opportunities, challenges and future prospects
Antonio Lavecchia
Drug Discovery Today (2019) Vol. 24, Iss. 10, pp. 2017-2032
Closed Access | Times Cited: 275
Synthetic organic chemistry driven by artificial intelligence
A. Filipa Almeida, Rui Moreira, Tiago Rodrigues
Nature Reviews Chemistry (2019) Vol. 3, Iss. 10, pp. 589-604
Open Access | Times Cited: 253
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
Applications of Deep Learning in Molecule Generation and Molecular Property Prediction
W. Patrick Walters, Regina Barzilay
Accounts of Chemical Research (2020) Vol. 54, Iss. 2, pp. 263-270
Closed Access | Times Cited: 236
Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
Haoxin Mai, Tu C. Le, Dehong Chen, et al.
Chemical Reviews (2022) Vol. 122, Iss. 16, pp. 13478-13515
Closed Access | Times Cited: 236
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
The Open Reaction Database
Steven Kearnes, Michael Maser, Michael Wleklinski, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 45, pp. 18820-18826
Open Access | Times Cited: 216
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
Page 1 - Next Page

Scroll to top