World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3901
World Ranking
13228
National Ranking
5305

Peter Henry Tu 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 Peter Henry Tu 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Peter Henry Tu 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 Peter Henry Tu 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Peter Henry Tu is a researcher affiliated with General Electric in the United States, specializing in the field of Computer Science. Their work predominantly spans areas such as Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, Radiology, Nuclear Medicine and Imaging, and Computational Theory and Mathematics.

Their research topics cover a variety of advanced subjects, including:

  • Generative Adversarial Networks and Image Synthesis
  • Topic Modeling
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Artificial Intelligence in Healthcare and Education
  • Natural Language Processing Techniques
  • Speech and dialogue systems

Peter Henry Tu has contributed to academic literature in multiple venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Semantic Computing
  • Frontiers in Computer Science
  • AI Magazine

Recent papers authored or co-authored by Peter Henry Tu include:

  • "Emergent Languages from Pretrained Embeddings Characterize Latent Concepts in Dynamic Imagery" (2020) published in International Journal of Semantic Computing
  • "Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability" (2020) published on arXiv (Cornell University)
  • "Adversarial Purification with the Manifold Hypothesis" (2024) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages" (2020) published on arXiv (Cornell University)
  • "IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models" (2023) published on arXiv (Cornell University)

They have collaborated frequently with other researchers, including:

  • James Kubricht
  • Alberto Santamaría-Pang
  • Aritra Chowdhury
  • Zhaoyuan Yang
  • Richard Hartley

Peter Henry Tu has also contributed to academic books published by WORLD SCIENTIFIC (EUROPE) eBooks and The Open University. Notable titles include:

  • WORLD SCIENTIFIC (EUROPE) eBooks: "What is Artificial Intelligence?" (2020), "The Practical Philosophy of AI-Assistants" (2022)
  • The Open University: "Social Analysis and the COVID-19 Crisis: A Collective Journal" (2020), "What is artificial intelligence? a conversation between an AI engineer and a humanities researcher" (2020)

Best Publications

  • Shape and Appearance Context Modeling

    Xiaogang Wang;G. Doretto;T. Sebastian;J. Rittscher

  • Appearance-based person reidentification in camera networks: problem overview and current approaches

    Gianfranco Doretto;Thomas Sebastian;Peter H. Tu;Jens Rittscher

  • Simultaneous estimation of segmentation and shape

    J. Rittscher;P.H. Tu;N. Krahnstoever

  • Surveillance systems and methods

    Timothy Patrick Kelliher;Jens Rittscher;Peter Henry Tu;Kevin Chean

  • Detecting and counting people in surveillance applications

    X. Liu;P.H. Tu;J. Rittscher;A. Perera

  • System and method for protocol adherence

    Christopher Donald Johnson;Peter Henry Tu;Piero Patrone Bonissone;John Michael Lizzi

  • Learning person-specific models for facial expression and action unit recognition

    Jixu Chen;Xiaoming Liu;Peter Tu;Amy Aragones

  • Unified Crowd Segmentation

    Peter H. Tu;Thomas Sebastian;Gianfranco Doretto;Nils Krahnstoever

  • A novel method of automated skull registration for forensic facial approximation.

    W.D. Turner;R.E.B. Brown;T.P. Kelliher;P.H. Tu

  • Collaborative Real-Time Control of Active Cameras in Large Scale Surveillance Systems

    Nils Krahnstoever;Ting Yu;Ser-Nam Lim;Kedar Patwardhan

  • Video surveillance: past, present, and now the future [DSP Forum]

    Fatih Porikli;Francois Bremond;Shiloh L. Dockstader;James Ferryman

  • Stand-off Iris Recognition System

    F.W. Wheeler;A.G.A. Perera;G. Abramovich;Bing Yu

  • Face recognition at a distance system for surveillance applications

    Frederick W. Wheeler;Richard L. Weiss;Peter H. Tu

  • Multi-Frame Super-Resolution for Face Recognition

    F.W. Wheeler;Xiaoming Liu;P.H. Tu

  • Werkwijzen en apparaten voor verwerken van beelddata om te helpen bij detecteren van ziekte.

    Turek Matthew William;Mundy Joseph Leagrand;Pan Tony Chi-Shao;Tu Peter Henry

  • System and method to manage delivery of healthcare to a patient

    Christopher Johnson;Kunter Akbay;Andrew Day;Gianfranco Doretto

  • What are customers looking at

    Xiaoming Liu;N. Krahnstoever;Ting Yu;P. Tu

  • System and method of providing security for a site

    Timothy Patrick Kelliher;Jens Rittscher;Peter Henry Tu;Douglas H. Marman

  • System and method for passive face recognition

    Peter Henry Tu;Timothy Patrick Kelliher;Jens Ritscher;Nils Oliver Krahnstoever

  • Monitoring system and method based on information prior to the point of sale

    Timothy Kelliher;Mark Grabb;Douglas Marman;Peter Tu

  • Activity Recognition using Visual Tracking and RFID

    N. Krahnstoever;J. Rittscher;P. Tu;K. Chean

Frequent Co-Authors

Xiaoming Liu
Xiaoming Liu University of North Carolina at Chapel Hill
Jens Rittscher
Jens Rittscher University of Oxford
Richard Hartley
Richard Hartley Australian National University
Joseph L. Mundy
Joseph L. Mundy Brown University
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Ying Wu
Ying Wu Northwestern University
François Brémond
François Brémond French Institute for Research in Computer Science and Automation - INRIA
Piero P. Bonissone
Piero P. Bonissone General Electric (United States)
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Longyin Wen
Longyin Wen ByteDance

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