2026 Zhenzhou Lu: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	39	7724	7453	1380	1373	204	5824

Overview

Zhenzhou Lu is affiliated with Northwestern Polytechnical University in China. Their research spans multiple fields within engineering and decision sciences, focusing extensively on probabilistic and robust engineering design, multi-objective optimization algorithms, and structural health monitoring techniques.

The scientist's main fields of study include:

Engineering
Decision Sciences

Within these areas, their subfields of focus are:

Statistics, Probability and Uncertainty
Civil and Structural Engineering
Computational Theory and Mathematics
Management Science and Operations Research
Control and Systems Engineering

Key topics addressed in their work feature:

Probabilistic and Robust Engineering Design
Advanced Multi-Objective Optimization Algorithms
Optimal Experimental Design Methods
Structural Health Monitoring Techniques
Structural Response to Dynamic Loads
Fatigue and Fracture Mechanics
Reliability and Maintenance Optimization

Zhenzhou Lu has published extensively in journals and conferences, with frequent contributions to:

Engineering Optimization
Reliability Engineering & System Safety
Structural and Multidisciplinary Optimization
Mechanical Systems and Signal Processing
Vehicular Communications

Recent papers illustrate the range and depth of their research interests:

"Surrogate-assisted global sensitivity analysis: an overview" (2020) published in Structural and Multidisciplinary Optimization
"Active sparse polynomial chaos expansion for system reliability analysis" (2020) published in Reliability Engineering & System Safety
"An enhanced Kriging surrogate modeling technique for high-dimensional problems" (2020) published in Mechanical Systems and Signal Processing
"Active learning Bayesian support vector regression model for global approximation" (2020) published in Information Sciences
"A single-loop Kriging surrogate model method by considering the first failure instant for time-dependent reliability analysis and safety lifetime analysis" (2020) published in Mechanical Systems and Signal Processing

Collaborations have been an important aspect of their work. Frequent co-authors include:

Kaixuan Feng
Wanying Yun
Kai Cheng
Chunyan Ling
Yicheng Zhou

Best Publications

Variable importance analysis: A comprehensive review

Unknown

653
Citations
Reliability sensitivity method by line sampling

Zhenzhou Lu;Shufang Song;Zhufeng Yue;Jian Wang

222
Citations
Efficient sampling methods for global reliability sensitivity analysis

Unknown

189
Citations
Nataf transformation based point estimate method

Unknown

178
Citations
Moment-independent importance measure of basic random variable and its probability density evolution solution

Unknown

147
Citations
Surrogate-assisted global sensitivity analysis: an overview

Kai Cheng;Zhenzhou Lu;Chunyan Ling;Suting Zhou

146
Citations
Global sensitivity analysis using support vector regression

Kai Cheng;Zhenzhou Lu;Yicheng Zhou;Yan Shi

136
Citations
Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression

Kai Cheng;Zhenzhou Lu

133
Citations
An application of the Kriging method in global sensitivity analysis with parameter uncertainty

Unknown

129
Citations
Monte Carlo simulation for moment-independent sensitivity analysis

Unknown

125
Citations
Structural reliability analysis based on ensemble learning of surrogate models

Kai Cheng;Zhenzhou Lu

124
Citations
Mixed kernel function support vector regression for global sensitivity analysis

Kai Cheng;Zhenzhou Lu;Yuhao Wei;Yan Shi

115
Citations
Temporal and spatial multi-parameter dynamic reliability and global reliability sensitivity analysis based on the extreme value moments

Yan Shi;Zhenzhou Lu;Kai Cheng;Yicheng Zhou

97
Citations
AK-ARBIS: An improved AK-MCS based on the adaptive radial-based importance sampling for small failure probability

Wanying Yun;Wanying Yun;Zhenzhou Lu;Xian Jiang;Leigang Zhang

95
Citations
Sparse polynomial chaos expansion based on D-MORPH regression

Kai Cheng;Zhenzhou Lu

94
Citations
An adaptive multiple-Kriging-surrogate method for time-dependent reliability analysis

Yan Shi;Zhenzhou Lu;Liyang Xu;Siyu Chen

90
Citations
An efficient method for moment-independent global sensitivity analysis by dimensional reduction technique and principle of maximum entropy

Wanying Yun;Zhenzhou Lu;Xian Jiang

87
Citations
An efficient reliability analysis method combining adaptive Kriging and modified importance sampling for small failure probability

Wanying Yun;Zhenzhou Lu;Xian Jiang

84
Citations
New validation metrics for models with multiple correlated responses

Wei Li;Wei Li;Wei Chen;Zhen Jiang;Zhenzhou Lu

83
Citations
Aircraft Icing Severity Analysis Considering Three Uncertainty Types

Kaixuan Feng;Zhenzhou Lu;Wanying Yun

82
Citations
A novel learning function based on Kriging for reliability analysis

Yan Shi;Zhenzhou Lu;Ruyang He;Yicheng Zhou

80
Citations
A modified importance sampling method for structural reliability and its global reliability sensitivity analysis

Wanying Yun;Zhenzhou Lu;Xian Jiang

80
Citations
Structural reliability sensitivity analysis based on classification of model output

Sinan Xiao;Zhenzhou Lu

79
Citations
Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation

Pengfei Wei;Pengfei Wei;Jingwen Song;Jingwen Song;Sifeng Bi;Matteo Broggi

78
Citations
A non-probabilistic robust reliability method for analysis and design optimization of structures with uncertain-but-bounded parameters

Shu-Xiang Guo;Zhen-Zhou Lu

75
Citations
Reliability analysis for low cycle fatigue life of the aeronautical engine turbine disc structure under random environment

C.L. Liu;Z.Z. Lu;Y.L. Xu;Z.F. Yue

75
Citations
Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis

Pengfei Wei;Pengfei Wei;Jingwen Song;Jingwen Song;Sifeng Bi;Matteo Broggi

73
Citations
Adaptive Bayesian support vector regression model for structural reliability analysis

Kai Cheng;Zhenzhou Lu

72
Citations
Active learning Bayesian support vector regression model for global approximation

Unknown

72
Citations
Active sparse polynomial chaos expansion for system reliability analysis

Yicheng Zhou;Zhenzhou Lu;Wanying Yun

68
Citations