World's Best Scientists 2026 revealed!

Hongquan Xu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hongquan Xu sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

The last bar groups every scientist with 991 publications or more.

Hongquan Xu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hongquan Xu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

The last bar groups every scientist with 131 D-Index or more.

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

  • Minimum moment aberration for nonregular designs and supersaturated designs

    Hongquan Xu

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

    Hongquan Xu

  • Analysis of supersaturated designs via the Dantzig selector

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

  • Recent developments in nonregular fractional factorial designs

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

  • Application of fractional factorial designs to study drug combinations

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

  • Construction of optimal multi-level supersaturated designs

    Hongquan Xu;C. F. J. Wu

  • A catalogue of three-level regular fractional factorial designs

    Hongquan Xu

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

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

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

    Lih-Yuan Deng;Hongquan Xu

  • Uniform fractional factorial designs

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

  • Space-Filling Fractional Factorial Designs

    Yong-Dao Zhou;Hongquan Xu

  • Algorithmic Construction of Efficient Fractional Factorial Designs With Large Run Sizes

    Hongquan Xu

  • Moment aberration projection for nonregular fractional factorial designs

    Hongquan Xu;Lih-Yuan Deng

  • Uniform projection designs

    Fasheng Sun;Yaping Wang;Hongquan Xu

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

    Hongquan Xu;Jessica Jaynes;Xianting Ding

  • Space-filling properties of good lattice point sets

    Yongdao Zhou;Hongquan Xu

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

    Lin Wang;Qian Xiao;Hongquan Xu

  • An effective construction method for multi-level uniform designs

    Yu Tang;Hongquan Xu

  • Permuting regular fractional factorial designs for screening quantitative factors

    Yu Tang;Hongquan Xu

Frequent Co-Authors

Steven Shoptaw
Steven Shoptaw University of California, Los Angeles
Rahul Mukerjee
Rahul Mukerjee Indian Institute of Management Calcutta
Ching-Shui Cheng
Ching-Shui Cheng University of California, Berkeley
Dennis K. J. Lin
Dennis K. J. Lin Purdue University West Lafayette
Ren Sun
Ren Sun University of California, Los Angeles
Arjan W. Griffioen
Arjan W. Griffioen University of Amsterdam

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