2026 Hongquan Xu: Computer Science Researcher – H-Index, Publications & Awards

Overview

Hongquan Xu is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple disciplines, primarily focusing on areas within computer science, decision sciences, and engineering.

Their main fields of study include:

Computer Science
Decision Sciences
Engineering

Within these fields, Xu works extensively in several subfields, such as:

Computational Theory and Mathematics
Management Science and Operations Research
Biomedical Engineering
Electrical and Electronic Engineering
Statistics, Probability and Uncertainty

Their research covers key topics including:

Optimal Experimental Design Methods
Advanced Multi-Objective Optimization Algorithms
Nanopore and Nanochannel Transport Studies
Probabilistic and Robust Engineering Design
Fuel Cells and Related Materials
Electrostatics and Colloid Interactions
Viral Infectious Diseases and Gene Expression in Insects

Recent papers by Hongquan Xu demonstrate a focus on nanotechnology, biosensing, and experimental design methodologies. These include:

Towards explicit regulating-ion-transport: nanochannels with only function-elements at outer-surface (2021) published in Nature Communications
Regional and functional division of functional elements of solid-state nanochannels for enhanced sensitivity and specificity of biosensing in complex matrices (2021) published in Nature Protocols
A Component-Position Model, Analysis and Design for Order-of-Addition Experiments (2020) published in Technometrics
On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments (2020) published in Journal of the American Statistical Association
Orthogonal subsampling for big data linear regression (2021) published in The Annals of Applied Statistics

Hongquan Xu frequently publishes in several venues including:

Analytical Chemistry
Journal of the American Statistical Association
Statistica Sinica
Advanced Therapeutics
Journal of the Royal Statistical Society Series B (Statistical Methodology)

Collaborations have been a prominent part of Xu's research activities. Frequent coauthors include:

Pengcheng Gao
Fan Xia
Qun Ma
Qiujiao Du
Weng Kee Wong

Best Publications

Generalized minimum aberration for asymmetrical fractional factorial designs

Hongquan Xu;C. F. J. Wu

374
Citations
Minimum moment aberration for nonregular designs and supersaturated designs

Hongquan Xu

181
Citations
An Algorithm for Constructing Orthogonal and Nearly Orthogonal Arrays with Mixed Levels and Small Runs

Hongquan Xu

155
Citations
Analysis of supersaturated designs via the Dantzig selector

Frederick K.H. Phoa;Yu-Hui Pan;Hongquan Xu

115
Citations
Recent developments in nonregular fractional factorial designs

Hongquan Xu;Frederick K. H. Phoa;Weng Kee Wong

95
Citations
Application of fractional factorial designs to study drug combinations

Jessica Jaynes;Xianting Ding;Hongquan Xu;Weng Kee Wong

90
Citations
Construction of optimal multi-level supersaturated designs

Hongquan Xu;C. F. J. Wu

90
Citations
A catalogue of three-level regular fractional factorial designs

Hongquan Xu

88
Citations
Optimal Projective Three-Level Designs for Factor Screening and Interaction Detection

Hongquan Xu;Shao-Wei Cheng;C.F.J Wu

87
Citations
A system of high-dimensional, efficient, long-cycle and portable uniform random number generators

Lih-Yuan Deng;Hongquan Xu

86
Citations
Uniform fractional factorial designs

Yu Tang;Hongquan Xu;Dennis K. J. Lin

78
Citations
Space-Filling Fractional Factorial Designs

Yong-Dao Zhou;Hongquan Xu

77
Citations
Algorithmic Construction of Efficient Fractional Factorial Designs With Large Run Sizes

Hongquan Xu

69
Citations
Moment aberration projection for nonregular fractional factorial designs

Hongquan Xu;Lih-Yuan Deng

60
Citations
Uniform projection designs

Fasheng Sun;Yaping Wang;Hongquan Xu

49
Citations
COMBINING TWO-LEVEL AND THREE-LEVEL ORTHOGONAL ARRAYS FOR FACTOR SCREENING AND RESPONSE SURFACE EXPLORATION

Hongquan Xu;Jessica Jaynes;Xianting Ding

46
Citations
Space-filling properties of good lattice point sets

Yongdao Zhou;Hongquan Xu

45
Citations
Optimal maximin $L_{1}$-distance Latin hypercube designs based on good lattice point designs

Lin Wang;Qian Xiao;Hongquan Xu

41
Citations
An effective construction method for multi-level uniform designs

Yu Tang;Hongquan Xu

39
Citations
Permuting regular fractional factorial designs for screening quantitative factors

Yu Tang;Hongquan Xu

34
Citations