International Journal for Uncertainty Quantification

Papers
(The TQCC of International Journal for Uncertainty Quantification is 2. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
INDEX, VOLUME 15, 202528
SENSITIVITY ANALYSIS WITH CORRELATED INPUTS: COMPARISON OF INDICES FOR THE LINEAR CASE8
8
A NOVEL PROBABILISTIC TRANSFER LEARNING STRATEGY FOR POLYNOMIAL REGRESSION7
CONTROL VARIATE POLYNOMIAL CHAOS: OPTIMAL FUSION OF SAMPLING AND SURROGATES FOR MULTIFIDELITY UNCERTAINTY QUANTIFICATION7
UNCERTAINTY QUANTIFICATION FOR DEEP LEARNING-BASED SCHEMES FOR SOLVING HIGH-DIMENSIONAL BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS7
BAYESIAN3 ACTIVE LEARNING FOR REGULARIZED ARBITRARY MULTIELEMENT POLYNOMIAL CHAOS USING INFORMATION THEORY7
6
6
COVARIANCE ESTIMATION USING h-STATISTICS IN MONTE CARLO AND MULTILEVEL MONTE CARLO METHODS6
6
STRUCTURE-PRESERVING MODEL ORDER REDUCTION OF RANDOM PARAMETRIC LINEAR SYSTEMS VIA REGRESSION5
STATISTICAL ANALYSIS OF A COMPLEX PLASMA SYSTEM FROM A SMALL NUMBER OF SIMULATIONS5
SENSITIVITY ANALYSES OF A MULTIPHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS5
CLUSTERING BASED MULTIPLE ANCHORS HIGH-DIMENSIONAL MODEL REPRESENTATION4
4
INDEX4
4
MEASURING INPUTS-OUTPUTS ASSOCIATION FOR TIME-DEPENDENT HAZARD MODELS UNDER SAFETY OBJECTIVES USING KERNELS4
4
3
GLOBAL SENSITIVITY ANALYSIS USING DERIVATIVE-BASED SPARSE POINCARÉ CHAOS EXPANSIONS3
3
BAYESIAN PARAMETER INFERENCE FOR PARTIALLY OBSERVED DIFFUSIONS USING MULTILEVEL STOCHASTIC RUNGE-KUTTA METHODS3
EFFICIENT SHAPE AND TOPOLOGY OPTIMIZATION FOR RANDOM EXTERIOR BERNOULLI FREE BOUNDARY PROBLEMS BASED ON THE MULTIMODES MONTE CARLO METHOD3
LONG SHORT-TERM RELEVANCE LEARNING3
IMPROVING ACCURACY AND COMPUTATIONAL EFFICIENCY OF OPTIMAL DESIGN OF EXPERIMENTS VIA GREEDY BACKWARD APPROACH3
AN ADAPTIVE STRATEGY FOR SEQUENTIAL DESIGNS OF MULTILEVEL COMPUTER EXPERIMENTS2
QUANTIFICATION AND PROPAGATION OF MODEL-FORM UNCERTAINTIES IN RANS TURBULENCE MODELING VIA INTRUSIVE POLYNOMIAL CHAOS2
PARALLEL PARTIAL EMULATION IN APPLICATIONS2
SHAPLEY EFFECT ESTIMATION IN RELIABILITY-ORIENTED SENSITIVITY ANALYSIS WITH CORRELATED INPUTS BY IMPORTANCE SAMPLING2
2
A DOMAIN-DECOMPOSED VAE METHOD FOR BAYESIAN INVERSE PROBLEMS2
LIKELIHOOD AND DEPTH-BASED CRITERIA FOR COMPARING SIMULATION RESULTS WITH EXPERIMENTAL DATA, IN SUPPORT OF VALIDATION OF NUMERICAL SIMULATORS2
2
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING2
MAXIMUM ENTROPY UNCERTAINTY MODELING AT THE FINITE ELEMENT LEVEL FOR HEATED STRUCTURES2
A GENERALIZED LIKELIHOOD-WEIGHTED OPTIMAL SAMPLING ALGORITHM FOR RARE-EVENT PROBABILITY QUANTIFICATION2
UNBIASED ESTIMATION OF THE VANILLA AND DETERMINISTIC ENSEMBLE KALMAN-BUCY FILTERS2
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS2
PREFACE: RECENT ADVANCES IN GLOBAL SENSITIVITY ANALYSIS2
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