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Cited by

• 2012Meta-models for Structural Reliability and Uncertainty Quantification181 cited
• 2012A new adaptive response surface method for reliability analysis178 cited
• 2021Modeling, analysis, and optimization under uncertainties: a review166 cited
• 2015A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications163 cited
• 2016Quantile-based optimization under uncertainties using adaptive Kriging surrogate models139 cited
• 2015Metamodel-Based Sensitivity Analysis: Polynomial Chaos Expansions and Gaussian Processes126 cited
• 2018Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits121 cited
• 2016Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions120 cited
• 2014Computing derivative-based global sensitivity measures using polynomial chaos expansions116 cited
• 2016A robust and efficient stepwise regression method for building sparse polynomial chaos expansions114 cited
• 2016Global sensitivity analysis using low-rank tensor approximations95 cited
• 2014Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling93 cited
• 2013Metamodelling with independent and dependent inputs