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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:

Autonomous Multi‐Step and Multi‐Objective Optimization Facilitated by Real‐Time Process Analytics
Peter Sagmeister, F. F. Ort, Clemens E. Jusner, et al.
Advanced Science (2022) Vol. 9, Iss. 10
Open Access | Times Cited: 61

Showing 26-50 of 61 citing articles:

Self-driving laboratory for emulsion polymerization
Peter M. Pittaway, Stephen T. Knox, Olivier J. Cayre, et al.
Chemical Engineering Journal (2025), pp. 160700-160700
Open Access
Chemical Process Development in the Pharmaceutical Industry in Europe—Insights and Perspectives from Industry Scientists
Joachim I. Krueger, André P. Dieskau, Jorma Hassfeld, et al.
Angewandte Chemie International Edition (2025)
Open Access
Chemical Process Development in the Pharmaceutical Industry in Europe—Insights and Perspectives from Industry Scientists
Joachim I. Krueger, André P. Dieskau, Jorma Hassfeld, et al.
Angewandte Chemie (2025)
Open Access
Automated optimization under dynamic flow conditions
Jonathan P. McMullen, Brian M. Wyvratt
Reaction Chemistry & Engineering (2022) Vol. 8, Iss. 1, pp. 137-151
Closed Access | Times Cited: 18
Autonomous model-based experimental design for rapid reaction development
Sebastian Knoll, Clemens E. Jusner, Peter Sagmeister, et al.
Reaction Chemistry & Engineering (2022) Vol. 7, Iss. 11, pp. 2375-2384
Closed Access | Times Cited: 17
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
The Rocky Road to a Digital Lab
Peter Sagmeister, Jason D. Williams, C. Oliver Kappe
CHIMIA International Journal for Chemistry (2023) Vol. 77, Iss. 5, pp. 300-300
Open Access | Times Cited: 9
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: 9
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: 9
Optimizing telescoped heterogeneous catalysis with noise-resilient multi-objective Bayesian optimization
Guihua Luo, Xilin Yang, Weike Su, et al.
Chemical Engineering Science (2024) Vol. 298, pp. 120434-120434
Open Access | Times Cited: 3
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
Adaptive mixed variable Bayesian self-optimisation of catalytic reactions
Naser Aldulaijan, Joe A. Marsden, Jamie A. Manson, et al.
Reaction Chemistry & Engineering (2023) Vol. 9, Iss. 2, pp. 308-316
Open Access | Times Cited: 8
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 Abolle, et al.
Reaction Chemistry & Engineering (2023) Vol. 8, Iss. 10, pp. 2446-2454
Closed Access | Times Cited: 7
A pharma perspective on sustainability advantages through adoption of continuous flow
Lara J. Nolan, Samuel J. King, Scott Wharry, et al.
Current Opinion in Green and Sustainable Chemistry (2024) Vol. 46, pp. 100886-100886
Closed Access | Times Cited: 2
An Automated Dual Modeling Approach to Accelerate Reaction Analysis and Optimization
Peter Sagmeister, Lukas Melnizky, Jason D. Williams, et al.
(2024)
Open Access | Times Cited: 2
Self-Optimizing Flow Reactions for Sustainability: An Experimental Bayesian Optimization Study
Florian Wagner, Peter Sagmeister, Thomas G. Tampone, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 26, pp. 10002-10010
Open Access | Times Cited: 2
Continuous flow as an enabling technology for sustainable supramolecular chemistry
Firdaus Parveen, Nick Watson, Abbie M. Scholes, et al.
Current Opinion in Green and Sustainable Chemistry (2024) Vol. 48, pp. 100935-100935
Open Access | Times Cited: 2
Continuous flow synthesis of N,O-dimethyl-N'-nitroisourea monitored by inline FTIR: comparing machine learning and kinetic modeling for optimization
Jiapeng Guo, Guihua Luo, Kejie Chai, et al.
(2024)
Open Access | Times Cited: 1
Accelerating reaction optimization through data-rich experimentation and machine-assisted process development
Jonathan P. McMullen, Jon A. Jurica
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 8, pp. 2160-2170
Closed Access | Times Cited: 1
Simultaneous reaction- and analytical model building using dynamic flow experiments to accelerate process development
Peter Sagmeister, Lukas Melnizky, Jason D. Williams, et al.
Chemical Science (2024) Vol. 15, Iss. 31, pp. 12523-12533
Open Access | Times Cited: 1
Autonomous Online Optimization in Flash Chemistry Using Online Mass Spectrometry
Claudio Lehmann, Kevin Eckey, Maria Viehoff, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 8, pp. 3108-3118
Open Access | Times Cited: 1
Automated Optimization of a Multistep, Multiphase Continuous Flow Process for Pharmaceutical Synthesis
Sarah L. Boyall, Holly Clarke, Thomas M. Dixon, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 41, pp. 15125-15133
Open Access | Times Cited: 1
Model-based real-time optimization in continuous pharmaceutical manufacturing
Hazem Salim Damiri, Martin Steinberger, Lisa Kuchler, et al.
Computers & Chemical Engineering (2024) Vol. 192, pp. 108915-108915
Closed Access | Times Cited: 1
Artificial neural networks and data fusion enable concentration predictions for inline process analytics
Peter Sagmeister, Robin Hierzegger, Jason D. Williams, et al.
Digital Discovery (2022) Vol. 1, Iss. 4, pp. 405-412
Open Access | Times Cited: 7
A self-optimised approach to synthesising DEHiBA for advanced nuclear reprocessing, exploiting the power of machine-learning
Thomas Shaw, Adam D. Clayton, Ricardo Labes, et al.
Reaction Chemistry & Engineering (2023) Vol. 9, Iss. 2, pp. 426-438
Open Access | Times Cited: 2

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