Cited by

• 2019Classification correction of polynomial response surface methods for accurate reliability estimation61 cited
• 2020Highly efficient Bayesian updating using metamodels: An adaptive Kriging-based approach53 cited
• 2019Reliability-Based Low Fatigue Life Analysis of Turbine Blisk with Generalized Regression Extreme Neural Network Method41 cited
• 2021Adaptive reliability analysis for multi-fidelity models using a collective learning strategy39 cited
• 2020Error Quantification and Control for Adaptive Kriging-Based Reliability Updating with Equality Information38 cited
• 2024An active learning method using deep adversarial autoencoder-based sufficient dimension reduction neural network for high-dimensional reliability analysis32 cited
• 2020Unified reliability assessment for problems with low- to high-dimensional random inputs using the Laplace transform and a mixture distribution30 cited
• 2025A new probabilistic transformation technique for evidence-theory-based structural reliability analysis28 cited
• 2018Refined first-order reliability method using cross-entropy optimization method27 cited
• 2021Metamodel-based subset simulation adaptable to target computational capacities: the case for high-dimensional and rare event reliability analysis27 cited
• 2023CSP-free adaptive Kriging surrogate model method for reliability analysis with small failure probability26 cited
• 2020Reliability analysis using a multi-metamodel complement-basis approach26 cited
• 2019Creep-Based Reliability Evaluation of Turbine Blade-Tip Clearance with Novel Neural Network Regression23 cited
• 2020Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging22 cited
• 2021A quantile-based sequential approach to reliability-based design optimization via error-controlled adaptive Kriging with independent constraint boundary sampling21 cited
• 2023An error-based stopping criterion for spherical decomposition-based adaptive Kriging model and rare event estimation20 cited