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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:

Multi-objective Bayesian optimisation of a two-step synthesis of p-cymene from crude sulphate turpentine
Perman Jorayev, Danilo Russo, Joshua D. Tibbetts, et al.
Chemical Engineering Science (2021) Vol. 247, pp. 116938-116938
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

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: 25
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: 59
The effect of chemical representation on active machine learning towards closed-loop optimization
Alexander Pomberger, A. A. Pedrina McCarthy, Asif Iqbal Khan, et al.
Reaction Chemistry & Engineering (2022) Vol. 7, Iss. 6, pp. 1368-1379
Open Access | Times Cited: 45
Continuous stirred-tank reactor cascade platform for self-optimization of reactions involving solids
Kakasaheb Y. Nandiwale, Travis Hart, Andrew F. Zahrt, et al.
Reaction Chemistry & Engineering (2022) Vol. 7, Iss. 6, pp. 1315-1327
Open Access | Times Cited: 41
The green chemistry paradigm in modern organic synthesis
Sergei G. Zlotin, Ksenia S. Egorova, Valentine P. Ananikov, et al.
Russian Chemical Reviews (2023) Vol. 92, Iss. 12, pp. RCR5104-RCR5104
Closed 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: 27
Recycle-BERT: Extracting Knowledge about Plastic Waste Recycling by Natural Language Processing
Avan Kumar, Bhavik R. Bakshi, Manojkumar Ramteke, et al.
ACS Sustainable Chemistry & Engineering (2023) Vol. 11, Iss. 32, pp. 12123-12134
Closed Access | Times Cited: 16
Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing
Peiwen Liu, Hui Jin, Yan Chen, et al.
Chinese Chemical Letters (2023) Vol. 35, Iss. 3, pp. 108877-108877
Closed Access | Times Cited: 16
Optimizing telescoped heterogeneous catalysis with noise-resilient multi-objective Bayesian optimization
Guihua Luo, Xilin Yang, Weike Su, et al.
(2024)
Open Access | Times Cited: 5
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: 5
Multi-objective Bayesian optimization of continuous purifications with automated phase separation for on-demand manufacture of DEHiBA
Thomas Shaw, Adam D. Clayton, Joseph A. Houghton, et al.
Separation and Purification Technology (2025), pp. 131288-131288
Closed Access
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
Automated pH Adjustment Driven by Robotic Workflows and Active Machine Learning
Alexander Pomberger, Nicholas A. Jose, D. Walz, et al.
Chemical Engineering Journal (2022) Vol. 451, pp. 139099-139099
Open Access | Times Cited: 24
Multiobjective Bayesian Optimization Framework for the Synthesis of Methanol from Syngas Using Interpretable Gaussian Process Models
Avan Kumar, Kamal K. Pant, Sreedevi Upadhyayula, et al.
ACS Omega (2022) Vol. 8, Iss. 1, pp. 410-421
Open Access | Times Cited: 24
Exploring ultrafast flow chemistry by autonomous self-optimizing platform
Gwang‐Noh Ahn, Jiho Kang, Hyune‐Jea Lee, et al.
Chemical Engineering Journal (2022) Vol. 453, pp. 139707-139707
Closed Access | Times Cited: 22
Continuous heterogeneous synthesis of hexafluoroacetone and its machine learning-assisted optimization
Tingting Qi, Guihua Luo, Haotian Xue, et al.
Journal of Flow Chemistry (2023) Vol. 13, Iss. 3, pp. 337-346
Closed Access | Times Cited: 14
A deep learning-aided multi-objective optimization of a downstream process for production of monoclonal antibody products
Md Nasre Alam, Anupa Anupa, Hariprasad Kodamana, et al.
Biochemical Engineering Journal (2024) Vol. 208, pp. 109357-109357
Closed Access | Times Cited: 4
Operator-free HPLC automated method development guided by Bayesian optimization
Thomas M. Dixon, Jeanine Williams, Maximilian O. Besenhard, et al.
Digital Discovery (2024) Vol. 3, Iss. 8, pp. 1591-1601
Open Access | Times Cited: 4
Utopia Point Bayesian Optimization Finds Condition-Dependent Selectivity for N-Methyl Pyrazole Condensation
Derek M. Dalton, Richard C. Walroth, Caroline Rouget-Virbel, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 23, pp. 15779-15786
Open Access | Times Cited: 3
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
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
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
Reaction-Agnostic Featurization of Bidentate Ligands for Bayesian Ridge Regression of Enantioselectivity
Alexandre A. Schoepfer, Rubén Laplaza, Matthew D. Wodrich, et al.
ACS Catalysis (2024) Vol. 14, Iss. 12, pp. 9302-9312
Open Access | Times Cited: 2
A machine learning-enabled process optimization of ultra-fast flow chemistry with multiple reaction metrics
Dogancan Karan, Guoying Chen, Nicholas A. Jose, et al.
Reaction Chemistry & Engineering (2023) Vol. 9, Iss. 3, pp. 619-629
Open Access | Times Cited: 7
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
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