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:

Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform
Anirudh M. K. Nambiar, C. Breen, Travis Hart, et al.
ACS Central Science (2022) Vol. 8, Iss. 6, pp. 825-836
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

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: 235
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: 175
A Multi-Objective Active Learning Platform and Web App for Reaction Optimization
José Antonio Garrido Torres, Sii Hong Lau, Pranay Anchuri, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 43, pp. 19999-20007
Open Access | Times Cited: 109
Automated self-optimization, intensification, and scale-up of photocatalysis in flow
Aidan Slattery, Zhenghui Wen, Pauline Tenblad, et al.
Science (2024) Vol. 383, Iss. 6681
Closed Access | Times Cited: 91
AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning
Amanda A. Volk, Robert W. Epps, Daniel T. Yonemoto, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 76
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: 43
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 19
A Slug Flow Platform with Multiple Process Analytics Facilitates Flexible Reaction Optimization
Florian Wagner, Peter Sagmeister, Clemens E. Jusner, et al.
Advanced Science (2024) Vol. 11, Iss. 13
Open Access | Times Cited: 13
Data-Driven Multi-Objective Optimization Tactics for Catalytic Asymmetric Reactions Using Bisphosphine Ligands
Jordan J. Dotson, Lucy van Dijk, Jacob C. Timmerman, et al.
Journal of the American Chemical Society (2022) Vol. 145, Iss. 1, pp. 110-121
Open Access | Times Cited: 61
Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis
Adam D. Clayton, Edward O. Pyzer‐Knapp, Mark Purdie, et al.
Angewandte Chemie International Edition (2022) Vol. 62, Iss. 3
Open Access | Times Cited: 52
Molecular Machine Learning for Chemical Catalysis: Prospects and Challenges
Sukriti Singh, Raghavan B. Sunoj
Accounts of Chemical Research (2023) Vol. 56, Iss. 3, pp. 402-412
Closed Access | Times Cited: 28
AI-driven robotic chemist for autonomous synthesis of organic molecules
Taesin Ha, Dongseon Lee, Youngchun Kwon, et al.
Science Advances (2023) Vol. 9, Iss. 44
Open Access | Times Cited: 28
Continuous flow synthesis of pyridinium salts accelerated by multi-objective Bayesian optimization with active learning
John H. Dunlap, Jeffrey G. Ethier, Amelia A. Putnam‐Neeb, et al.
Chemical Science (2023) Vol. 14, Iss. 30, pp. 8061-8069
Open Access | Times Cited: 27
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
A high-throughput platform for efficient exploration of functional polypeptide chemical space
Guangqi Wu, Haisen Zhou, Jun Zhang, et al.
Nature Synthesis (2023) Vol. 2, Iss. 6, pp. 515-526
Open Access | Times Cited: 25
Atlas: A Brain for Self-driving Laboratories
Riley J. Hickman, Malcolm Sim, Sergio Pablo‐García, et al.
(2023)
Open Access | Times Cited: 20
Autonomous and dynamic precursor selection for solid-state materials synthesis
Nathan J. Szymanski, Pragnay Nevatia, Christopher J. Bartel, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Autonomous reaction Pareto-front mapping with a self-driving catalysis laboratory
Jeffrey A. Bennett, Negin Orouji, Muhammad Babar Khan, et al.
Nature Chemical Engineering (2024) Vol. 1, Iss. 3, pp. 240-250
Open Access | Times Cited: 10
Recent advances and applications in high-throughput continuous flow
Jiaping Yu, Jiaying Liu, Chaoyi Li, et al.
Chemical Communications (2024) Vol. 60, Iss. 24, pp. 3217-3225
Closed Access | Times Cited: 8
High-Speed Circulation Flow Platform Facilitating Practical Large-Scale Heterogeneous Photocatalysis
Chen‐Guang Liu, Lei Song, Qiong Liu, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 5, pp. 1964-1970
Closed Access | Times Cited: 7
Autonomous chemistry: Navigating self-driving labs in chemical and material sciences
Oliver Bayley, Elia Savino, Aidan Slattery, et al.
Matter (2024) Vol. 7, Iss. 7, pp. 2382-2398
Closed Access | Times Cited: 6
Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam
Beilstein Journal of Organic Chemistry (2025) Vol. 21, pp. 10-38
Open Access
Optimizing Phosphine Ligands for Ruthenium Catalysts in Asymmetric Hydrogenation of β-Keto Esters: The Role of Water in Activity and Selectivity
Chasheng He, Guihua Luo, Hongliang Duan, et al.
Molecular Catalysis (2025) Vol. 574, pp. 114877-114877
Closed Access
Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence
Jonathan Zaslavsky, Pauric Bannigan, Christine Allen
Expert Opinion on Drug Delivery (2023) Vol. 20, Iss. 2, pp. 241-257
Closed Access | Times Cited: 16
Vision 2050: Reaction Engineering Roadmap
Praveen Bollini, Moiz Diwan, Pankaj Kumar Gautam, et al.
ACS Engineering Au (2023) Vol. 3, Iss. 6, pp. 364-390
Open Access | Times Cited: 14
Page 1 - Next Page

Scroll to top