World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
41322
World Ranking
1165
National Ranking
619

H. T. Kung 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 H. T. Kung 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: 346 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

H. T. Kung 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 H. T. Kung 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

H. T. Kung is affiliated with Harvard University in the United States and has contributed extensively to research in computer science and engineering. Their work spans various fields with a particular focus on computer vision, artificial intelligence, and industrial and manufacturing engineering.

The scientist's recent publications cover diverse topics and include:

  • Twitter Geolocation and Regional Classification via Sparse Coding, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Term Revealing: Furthering Quantization at Run Time on Quantized DNNs, 2020, arXiv (Cornell University)
  • A Task-Oriented Deep Learning Approach for Human Localization, 2024, IEEE Transactions on Cognitive and Developmental Systems
  • Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels, 2023, arXiv (Cornell University)

Frequent coauthors in their research include Sai Qian Zhang, Xin Dong, B. De Salvo, Ziyun Li, and Vikas Natesh.

The scientist's research has been published predominantly in:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Cognitive and Developmental Systems
  • Journal of Intelligent Manufacturing

Main fields of study include:

  • Computer Science
  • Engineering

Subfields with significant contributions are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

The research topics cover:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Manufacturing Process and Optimization
  • Advanced machining processes and optimization
  • Indoor and Outdoor Localization Technologies
  • Sparse and Compressive Sensing Techniques
  • Optical Imaging and Spectroscopy Techniques

Best Publications

  • GPSR: greedy perimeter stateless routing for wireless networks

    Brad Karp;H. T. Kung

  • On optimistic methods for concurrency control

    H. T. Kung;John T. Robinson

  • Systolic Arrays for (VLSI).

    H T Kung;Charles E Leiserson

  • On Finding the Maxima of a Set of Vectors

    H. T. Kung;F. Luccio;F. P. Preparata

  • BranchyNet: Fast inference via early exiting from deep neural networks

    Surat Teerapittayanon;Bradley McDanel;H.T. Kung

  • Optimal Order of One-Point and Multipoint Iteration

    H. T. Kung;J. F. Traub

  • Matrix Triangularization By Systolic Arrays

    W. M. Gentleman;H. T. Kung

  • Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

    Surat Teerapittayanon;Bradley McDanel;H.T. Kung

  • Sorting on a mesh-connected parallel computer

    C. D. Thompson;H. T. Kung

  • I/O complexity: The red-blue pebble game

    Hong Jia-Wei;H. T. Kung

  • On the Average Number of Maxima in a Set of Vectors and Applications

    J. L. Bentley;H. T. Kung;M. Schkolnick;C. D. Thompson

  • iWarp: an integrated solution to high-speed parallel computing

    S. Borkar;R. Cohn;G. Cox;S. Gleason

  • The Warp Computer: Architecture, Implementation, and Performance

    Marco Annaratone;Emmanuel Arnould;Thomas Gross;H. T. Kung

  • Design of special-purpose VLSI chips: Example and opinions

    M. J. Foster;H. T. Kung

  • Fast Algorithms for Manipulating Formal Power Series

    R. P. Brent;H. T. Kung

  • Efficient location tracking using sensor networks

    H.T. Kung;D. Vlah

  • The Structure of Parallel Algorithms.

    H. T. Kung

  • Direct VLSI Implementation of Combinatorial Algorithms

    L. J. Guibas;H. T. Kung;C. D. Thompson

  • Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays

    Ping-Heng Kuo;H. T. Kung;Pang-An Ting

  • Ad hoc relay wireless networks over moving vehicles on highways

    Zong Da Chen;H.T. Kung;Dario Vlah

  • Geographic routing for wireless networks

    H. T. Kung;Brad Nelson Karp

Frequent Co-Authors

Richard P. Brent
Richard P. Brent Australian National University
Monica S. Lam
Monica S. Lam Stanford University
Christos H. Papadimitriou
Christos H. Papadimitriou Columbia University
Vahid Tarokh
Vahid Tarokh Duke University
William M. Campbell
William M. Campbell Amazon (United States)
Joseph F. Traub
Joseph F. Traub Columbia University
Peter Steenkiste
Peter Steenkiste Carnegie Mellon University
Margo Seltzer
Margo Seltzer University of British Columbia
Shekhar Borkar
Shekhar Borkar Qualcomm (United States)
Shilpa Talwar
Shilpa Talwar Intel (United States)

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