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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:

Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations
Mickaël Binois, David Ginsbourger, Olivier Roustant
European Journal of Operational Research (2014) Vol. 243, Iss. 2, pp. 386-394
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Data-Driven Evolutionary Optimization: An Overview and Case Studies
Yaochu Jin, Handing Wang, Tinkle Chugh, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 3, pp. 442-458
Open Access | Times Cited: 511
Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles
Handing Wang, Yaochu Jin, Chaoli Sun, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 2, pp. 203-216
Open Access | Times Cited: 198
Expected improvement for expensive optimization: a review
Dawei Zhan, Huanlai Xing
Journal of Global Optimization (2020) Vol. 78, Iss. 3, pp. 507-544
Closed Access | Times Cited: 151
Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation
Jian-Yu Li, Zhi‐Hui Zhan, Chuan Wang, et al.
IEEE Transactions on Evolutionary Computation (2020) Vol. 24, Iss. 5, pp. 923-937
Open Access | Times Cited: 127
Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case
Richard Allmendinger, Michael Emmerich, Jussi Hakanen, et al.
Journal of Multi-Criteria Decision Analysis (2017) Vol. 24, Iss. 1-2, pp. 5-24
Open Access | Times Cited: 81
Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark
Daniel Horn, Tobias Wagner, Dirk Biermann, et al.
Lecture notes in computer science (2015), pp. 64-78
Closed Access | Times Cited: 67
Multi-objective optimization of cycloidal blade-controlled propeller: An experimental approach
Guillaume Fasse, Matthieu Sacher, Frédéric Hauville, et al.
Ocean Engineering (2024) Vol. 299, pp. 117363-117363
Closed Access | Times Cited: 6
A population data-driven workflow for COVID-19 modeling and learning
Jonathan Ozik, Justin M. Wozniak, Nicholson Collier, et al.
The International Journal of High Performance Computing Applications (2021) Vol. 35, Iss. 5, pp. 483-499
Open Access | Times Cited: 41
A digital-twin-based adaptive multi-objective Harris Hawks Optimizer for dynamic hybrid flow green scheduling problem with dynamic events
Yankai Wang, Shilong Wang, Wenhan Yang, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110274-110274
Closed Access | Times Cited: 11
Decoupled Design of Experiments for Expensive Multi-objective Problems
Mickaël Binois, Jürgen Branke, Jonathan E. Fieldsend, et al.
Lecture notes in computer science (2025), pp. 37-50
Closed Access
mooplot: Graphical Visualizations for Multi-Objective Optimization
Manuel López‐Ibáñez
(2025)
Open Access
Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering
Simon Olofsson, Mohammad Mehrian, Roberto Calandra, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 66, Iss. 3, pp. 727-739
Open Access | Times Cited: 36
Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior
Dario Azzimonti, Julien Bect, Clément Chevalier, et al.
SIAM/ASA Journal on Uncertainty Quantification (2016) Vol. 4, Iss. 1, pp. 850-874
Open Access | Times Cited: 33
Contour location for reliability in airfoil simulation experiments using deep Gaussian processes
Annie S. Booth, S. Ashwin Renganathan, Robert B. Gramacy
The Annals of Applied Statistics (2025) Vol. 19, Iss. 1
Closed Access
GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis
Mickaël Binois, Victor Picheny
Journal of Statistical Software (2019) Vol. 89, Iss. 8
Open Access | Times Cited: 27
Multiobjective Optimization Based on Expensive Robotic Experiments under Heteroscedastic Noise
Ryo Ariizumi, Matthew Tesch, Kenta Kato, et al.
IEEE Transactions on Robotics (2016) Vol. 33, Iss. 2, pp. 468-483
Closed Access | Times Cited: 26
Evolutionary robust optimization in production planning – interactions between number of objectives, sample size and choice of robustness measure
Juan E. Diaz, Julia Handl, Dong‐Ling Xu
Computers & Operations Research (2016) Vol. 79, pp. 266-278
Open Access | Times Cited: 25
Fast Update of Conditional Simulation Ensembles
Clément Chevalier, Xavier Emery, David Ginsbourger
Mathematical Geosciences (2014) Vol. 47, Iss. 7, pp. 771-789
Closed Access | Times Cited: 24
Kriging-based simulation optimization: An emergency medical system application
Guilherme Freitas Coelho, Luiz Ricardo Pinto
Journal of the Operational Research Society (2018) Vol. 69, Iss. 12, pp. 2006-2020
Closed Access | Times Cited: 21
Estimation of the Pareto front in stochastic simulation through stochastic Kriging
Jianxia Zhang, Yizhong Ma, Taho Yang, et al.
Simulation Modelling Practice and Theory (2017) Vol. 79, pp. 69-86
Closed Access | Times Cited: 19
STOCHASTIC MULTIOBJECTIVE OPTIMIZATION ON A BUDGET: APPLICATION TO MULTIPASS WIRE DRAWING WITH QUANTIFIED UNCERTAINTIES
Piyush Pandita, Ilias Bilionis, Jitesh H. Panchal, et al.
International Journal for Uncertainty Quantification (2018) Vol. 8, Iss. 3, pp. 233-249
Open Access | Times Cited: 19
Reliability-enhanced surrogate-assisted particle swarm optimization for feature selection and hyperparameter optimization in landslide displacement prediction
Yi Wang, Kanqi Wang, Maosheng Zhang, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 5, pp. 5417-5447
Open Access | Times Cited: 6
Optimal sizing of Solar Home Systems: Charge controller technology and its influence on system design
Fabian Schmid, Frank Behrendt
Sustainable Energy Technologies and Assessments (2021) Vol. 45, pp. 101198-101198
Closed Access | Times Cited: 13
On the estimation of Pareto fronts from the point of view of copula theory
Mickaël Binois, Didier Rullière, Olivier Roustant
Information Sciences (2015) Vol. 324, pp. 270-285
Open Access | Times Cited: 15
Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions
David Gaudrie, Rodolphe Le Riche, Victor Picheny, et al.
Annals of Mathematics and Artificial Intelligence (2019) Vol. 88, Iss. 1-3, pp. 187-212
Open Access | Times Cited: 14
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