ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part

Papers
(The H4-Index of ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part is 13. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Random Forest–Based Covariate Shift in Addressing Nonstationarity of Railway Track Data34
Climate Change Impact on Seismic Vulnerability of Aging Highway Bridges28
A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems24
Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform23
Sensitivity-Based Model Update for Estimating Generalized Proportional Damping Parameters in a Finite-Element Model22
Climate Adaptation Engineering: An Optimist’s View19
An Integrated Framework for Analyzing Risk Influence Factors of Inland Waterway Transport Based on Interpretive Structural Models and Bayesian Networks19
A Quasi-Binomial Regression Model for Hurricane-Induced Power Outages during Early Warning17
Reviewers16
Comprehensive Risk System Analysis and Factor Coupling in Underground Railway Space16
Reliability of Steel-Fiber Reinforced Polymer Strengthened Reinforced Concrete Bridge Columns15
Modeling Tree Damages and Infrastructure Disruptions under Strong Winds for Community Resilience Assessment14
Capturing Spatiotemporal Progression of Corrosion to Estimate Life-Cycle Seismic Resilience of RC Bridges14
Nondeterministic High-Cycle Fatigue Macromodel Updating and Failure Probability Analysis of Welded Joints of Long-Span Structures13
Multilevel Multiplicative Interval Uncertainty in Linear Structural Analysis13
Stochastic Analysis and Time-Dependent Reliability of Reinforced Concrete Beams Considering Spatially Distributed Corrosion Deterioration13
LUB: A Novel Adaptive Kriging Framework Incorporating Lower and Upper Bound Analysis for Enhanced Structural Reliability-Based Design Optimization13
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