World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
33712
World Ranking
3723
National Ranking
1779

Jia Li 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 Li 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: 265 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Jia Li 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 Li 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: 57 D-Index — 74th percentile

74% 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

  • 2019 - Fellow of the American Statistical Association (ASA)

Overview

Jia Li is affiliated with Pennsylvania State University in the United States and specializes primarily in Computer Science and Engineering. Their research spans multiple subfields, focusing especially on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Ocean Engineering, and Media Technology.

The scientist's work covers a range of main topics, including Visual Attention and Saliency Detection, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Image Enhancement Techniques, and Anomaly Detection Techniques and Applications.

Jia Li has contributed extensively to academic publications, with frequent appearances in venues such as arXiv (Cornell University), IEEE Transactions on Image Processing, SSRN Electronic Journal, Proceedings of the AAAI Conference on Artificial Intelligence, and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recent papers authored or co-authored by Jia Li include:

  • Pyramidal Feature Shrinking for Salient Object Detection, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection, 2022, IEEE Transactions on Image Processing
  • Pyramid Grafting Network for One-Stage High Resolution Saliency Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Boosting Broader Receptive Fields for Salient Object Detection, 2023, IEEE Transactions on Image Processing
  • Transformer-based Dual Relation Graph for Multi-label Image Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent co-authors who have collaborated with Jia Li include Yifan Zhao, Yonghong Tian, Changqun Xia, Xiaowu Chen, and Long Xu.

Jia Li was recognized as a Fellow of the American Statistical Association (ASA) in 2019.

Best Publications

  • Initial sequencing and comparative analysis of the mouse genome.

    Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers

  • Image retrieval: Ideas, influences, and trends of the new age

    Ritendra Datta;Dhiraj Joshi;Jia Li;James Z. Wang

  • SIMPLIcity: semantics-sensitive integrated matching for picture libraries

    J.Z. Wang;Jia Li;G. Wiederhold

  • Automatic Linguistic Indexing of Pictures by a statistical modeling approach

    Jia Li;J.Z. Wang

  • Studying aesthetics in photographic images using a computational approach

    Ritendra Datta;Dhiraj Joshi;Jia Li;James Z. Wang

  • Real-Time Computerized Annotation of Pictures

    Jia Li;J.Z. Wang

  • Content-based image retrieval: approaches and trends of the new age

    Ritendra Datta;Jia Li;James Z. Wang

  • IRM: integrated region matching for image retrieval

    Jia Li;James Z. Wang;Gio Wiederhold

  • LifeLines: Using Visualization to Enhance Navigation and Analysis of Patient Records

    Catherine Plaisant;Richard Mushlin;Aaron Snyder;Jia Li

  • A Fast Spectral Method for Active 3D Shape Reconstruction

    Jia Li;Alfred O. Hero

  • Aesthetics and Emotions in Images

    D. Joshi;R. Datta;E. Fedorovskaya;Quang-Tuan Luong

  • Image classification by a two-dimensional hidden Markov model

    Jia Li;A. Najmi;R.M. Gray

  • Image processing for artist identification

    C.R. Johnson;E. Hendriks;I.J. Berezhnoy;E. Brevdo

  • Real-time automatic tag recommendation

    Yang Song;Ziming Zhuang;Huajing Li;Qiankun Zhao

  • Probabilistic models for discovering e-communities

    Ding Zhou;Eren Manavoglu;Jia Li;C. Lee Giles

  • Image-based captcha generation system

    James Z. Wang;Ritendra Datta;Jia Li

  • System and method for automatic linguistic indexing of images by a statistical modeling approach

    Jia Li;James Wang

  • A Nonparametric Statistical Approach to Clustering via Mode Identification

    Jia Li;Surajit Ray;Bruce G. Lindsay

  • Unsupervised multiresolution segmentation for images with low depth of field

    J.Z. Wang;Jia Li;R.M. Gray;G. Wiederhold

  • Studying digital imagery of ancient paintings by mixtures of stochastic models

    Jia Li;J.Z. Wang

Frequent Co-Authors

James Z. Wang
James Z. Wang Pennsylvania State University
Robert M. Gray
Robert M. Gray Stanford University
Gio Wiederhold
Gio Wiederhold Stanford University
Michelle G. Newman
Michelle G. Newman Pennsylvania State University
Webb Miller
Webb Miller Pennsylvania State University
C. Lee Giles
C. Lee Giles Pennsylvania State University
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Jiebo Luo
Jiebo Luo University of Rochester
Ross C. Hardison
Ross C. Hardison Pennsylvania State University
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University

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