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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:

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: 132

Showing 1-25 of 132 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: 210
A field guide to flow chemistry for synthetic organic chemists
Luca Capaldo, Zhenghui Wen, Timothy Noël
Chemical Science (2023) Vol. 14, Iss. 16, pp. 4230-4247
Open Access | Times Cited: 192
Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 181
Predicting Reaction Yields via Supervised Learning
A. Zuranski, Jesus I. Martinez Alvarado, Benjamin J. Shields, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 8, pp. 1856-1865
Closed Access | Times Cited: 145
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: 110
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, et al.
Nature Reviews Materials (2023) Vol. 8, Iss. 4, pp. 241-260
Closed Access | Times Cited: 85
On the use of real-world datasets for reaction yield prediction
Mandana Saebi, Bozhao Nan, John E. Herr, et al.
Chemical Science (2023) Vol. 14, Iss. 19, pp. 4997-5005
Open Access | Times Cited: 70
Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning
David F. Nippa, Kenneth Atz, Remo Hohler, et al.
Nature Chemistry (2023) Vol. 16, Iss. 2, pp. 239-248
Open Access | Times Cited: 42
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 12
Combining generative artificial intelligence and on-chip synthesis for de novo drug design
Francesca Grisoni, Berend J. H. Huisman, Alexander L. Button, et al.
Science Advances (2021) Vol. 7, Iss. 24
Open Access | Times Cited: 100
Site-Selective Cross-Coupling of Polyhalogenated Arenes and Heteroarenes with Identical Halogen Groups
Vignesh Palani, Melecio A. Perea, Richmond Sarpong
Chemical Reviews (2021) Vol. 122, Iss. 11, pp. 10126-10169
Open Access | Times Cited: 95
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: 79
Ultrahigh-Throughput Experimentation for Information-Rich Chemical Synthesis
Babak Mahjour, Yuning Shen, Tim Cernak
Accounts of Chemical Research (2021) Vol. 54, Iss. 10, pp. 2337-2346
Closed Access | Times Cited: 77
Machine learning for design principles for single atom catalysts towards electrochemical reactions
Mohsen Tamtaji, Hanyu Gao, Md Delowar Hossain, et al.
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 29, pp. 15309-15331
Open Access | Times Cited: 69
The case for data science in experimental chemistry: examples and recommendations
Junko Yano, Kelly J. Gaffney, John M. Gregoire, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 5, pp. 357-370
Open Access | Times Cited: 61
Third-harmonic Mie scattering from semiconductor nanohelices
Lukáš Ohnoutek, Ji‐Young Kim, Jun Lu, et al.
Nature Photonics (2022) Vol. 16, Iss. 2, pp. 126-133
Open Access | Times Cited: 51
Predicting reaction conditions from limited data through active transfer learning
Eunjae Shim, Joshua Kammeraad, Ziping Xu, et al.
Chemical Science (2022) Vol. 13, Iss. 22, pp. 6655-6668
Open Access | Times Cited: 45
A reactivity model for oxidative addition to palladium enables quantitative predictions for catalytic cross-coupling reactions
Jingru Lu, Sofia Donnecke, Irina Paci, et al.
Chemical Science (2022) Vol. 13, Iss. 12, pp. 3477-3488
Open Access | Times Cited: 44
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: 41
Complex molecule synthesis by electrocatalytic decarboxylative cross-coupling
Benxiang Zhang, Jiayan He, Yang Gao, et al.
Nature (2023) Vol. 623, Iss. 7988, pp. 745-751
Closed Access | Times Cited: 39
Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network
Hao Xu, Jinglong Lin, Dongxiao Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 33
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: 29
A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data
Baiqing Li, Shimin Su, Chan Zhu, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 23
Structural design of organic battery electrode materials: from DFT to artificial intelligence
Tingting Wu, Gaole Dai, Jinjia Xu, et al.
Rare Metals (2023) Vol. 42, Iss. 10, pp. 3269-3303
Closed Access | Times Cited: 23
Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation
Hongyuan Sheng, Jingwen Sun, Oliver Rodríguez, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
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