World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
26610
World Ranking
1255
National Ranking
669

Tsuhan Chen 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 Tsuhan Chen 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: 450 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Tsuhan Chen 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 Tsuhan Chen 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Tsuhan Chen is affiliated with Cornell University in the United States, with a research profile spanning computer science and medicine. Their work focuses on interdisciplinary applications of artificial intelligence, health-related studies, and social impacts of technology. Chen's research contributions are distributed across several fields and subfields, reflecting a diverse academic presence.

The main fields of study for Chen include:

  • Computer Science
  • Medicine

Within these areas, Chen has specialized in subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Sociology and Political Science
  • Pulmonary and Respiratory Medicine
  • Epidemiology

Chen's research topics cover both technical and societal dimensions, with particular attention to:

  • Anomaly Detection Techniques and Applications
  • Misinformation and Its Impacts
  • Media Influence and Politics
  • Hate Speech and Cyberbullying Detection
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Genetic Associations and Epidemiology
  • Liver Disease Diagnosis and Treatment

Chen has produced multiple recent publications across a variety of reputable venues. Selected papers include:

  • "Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy," 2024, published in Digital Government Research and Practice
  • "Mendelian randomisation studies for causal inference in chronic obstructive pulmonary disease: A narrative review," 2025, published in Pulmonology
  • "Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside," 2023, published in Annals of the Academy of Medicine Singapore
  • "Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee," 2023, published in IEEE Signal Processing Magazine
  • "MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift," 2024, published in Proceedings of the AAAI Conference on Artificial Intelligence

Chen frequently collaborates with other researchers, notably with:

  • Dexter Neo
  • Simon Chesterman
  • Stefan Winkler
  • Lv Zhou
  • Ling Huang

The primary venues in which Chen's work appears include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Digital Government Research and Practice
  • Pulmonology
  • Annals of the Academy of Medicine Singapore

Best Publications

  • Recent advances in convolutional neural networks

    Jiuxiang Gu;Zhenhua Wang;Jason Kuen;Lianyang Ma

  • iCoseg: Interactive co-segmentation with intelligent scribble guidance

    Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo

  • Efficient feature extraction for 2D/3D objects in mesh representation

    Cha Zhang;Tsuhan Chen

  • The painful face - Pain expression recognition using active appearance models

    Ahmed Bilal Ashraf;Simon Lucey;Jeffrey F. Cohn;Tsuhan Chen

  • Understanding images of groups of people

    Andrew C Gallagher;Tsuhan Chen

  • Audio-visual integration in multimodal communication

    Tsuhan Chen;R.R. Rao

  • Video-based face recognition using adaptive hidden Markov models

    Xiaoming Liu;Tsuhan Cheng

  • Multiview Imaging and 3DTV

    Akira Kubota;Aljoscha Smolic;Marcus Magnor;Masayuki Tanimoto

  • Image retrieval with geometry-preserving visual phrases

    Yimeng Zhang;Zhaoyin Jia;Tsuhan Chen

  • Aesthetic Visual Quality Assessment of Paintings

    Congcong Li;Tsuhan Chen

  • Audio Feature Extraction and Analysis for Scene Segmentation and Classification

    Zhu Liu;Yao Wang;Tsuhan Chen

  • Audiovisual speech processing

    Tsuhan Chen

  • Clothing cosegmentation for recognizing people

    A.C. Gallagher;Tsuhan Chen

  • Towards computational models of kinship verification

    Ruogu Fang;Kevin D. Tang;Noah Snavely;Tsuhan Chen

  • A survey on image-based rendering—representation, sampling and compression

    Cha Zhang;Tsuhan Chen

  • An active learning framework for content-based information retrieval

    Cha Zhang;Tsuhan Chen

  • Biometrics-based cryptographic key generation

    Yao-Jen Chang;Wende Zhang;Tsuhan Chen

  • A mixed bag of emotions: Model, predict, and transfer emotion distributions

    Kuan-Chuan Peng;Tsuhan Chen;Amir Sadovnik;Andrew Gallagher

  • Recent Advances in Convolutional Neural Networks

    Jiuxiang Gu;Zhenhua Wang;Jason Kuen;Lianyang Ma

  • Stack-captioning: coarse-to-fine learning for image captioning

    Jiuxiang Gu;Jianfei Cai;Gang Wang;Tsuhan Chen

  • Video conference system and method of providing parallax correction and a sense of presence

    Russell Lennart Andersson;Tsuhan Chen;Barin Geoffry Haskell

  • Pose invariant face recognition

    Fu Jie Huang;Zhihua Zhou;Hong-Jiang Zhang;Tsuhan Chen

Frequent Co-Authors

Andrew C. Gallagher
Andrew C. Gallagher Google (United States)
Devi Parikh
Devi Parikh Facebook (United States)
Cha Zhang
Cha Zhang Microsoft (United States)
Toshihiko Yamasaki
Toshihiko Yamasaki University of Tokyo
Simon Lucey
Simon Lucey University of Adelaide
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Xiaoming Liu
Xiaoming Liu University of North Carolina at Chapel Hill
Jiebo Luo
Jiebo Luo University of Rochester
Ashutosh Saxena
Ashutosh Saxena Cornell University
Rob A. Rutenbar
Rob A. Rutenbar University of Pittsburgh

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