World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9161
World Ranking
6826
National Ranking
3002

Duen Horng Chau 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 Duen Horng Chau 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: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Duen Horng Chau 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 Duen Horng Chau 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Duen Horng Chau is affiliated with the Georgia Institute of Technology in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing, and Statistical and Nonlinear Physics.

The scientist's research spans multiple main topics such as Adversarial Robustness in Machine Learning, Data Visualization and Analytics, Explainable Artificial Intelligence (XAI), Anomaly Detection Techniques and Applications, Topic Modeling, Advanced Neural Network Applications, and Natural Language Processing Techniques.

Recent papers authored by Duen Horng Chau include:

  • CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Graph Vulnerability and Robustness: A Survey, 2022, IEEE Transactions on Knowledge and Data Engineering
  • A Survey of Human-Centered Evaluations in Human-Centered Machine Learning, 2021, Computer Graphics Forum
  • Communicating with Interactive Articles, 2020, Distill
  • The Role of Interactive Visualization in Fostering Trust in AI, 2021, IEEE Computer Graphics and Applications

Their frequent coauthors include Zijie J. Wang, Nilaksh Das, Haekyu Park, Seongmin Lee, and Shengyun Peng. These collaborations highlight a sustained research partnership across various projects.

Duen Horng Chau's work has been published in diverse venues, with the highest number of publications appearing in arXiv (Cornell University). Other significant venues include Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, and IEEE Transactions on Knowledge and Data Engineering.

Best Publications

  • Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers

    Fred Hohman;Minsuk Kahng;Robert Pienta;Duen Horng Chau

  • Netprobe: a fast and scalable system for fraud detection in online auction networks

    Shashank Pandit;Duen Horng Chau;Samuel Wang;Christos Faloutsos

  • ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

    Shang-Tse Chen;Cory Cornelius;Jason Martin;Duen Horng (Polo) Chau

  • Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

    Nilaksh Das;Madhuri Shanbhogue;Shang-Tse Chen;Fred Hohman

  • Apolo: making sense of large network data by combining rich user interaction and machine learning

    Duen Horng Chau;Aniket Kittur;Jason I. Hong;Christos Faloutsos

  • A Linguistic Analysis of How People Describe Software Problems

    A.J. Ko;B.A. Myers;Duen Horng Chau

  • Detecting fraudulent personalities in networks of online auctioneers

    Duen Horng Chau;Shashank Pandit;Christos Faloutsos

  • Parallel crawling for online social networks

    Duen Horng Chau;Shashank Pandit;Samuel Wang;Christos Faloutsos

  • SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

    Nilaksh Das;Madhuri Shanbhogue;Shang-Tse Chen;Fred Hohman

  • GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation

    Minsuk Kahng;Nikhil Thorat;Duen Horng Polo Chau;Fernanda B. Viegas

  • FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning

    Angel Alexander Cabrera;Will Epperson;Fred Hohman;Minsuk Kahng

  • Guilt by association: large scale malware detection by mining file-relation graphs

    Acar Tamersoy;Kevin Roundy;Duen Horng Chau

  • Detecting insider threats in a real corporate database of computer usage activity

    Ted E. Senator;Henry G. Goldberg;Alex Memory;William T. Young

  • On the Vulnerability of Large Graphs

    Hanghang Tong;B. Aditya Prakash;Charalampos Tsourakakis;Tina Eliassi-Rad

  • Answering why and why not questions in user interfaces

    Brad A. Myers;David A. Weitzman;Amy J. Ko;Duen H. Chau

  • What to do when search fails: finding information by association

    Duen Horng Chau;Brad Myers;Andrew Faulring

  • Unifying guilt-by-association approaches: theorems and fast algorithms

    Danai Koutra;Tai-You Ke;U. Kang;Duen Horng Polo Chau

  • Huddle: automatically generating interfaces for systems of multiple connected appliances

    Jeffrey Nichols;Brandon Rothrock;Duen Horng Chau;Brad A. Myers

  • Eyes on the road, hands on the wheel: thumb-based interaction techniques for input on steering wheels

    Iván E. González;Jacob O. Wobbrock;Duen Horng Chau;Andrew Faulring

  • Node Immunization on Large Graphs: Theory and Algorithms

    Chen Chen;Hanghang Tong;B. Aditya Prakash;Charalampos E. Tsourakakis

  • ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

    Minsuk Kahng;Pierre Y. Andrews;Aditya Kalro;Duen Horng Chau

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Jilles Vreeken
Jilles Vreeken Max Planck Society
U Kang
U Kang Seoul National University
Shamkant B. Navathe
Shamkant B. Navathe Georgia Institute of Technology
Leman Akoglu
Leman Akoglu Carnegie Mellon University
Diyi Yang
Diyi Yang Stanford University
John Stasko
John Stasko Georgia Institute of Technology
Jacob O. Wobbrock
Jacob O. Wobbrock University of Washington

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