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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:

Machine learning directed multi-objective optimization of mixed variable chemical systems
Oliver J. Kershaw, Adam D. Clayton, Jamie A. Manson, et al.
Chemical Engineering Journal (2022) Vol. 451, pp. 138443-138443
Open Access | Times Cited: 53

Showing 1-25 of 53 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: 183
Accelerated Chemical Reaction Optimization Using Multi-Task Learning
Connor J. Taylor, Kobi Felton, Daniel Wigh, et al.
ACS Central Science (2023) Vol. 9, Iss. 5, pp. 957-968
Open Access | Times Cited: 59
Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 40
Quid Pro Flow
Andrea Laybourn, Karen Robertson, Anna G. Slater
Journal of the American Chemical Society (2023) Vol. 145, Iss. 8, pp. 4355-4365
Open Access | Times Cited: 37
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
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
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
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
Future Perspectives on the Automation and Biocompatibility of Molecularly Imprinted Polymers for Healthcare Applications
Saweta Garg, Pankaj Singla, Sarbjeet Kaur, et al.
Macromolecules (2025)
Closed Access
Optimal control of sewage treatment process using a dynamic multi-objective particle swarm optimization based on crowding distance
Hongliang Dai, Jinkun Zhao, Zeyu Wang, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 2, pp. 109484-109484
Closed Access | Times Cited: 19
Data Science Guided Multiobjective Optimization of a Stereoconvergent Nickel-Catalyzed Reduction of Enol Tosylates to Access Trisubstituted Alkenes
Natalie P. Romer, Daniel S. Min, Jason Y. Wang, et al.
ACS Catalysis (2024) Vol. 14, Iss. 7, pp. 4699-4708
Closed Access | Times Cited: 5
Recent Developments in Reactor Automation for Multistep Chemical Synthesis
Adam D. Clayton
Chemistry - Methods (2023) Vol. 3, Iss. 12
Open Access | Times Cited: 13
An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization
Nanjiang Dong, Tao Zhang, Rui Wang, et al.
Information Sciences (2024) Vol. 659, pp. 120053-120053
Closed Access | Times Cited: 3
Automated kinetic model identification via cloud services using model-based design of experiments
Emmanuel Agunloye, Panagiotis Petsagkourakis, Muhammad Yusuf, et al.
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 7, pp. 1859-1876
Open Access | Times Cited: 3
A Chemist’s Guide to Multi-Objective Optimization Solvers for Reaction Optimization
Aravind Senthil Vel, Daniel Cortés‐Borda, François‐Xavier Felpin
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 11, pp. 2882-2891
Closed Access | Times Cited: 3
Continuous Flow Synthesis of N,O-Dimethyl-N′-nitroisourea Monitored by Inline Fourier Transform Infrared Spectroscopy: Bayesian Optimization and Kinetic Modeling
Jiapeng Guo, Guihua Luo, Kejie Chai, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 23, pp. 10162-10171
Closed Access | Times Cited: 3
Bayesian Self‐Optimization for Telescoped Continuous Flow Synthesis
Adam D. Clayton, Edward O. Pyzer‐Knapp, Mark Purdie, et al.
Angewandte Chemie (2022) Vol. 135, Iss. 3
Open Access | Times Cited: 16
Meta optimization based on real-time benchmarking of multiple surrogate models for autonomous flow synthesis
Amirreza Mottafegh, Gwang‐Noh Ahn, Dong‐Pyo Kim
Lab on a Chip (2023) Vol. 23, Iss. 6, pp. 1613-1621
Closed Access | Times Cited: 8
Enhancing Optimization of Mixed Variables on a Robotic Flow Platform: Integrating Statistical Filtering with Nelder–Mead and Bayesian Methods
Aravind Senthil Vel, Kouakou Eric Konan, Daniel Cortés‐Borda, et al.
Organic Process Research & Development (2023) Vol. 28, Iss. 5, pp. 1597-1606
Closed Access | Times Cited: 8
Multi-objective Bayesian optimisation using q-noisy expected hypervolume improvement (qNEHVI) for the Schotten–Baumann reaction
Jiyizhe Zhang, Naoto Sugisawa, Kobi Felton, et al.
Reaction Chemistry & Engineering (2023) Vol. 9, Iss. 3, pp. 706-712
Open Access | Times Cited: 8
Bayesian optimization of radical polymerization reactions in a flow synthesis system
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
(2024)
Open Access | Times Cited: 2
A quantitative investigation on pyrolysis behaviors of metal ion-exchanged coal macerals by interpretable machine learning algorithms
Qiuxiang Yao, Linyang Wang, Mingming Ma, et al.
Energy (2024) Vol. 300, pp. 131614-131614
Closed Access | Times Cited: 2
Droplet microfluidic flow platforms for automated reaction screening and optimisation
Zara Arshad, A. John Blacker, Thomas W. Chamberlain, et al.
Current Opinion in Green and Sustainable Chemistry (2024) Vol. 48, pp. 100940-100940
Open Access | Times Cited: 2
A novel multi-objective optimization strategy based on vibrating particle system algorithm applied to chemical process design
Jéssica Cristiane Andrade, Fran Sérgio Lobato, Sérgio Mauro da Silva Neiro, et al.
Process Safety and Environmental Protection (2024) Vol. 208, pp. 161-183
Closed Access | Times Cited: 2
Ultra-fast and sustainable formal [3 + 3] cycloadditions enabled by mixed variable optimization on an automated micromole scale flow platform
Kouakou Eric Konan, Aravind Senthil Vel, Abollé Abollé, et al.
Reaction Chemistry & Engineering (2023) Vol. 8, Iss. 10, pp. 2446-2454
Closed Access | Times Cited: 7
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