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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:

Toward Machine Learning-Enhanced High-Throughput Experimentation
Natalie S. Eyke, Brent A. Koscher, Klavs F. Jensen
Trends in Chemistry (2021) Vol. 3, Iss. 2, pp. 120-132
Open Access | Times Cited: 106

Showing 26-50 of 106 citing articles:

Electrochemical Mechanistic Analysis from Cyclic Voltammograms Based on Deep Learning
Benjamin B. Hoar, Weitong Zhang, Shuangning Xu, et al.
ACS Measurement Science Au (2022) Vol. 2, Iss. 6, pp. 595-604
Open Access | Times Cited: 30
HTE and machine learning-assisted development of iridium(i)-catalyzed selective O–H bond insertion reactions toward carboxymethyl ketones
Yougen Xu, Feixiao Ren, Lebin Su, et al.
Organic Chemistry Frontiers (2023) Vol. 10, Iss. 5, pp. 1153-1159
Closed Access | Times Cited: 17
Temperature-Controlled Photoreactors and ChemBeads as Key Technologies for Robust and Practical Photochemical HTE
Paolo Piacentini, James M. Fordham, Eloísa Serrano, et al.
Organic Process Research & Development (2023) Vol. 27, Iss. 4, pp. 798-810
Closed Access | Times Cited: 14
When Yield Prediction Does Not Yield Prediction: An Overview of the Current Challenges
Varvara Voinarovska, Mikhail A. Kabeshov, Dmytro Dudenko, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 42-56
Closed Access | Times Cited: 14
Exploring the Ambient-Temperature Degradation Reactions of PET through Two-Step Machine Learning and High-Throughput Experimentation
Yaxin Wang, Shuyuan Li, Kong Meng, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 14, pp. 5415-5426
Closed Access | Times Cited: 4
Top 20 influential AI-based technologies in chemistry
Valentine P. Ananikov
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100075-100075
Open Access | Times Cited: 4
Prospects and challenges for autonomous catalyst discovery viewed from an experimental perspective
Annette Trunschke
Catalysis Science & Technology (2022) Vol. 12, Iss. 11, pp. 3650-3669
Open Access | Times Cited: 24
Machine learning, artificial intelligence, and chemistry: How smart algorithms are reshaping simulation and the laboratory
David Kuntz, Angela K. Wilson
Pure and Applied Chemistry (2022) Vol. 94, Iss. 8, pp. 1019-1054
Open Access | Times Cited: 24
Intensification of catalytic reactors: A synergic effort of Multiscale Modeling, Machine Learning and Additive Manufacturing
Mauro Bracconi
Chemical Engineering and Processing - Process Intensification (2022) Vol. 181, pp. 109148-109148
Closed Access | Times Cited: 24
Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development
Daniel J. Griffin, Connor W. Coley, Scott A. Frank, et al.
Organic Process Research & Development (2023) Vol. 27, Iss. 11, pp. 1868-1879
Open Access | Times Cited: 12
Guiding experiment with Machine Learning: A case study of biochar adsorption of Ciprofloxacin
Siyuan Jiang, Yilong Hou, Zhihao Man, et al.
Separation and Purification Technology (2023) Vol. 334, pp. 126023-126023
Closed Access | Times Cited: 12
Accelerating reaction modeling using dynamic flow experiments, part 1: design space exploration
Peter Sagmeister, Christine Schiller, Peter Weiß, et al.
Reaction Chemistry & Engineering (2023) Vol. 8, Iss. 11, pp. 2818-2825
Open Access | Times Cited: 11
Advancement in Organic Synthesis Through High Throughput Experimentation
Shruti A. Biyani, Yuta W. Moriuchi, David H. Thompson
Chemistry - Methods (2021) Vol. 1, Iss. 7, pp. 323-339
Open Access | Times Cited: 30
Mechanisms, challenges, and opportunities of dual Ni/photoredox‐catalyzed C(sp2)–C(sp3) cross‐couplings
Mingbin Yuan, Osvaldo Gutiérrez
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 12, Iss. 3
Open Access | Times Cited: 26
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, et al.
Engineering (2023) Vol. 27, pp. 23-30
Open Access | Times Cited: 10
Data-oriented protein kinase drug discovery
Elena Xerxa, Jürgen Bajorath
European Journal of Medicinal Chemistry (2024) Vol. 271, pp. 116413-116413
Open Access | Times Cited: 3
Machine learning-guided strategies for reaction conditions design and optimization
Lung-Yi Chen, Yi‐Pei Li
Beilstein Journal of Organic Chemistry (2024) Vol. 20, pp. 2476-2492
Open Access | Times Cited: 3
Autonomous flow reactors for discovery and invention
Amanda A. Volk, Milad Abolhasani
Trends in Chemistry (2021) Vol. 3, Iss. 7, pp. 519-522
Open Access | Times Cited: 25
Working at the interfaces of data science and synthetic electrochemistry
Jesus I. Martinez Alvarado, Jonathan M. Meinhardt, Song Lin
Tetrahedron Chem (2022) Vol. 1, pp. 100012-100012
Open Access | Times Cited: 17
Interpretable machine learning for developing high-performance organic solar cells
Elyas Abbasi Jannat Abadi, Harikrishna Sahu, Seyed Morteza Javadpour, et al.
Materials Today Energy (2022) Vol. 25, pp. 100969-100969
Closed Access | Times Cited: 16
Autonomous Nanocrystal Doping by Self‐Driving Fluidic Micro‐Processors
Fazel Bateni, Robert W. Epps, Kameel Antami, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 16
Recent development in machine learning of polymer membranes for liquid separation
Qisong Xu, Jianwen Jiang
Molecular Systems Design & Engineering (2022) Vol. 7, Iss. 8, pp. 856-872
Closed Access | Times Cited: 15
Optimisation of surfactin yield in Bacillus using data-efficient active learning and high-throughput mass spectrometry
Ricardo Valencia Albornoz, Diego A. Oyarzún, Karl Burgess
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1226-1233
Open Access | Times Cited: 2
Design and Validation of a High-Throughput Reductive Catalytic Fractionation Method
Jacob K. Kenny, Sasha R. Neefe, David G. Brandner, et al.
JACS Au (2024) Vol. 4, Iss. 6, pp. 2173-2187
Open Access | Times Cited: 2
Artificial intelligence and machine learning at various stages and scales of process systems engineering
Karthik K. Srinivasan, Anjana Puliyanda, Devavrat Thosar, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 103, Iss. 3, pp. 1004-1035
Open Access | Times Cited: 2

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