World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8669
World Ranking
7539
National Ranking
990

Rui Wang 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 Rui Wang 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+

This scientist: 177 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Rui Wang 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 Rui Wang 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+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Rui Wang is affiliated with Zhejiang University in China and has contributed extensively to research in computer science and engineering. Their work spans multiple subfields, particularly in computer vision and pattern recognition, computer graphics and computer-aided design, computational mechanics, cognitive neuroscience, and electrical and electronic engineering.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Their research interests are reflected in key topics such as:

  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Image Enhancement Techniques
  • Computational Geometry and Mesh Generation
  • Advanced Optical Imaging Technologies
  • Advanced Numerical Analysis Techniques

Rui Wang has published in several prominent venues, demonstrating contributions across a range of journals and conferences. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • IEEE Transactions on Visualization and Computer Graphics
  • Journal of Computing and Information Science in Engineering
  • Computer Graphics Forum

Selected recent papers highlight their work:

  • "Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning," 2020, ACM Transactions on Graphics
  • "Improved Cost Computation and Adaptive Shape Guided Filter for Local Stereo Matching of Low Texture Stereo Images," 2020, Applied Sciences
  • "A Compact Representation of Measured BRDFs Using Neural Processes," 2021, ACM Transactions on Graphics
  • "Color Contrast Enhanced Rendering for Optical See-Through Head-Mounted Displays," 2021, IEEE Transactions on Visualization and Computer Graphics
  • "DeepNetQoE: Self-Adaptive QoE Optimization Framework of Deep Networks," 2021, IEEE Network

Collaboration is a notable aspect of Rui Wang's research activity. Frequent co-authors include:

  • Yuchi Huo
  • Hujun Bao
  • Yifan Peng
  • Wei Hua
  • Chuankun Zheng

Best Publications

  • Real-time KD-tree construction on graphics hardware

    Kun Zhou;Qiming Hou;Rui Wang;Baining Guo

  • Side-Channel Leaks in Web Applications: A Reality Today, a Challenge Tomorrow

    Shuo Chen;Rui Wang;XiaoFeng Wang;Kehuan Zhang

  • Cas12aVDet: A CRISPR/Cas12a-Based Platform for Rapid and Visual Nucleic Acid Detection.

    Bei Wang;Rui Wang;Daqi Wang;Jian Wu

  • Signing Me onto Your Accounts through Facebook and Google: A Traffic-Guided Security Study of Commercially Deployed Single-Sign-On Web Services

    Rui Wang;Shuo Chen;XiaoFeng Wang

  • Learning your identity and disease from research papers: information leaks in genome wide association study

    Rui Wang;Yong Fuga Li;XiaoFeng Wang;Haixu Tang

  • Multiresolution Tree Networks for 3D Point Cloud Processing

    Matheus Gadelha;Rui Wang;Subhransu Maji

  • 3D Shape Induction from 2D Views of Multiple Objects

    Matheus Gadelha;Subhransu Maji;Rui Wang

  • Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models

    Rui Wang;Filiz Bunyak;Guna Seetharaman;Kannappan Palaniappan

  • Interactive time-dependent tone mapping using programmable graphics hardware

    Nolan Goodnight;Rui Wang;Cliff Woolley;Greg Humphreys

  • 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks

    Zhaoliang Lun;Matheus Gadelha;Evangelos Kalogerakis;Subhransu Maji

  • Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth

    Rui Wang;Stephen M. Pizer;Jan-Michael Frahm

  • Real-time soft shadows in dynamic scenes using spherical harmonic exponentiation

    Zhong Ren;Rui Wang;John Snyder;Kun Zhou

  • Upgrading Your Android, Elevating My Malware: Privilege Escalation through Mobile OS Updating

    Luyi Xing;Xiaorui Pan;Rui Wang;Kan Yuan

  • An efficient GPU-based approach for interactive global illumination

    Rui Wang;Kun Zhou;Minghao Pan;Hujun Bao

  • How to Shop for Free Online -- Security Analysis of Cashier-as-a-Service Based Web Stores

    Rui Wang;Shuo Chen;XiaoFeng Wang;Shaz Qadeer

  • Brahmastra: driving apps to test the security of third-party components

    Ravi Bhoraskar;Seungyeop Han;Jinseong Jeon;Tanzirul Azim

  • Parallel Poisson disk sampling with spectrum analysis on surfaces

    John Bowers;Rui Wang;Li-Yi Wei;David Maletz

  • A Deeper Look at 3D Shape Classifiers

    Jong-Chyi Su;Matheus Gadelha;Rui Wang;Subhransu Maji

  • All-frequency interactive relighting of translucent objects with single and multiple scattering

    Rui Wang;John Tran;David Luebke

  • Unauthorized origin crossing on mobile platforms: threats and mitigation

    Rui Wang;Luyi Xing;XiaoFeng Wang;Shuo Chen

  • Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth

    Rui Wang;Stephen M. Pizer;Jan-Michael Frahm

Frequent Co-Authors

Hujun Bao
Hujun Bao Zhejiang University
Subhransu Maji
Subhransu Maji University of Massachusetts Amherst
Stephen M. Pizer
Stephen M. Pizer University of North Carolina at Chapel Hill
Jan-Michael Frahm
Jan-Michael Frahm University of North Carolina at Chapel Hill
Xiaofeng Wang
Xiaofeng Wang Free University of Bozen-Bolzano
Kun Zhou
Kun Zhou Zhejiang University
Evangelos Kalogerakis
Evangelos Kalogerakis Technical University of Crete
Shaz Qadeer
Shaz Qadeer Microsoft (United States)
David Luebke
David Luebke Nvidia (United States)
Qunsheng Peng
Qunsheng Peng Zhejiang University

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