International Journal for Uncertainty Quantification

Papers
(The TQCC of International Journal for Uncertainty Quantification is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
COMPUTATIONAL CHALLENGES IN SAMPLING AND REPRESENTATION OF UNCERTAIN REACTION KINETICS IN LARGE DIMENSIONS36
INDEX, VOLUME 15, 202530
27
BAYESIAN3 ACTIVE LEARNING FOR REGULARIZED ARBITRARY MULTIELEMENT POLYNOMIAL CHAOS USING INFORMATION THEORY16
CONTROL VARIATE POLYNOMIAL CHAOS: OPTIMAL FUSION OF SAMPLING AND SURROGATES FOR MULTIFIDELITY UNCERTAINTY QUANTIFICATION12
SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISON OF INDICES FOR THE LINEAR CASE12
A NOVEL PROBABILISTIC TRANSFER LEARNING STRATEGY FOR POLYNOMIAL REGRESSION8
MAJORIZATION AS A THEORY FOR UNCERTAINTY7
COVARIANCE ESTIMATION USING h-STATISTICS IN MONTE CARLO AND MULTILEVEL MONTE CARLO METHODS7
7
UNCERTAINTY QUANTIFICATION FOR DEEP LEARNING-BASED SCHEMES FOR SOLVING HIGH-DIMENSIONAL BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS7
6
6
SENSITIVITY ANALYSES OF A MULTIPHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS6
6
Lp CONVERGENCE OF APPROXIMATE MAPS AND PROBABILITY DENSITIES FOR FORWARD AND INVERSE PROBLEMS IN UNCERTAINTY QUANTIFICATION5
STRUCTURE-PRESERVING MODEL ORDER REDUCTION OF RANDOM PARAMETRIC LINEAR SYSTEMS VIA REGRESSION5
5
5
5
BAYESIAN PARAMETER INFERENCE FOR PARTIALLY OBSERVED DIFFUSIONS USING MULTILEVEL STOCHASTIC RUNGE-KUTTA METHODS4
INDEX4
CLUSTERING BASED MULTIPLE ANCHORS HIGH-DIMENSIONAL MODEL REPRESENTATION4
4
A FULLY BAYESIAN GRADIENT-FREE SUPERVISED DIMENSION REDUCTION METHOD USING GAUSSIAN PROCESSES4
PARALLEL PARTIAL EMULATION IN APPLICATIONS4
MEASURING INPUTS-OUTPUTS ASSOCIATION FOR TIME-DEPENDENT HAZARD MODELS UNDER SAFETY OBJECTIVES USING KERNELS4
IMPROVING ACCURACY AND COMPUTATIONAL EFFICIENCY OF OPTIMAL DESIGN OF EXPERIMENTS VIA GREEDY BACKWARD APPROACH3
3
EFFICIENT CALIBRATION FOR HIGH-DIMENSIONAL COMPUTER MODEL OUTPUT USING BASIS METHODS3
LONG SHORT-TERM RELEVANCE LEARNING3
Efficient shape and topology optimization for random exterior Bernoulli free boundary problems based on the multimodes Monte Carlo method3
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS3
GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCARÉ CHAOS EXPANSIONS3
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING3
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