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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:

A comparison of mixed-variables Bayesian optimization approaches
Jhouben Janyk Cuesta Ramirez, Rodolphe Le Riche, Olivier Roustant, et al.
Advanced Modeling and Simulation in Engineering Sciences (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

Hyperparameter Tuning for Machine and Deep Learning with R
Eva Bartz, Thomas Bartz–Beielstein, Martin Zaefferer, et al.
(2023)
Open Access | Times Cited: 32
Accelerating the design of lattice structures using machine learning
Aldair E. Gongora, Caleb Friedman, Deirdre K. Newton, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
pyBOWIE: A Python Library for Constrained Mixed-Integer Bayesian Optimization with Superlevel Set Filtration
Javier Morlet‐Espinosa, Antonio Flores‐Tlacuahuac
Industrial & Engineering Chemistry Research (2025) Vol. 64, Iss. 9, pp. 4942-4965
Closed Access
Run-indexed time-varying Bayesian optimization with positional encoding for auto-tuning of controllers: Application to a plasma-assisted deposition process with run-to-run drifts
Kwanghyun Cho, Ketong Shao, Ali Mesbah
Computers & Chemical Engineering (2024) Vol. 185, pp. 108653-108653
Closed Access | Times Cited: 4
Optimization Strategies for System Architecting Problems
Santiago Valencia
AIAA SCITECH 2022 Forum (2025)
Closed Access
A General Mathematical Framework for Constrained Mixed-variable Blackbox Optimization Problems with Meta and Categorical Variables
Charles Audet, Edward Hallé-Hannan, Sébastien Le Digabel
Operations Research Forum (2023) Vol. 4, Iss. 1
Closed Access | Times Cited: 9
A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems
Javier Morlet‐Espinosa, Antonio Flores‐Tlacuahuac
AIChE Journal (2024) Vol. 70, Iss. 9
Closed Access | Times Cited: 3
Nondeterministic Kriging for Probabilistic Systems with Mixed Continuous and Discrete Input Variables
Jayasekara Jayasekara, Sabarethinam Kameshwar
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2024) Vol. 10, Iss. 4
Closed Access | Times Cited: 1
Time-Varying Bayesian Optimization for MPC Calibration for Run-to-Run Drifting Systems: A Study on Discrete-Temporal Kernels
Ketong Shao, Kwanghyun Cho, Ali Mesbah
IFAC-PapersOnLine (2024) Vol. 58, Iss. 18, pp. 214-219
Open Access | Times Cited: 1
A general square exponential kernel to handle mixed-categorical variables for Gaussian process
Paul Saves, Youssef Diouane, Nathalie Bartoli, et al.
AIAA Aviation 2019 Forum (2022)
Open Access | Times Cited: 3
Warpage Optimization of Package Substrates Using Metamodels - A Review
Fredy John Porathur, Vikram G. Kamble, Eduard Stadler, et al.
(2024), pp. 1-9
Closed Access
A composite transportation network design problem with land-air coordinated operations
Honggang Zhang, Jinbiao Huo, Churong Chen, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 171, pp. 104967-104967
Closed Access
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
Paul Saves, Youssef Diouane, Nathalie Bartoli, et al.
arXiv (Cornell University) (2023)
Open Access
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