World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
135369
World Ranking
3143
National Ranking
1522

Jia Deng 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 Jia Deng 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Jia Deng 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 Jia Deng 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Jia Deng is affiliated with Princeton University in the United States. Their primary research contributions lie within the field of Computer Science, specifically focusing on Computer Vision and Pattern Recognition. They have also contributed to subfields including Artificial Intelligence, Computer Graphics and Computer-Aided Design, Media Technology, and Geology.

The scientist's research topics primarily cover:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Optical measurement and interference techniques
  • Advanced Neural Network Applications
  • Computer Graphics and Visualization Techniques
  • Image Processing Techniques and Applications

Jia Deng has authored numerous papers, with recent publications including:

  • RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching, 2021, 2021 International Conference on 3D Vision (3DV)
  • RAFT: Recurrent All-Pairs Field Transforms for Optical Flow, 2020, arXiv (Cornell University)
  • A Study of Face Obfuscation in ImageNet, 2021, arXiv (Cornell University)
  • RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching, 2021, arXiv (Cornell University)
  • Learning Video Representations from Textual Web Supervision, 2020, arXiv (Cornell University)

The frequent venues of publication for Jia Deng include:

  • arXiv (Cornell University)
  • 2021 International Conference on 3D Vision (3DV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • The Visual Computer
  • Dynamics of Atmospheres and Oceans

Frequent coauthors working with Jia Deng are:

  • Zachary Teed
  • Lahav Lipson
  • Kaiyu Yang
  • Ankit Goyal
  • Hongyu Wen

Jia Deng received the award of Fellow of the Alfred P. Sloan Foundation in 2018.

Best Publications

  • ImageNet: A large-scale hierarchical image database

    Jia Deng;Wei Dong;Richard Socher;Li-Jia Li

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

  • Stacked Hourglass Networks for Human Pose Estimation

    Alejandro Newell;Kaiyu Yang;Jia Deng

  • 3D Object Representations for Fine-Grained Categorization

    Jonathan Krause;Michael Stark;Jia Deng;Li Fei-Fei

  • Cornernet: Detecting objects as paired keypoints

    Hei Law;Jia Deng

  • RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

    Zachary Teed;Jia Deng

  • CornerNet: Detecting Objects as Paired Keypoints

    Hei Law;Jia Deng

  • Associative Embedding: End-to-End Learning for Joint Detection and Grouping

    Alejandro Newell;Zhiao Huang;Jia Deng

  • Rethinking the Faster R-CNN Architecture for Temporal Action Localization

    Yu-Wei Chao;Sudheendra Vijayanarasimhan;Bryan Seybold;David A. Ross

  • What does classifying more than 10,000 image categories tell us?

    Jia Deng;Alexander C. Berg;Kai Li;Li Fei-Fei

  • RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

    Unknown

  • Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the United States

    Timnit Gebru;Jonathan Krause;Yilun Wang;Duyun Chen

  • Large-Scale Object Classification Using Label Relation Graphs

    Jia Deng;Jia Deng;Nan Ding;Yangqing Jia;Andrea Frome

  • Learning to Detect Human-Object Interactions

    Yu-Wei Chao;Yunfan Liu;Xieyang Liu;Huayi Zeng

  • Single-Image Depth Perception in the Wild

    Weifeng Chen;Zhao Fu;Dawei Yang;Jia Deng

  • Fine-Grained Crowdsourcing for Fine-Grained Recognition

    Jia Deng;Jonathan Krause;Li Fei-Fei

  • HICO: A Benchmark for Recognizing Human-Object Interactions in Images

    Yu-Wei Chao;Zhan Wang;Yugeng He;Jiaxuan Wang

  • Hierarchical semantic indexing for large scale image retrieval

    Jia Deng;Alexander C. Berg;Li Fei-Fei

  • ImageNet: Constructing a large-scale image database

    Li Fei-Fei;Jia Deng;Kai Li

  • Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy

    Kaiyu Yang;Klint Qinami;Li Fei-Fei;Jia Deng

  • Crowdsourcing annotations for visual object detection

    Hao Su;Jia Deng;Li Fei-Fei

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

Frequent Co-Authors

Li Fei-Fei
Li Fei-Fei Stanford University
Alexander C. Berg
Alexander C. Berg University of North Carolina at Chapel Hill
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Li-Jia Li
Li-Jia Li Stanford University
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Hao Su
Hao Su University of California, San Diego
Michael S. Bernstein
Michael S. Bernstein Stanford University
Kai Li
Kai Li Princeton University
Mingyan Liu
Mingyan Liu University of Michigan–Ann Arbor

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