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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:

Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization
Jose Pablo Folch, Robert M. Lee, Behrang Shafei, et al.
Computers & Chemical Engineering (2023) Vol. 172, pp. 108194-108194
Open Access | Times Cited: 19

Showing 19 citing articles:

Machine learning-assisted discovery of flow reactor designs
Thomas Savage, Nausheen Basha, Jonathan McDonough, et al.
Nature Chemical Engineering (2024) Vol. 1, Iss. 8, pp. 522-531
Open Access | Times Cited: 6
Bayesian optimisation for efficient material discovery: a mini review
Yimeng Jin, Priyank V. Kumar
Nanoscale (2023) Vol. 15, Iss. 26, pp. 10975-10984
Closed Access | Times Cited: 16
Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
Xinmin Song, Weihua Wei, Junbo Zhou, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5137-5137
Open Access | Times Cited: 14
Bayesian Optimization as a Flexible and Efficient Design Framework for Sustainable Process Systems
Joel A. Paulson, Calvin Tsay
Current Opinion in Green and Sustainable Chemistry (2024), pp. 100983-100983
Open Access | Times Cited: 4
Efficient constitutive parameter identification through optimisation-based techniques: A Comparative analysis and novel composite Bayesian optimisation strategy
Rui P. Cardoso Coelho, Miguel Vieira de Carvalho, F.M. Andrade Pires
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 427, pp. 117039-117039
Open Access | Times Cited: 3
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
Multi-fidelity data-driven design and analysis of reactor and tube simulations
Thomas Savage, Nausheen Basha, Jonathan McDonough, et al.
Computers & Chemical Engineering (2023) Vol. 179, pp. 108410-108410
Open Access | Times Cited: 9
Outlook: How I Learned to Love Machine Learning (A Personal Perspective on Machine Learning in Process Systems Engineering)
Ví­ctor M. Zavala
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 23, pp. 8995-9005
Open Access | Times Cited: 8
A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations
Joel A. Paulson, Farshud Sorourifar, Ali Mesbah
2022 American Control Conference (ACC) (2023) Vol. 29, pp. 1295-1306
Closed Access | Times Cited: 7
Data augmentation driven by optimization for membrane separation process synthesis
Bernardetta Addis, Christophe Castel, Amalia Macali, et al.
Computers & Chemical Engineering (2023) Vol. 177, pp. 108342-108342
Open Access | Times Cited: 6
Learning and optimization under epistemic uncertainty with Bayesian hybrid models
Elvis A. Eugene, Kyla D. Jones, Xian Gao, et al.
Computers & Chemical Engineering (2023) Vol. 179, pp. 108430-108430
Open Access | Times Cited: 5
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems
Markus Grimm, Sébastien Paul, Pierre Chainais
Computers & Chemical Engineering (2024) Vol. 189, pp. 108779-108779
Closed Access
Machine-learning optimization of 3D-printed flow-reactor geometry
Jeffrey A. Bennett, Milad Abolhasani
Nature Chemical Engineering (2024) Vol. 1, Iss. 8, pp. 501-503
Closed Access
Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays
Ruby Sedgwick, John Goertz, Molly M. Stevens, et al.
Biotechnology and Bioengineering (2024)
Open Access
Optimizing Heart Disease Prediction Using a Hybrid Dynamic Swarm Evolution Approach
V.N. Parikh, Bhoomi Sharma, Arnav Byotra, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Asynchronous Multi-Information Source Bayesian Optimization
Danial Khatamsaz, Raymundo Arróyave, Douglas Allaire
Journal of Mechanical Design (2024) Vol. 146, Iss. 10
Closed Access
Bayesian optimization for quick determination of operating variables of simulated moving bed chromatography
Woohyun Jeong, Namjin Jang, Jay H. Lee
Computers & Chemical Engineering (2024) Vol. 192, pp. 108872-108872
Closed Access
Asynchronous Multi-Fidelity Hyperparameter Optimization of Spiking Neural Networks
Thomas Firmin, Pierre Boulet, El‐Ghazali Talbi
(2024), pp. 55-62
Open Access
Efficient Constitutive Parameter Identification Through Optimisation-Based Techniques: A Comparative Analysis and Novel Composite Bayesian Optimisation Strategy
Rui Cardoso Coelho, A. Francisca Carvalho Alves, F.M. Andrade Pires
(2023)
Closed Access
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