World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9556
World Ranking
11006
National Ranking
1359

Hong Chang 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 Hong Chang 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: 104 publications — 10th percentile

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

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

Hong Chang 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 Hong Chang 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Hong Chang is affiliated with the Chinese Academy of Sciences in China and has a significant research profile in the fields of Computer Science and Engineering. Their work mainly spans the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Mechanical Engineering, and Electrical and Electronic Engineering.

The scientist's recent publications include:

  • Clothes-Changing Person Re-identification with RGB Modality Only, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Feature Completion for Occluded Person Re-Identification, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Cross-Modal Knowledge Adaptation for Language-Based Person Search, 2021, IEEE Transactions on Image Processing
  • Salient-to-Broad Transition for Video Person Re-identification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IAUnet: Global Context-Aware Feature Learning for Person Reidentification, 2020, IEEE Transactions on Neural Networks and Learning Systems

The main research topics explored by Hong Chang include:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Gait Recognition and Analysis
  • Face Recognition and Analysis
  • Advanced Neural Network Applications

Hong Chang has collaborated frequently with several co-authors, including:

  • Bingpeng Ma
  • Shiguang Shan
  • Xilin Chen
  • Ruibing Hou
  • Xinqian Gu

The scientist has published extensively in several venues, with the most frequent being:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia

Hong Chang's work contributes notably to advanced methods in person re-identification, image and video analysis, and cross-modal learning, indicating a multidisciplinary approach within their primary domains of computer vision and artificial intelligence.

Best Publications

  • Super-resolution through neighbor embedding

    Hong Chang;Dit-Yan Yeung;Yimin Xiong

  • Robust path-based spectral clustering

    Hong Chang;Dit-Yan Yeung

  • SVC2004: First International Signature Verification Competition

    Dit-Yan Yeung;Hong Chang;Yimin Xiong;Susan E. George

  • Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

    Hongkai Zhang;Hong Chang;Bingpeng Ma;Naiyan Wang

  • Interaction-And-Aggregation Network for Person Re-Identification

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Cross Attention Network for Few-shot Classification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Shiguang Shan

  • Deep Network Cascade for Image Super-resolution

    Zhen Cui;Zhen Cui;Hong Chang;Shiguang Shan;Bineng Zhong

  • Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses

    Meina Kan;Shiguang Shan;Hong Chang;Xilin Chen

  • Low-Resolution Face Recognition via Coupled Locality Preserving Mappings

    Bo Li;Hong Chang;Shiguang Shan;Xilin Chen

  • Robust locally linear embedding

    Hong Chang;Dit-Yan Yeung

  • VRSTC: Occlusion-Free Video Person Re-Identification

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Appearance-Preserving 3D Convolution for Video-Based Person Re-identification

    Xinqian Gu;Hong Chang;Bingpeng Ma;Hongkai Zhang

  • Temporal Complementary Learning for Video Person Re-Identification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Shiguang Shan

  • A Kernel Approach for Semisupervised Metric Learning

    Dit-Yan Yeung;Hong Chang

  • TCTS: A Task-Consistent Two-Stage Framework for Person Search

    Cheng Wang;Bingpeng Ma;Hong Chang;Shiguang Shan

  • BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Rui Huang

  • Visual Relationship Detection With Deep Structural Ranking.

    Kongming Liang;Yuhong Guo;Hong Chang;Xilin Chen

  • Locally linear metric adaptation for semi-supervised clustering

    Hong Chang;Dit-Yan Yeung

  • Feature Completion for Occluded Person Re-Identification.

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Aligning Coupled Manifolds for Face Hallucination

    Bo Li;Hong Chang;Shiguang Shan;Xilin Chen

  • Semi-Supervised Discriminant Analysis via Spectral Transduction

    Deming Zhai;Hong Chang;Bo Li;Shiguang Shan

  • Low-Resolution Face Recognition via Coupled

    Locality Preserving Mappings;Bo Li;Hong Chang;Shiguang Shan

Frequent Co-Authors

Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Bingpeng Ma
Bingpeng Ma University of Chinese Academy of Sciences
Dit-Yan Yeung
Dit-Yan Yeung Hong Kong University of Science and Technology
Wen Gao
Wen Gao Peking University
Bineng Zhong
Bineng Zhong Guangxi Normal University
Naiyan Wang
Naiyan Wang Hong Kong University of Science and Technology
Yuhong Guo
Yuhong Guo Carleton University
Debin Zhao
Debin Zhao Harbin Institute of Technology
Shifeng Zhang
Shifeng Zhang Beijing Forestry University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science study in the USA opens the door to a wide variety of online degrees and potential career pathways. Whether you're looking to specialize or expand your expertise, there are affordable options in many related disciplines.

For those interested in sustainability and technology, an environmental engineering online degree allows you to develop solutions to environmental challenges remotely. If you are more interested in design and innovation, consider the cheapest mechanical engineering degree online—ideal for those seeking a cost-effective path into one of the most versatile engineering fields.

Students with a passion for science and research often opt for an online theoretical physics degree, which provides a strong foundation in abstract reasoning and analytical skills. In the fast-growing field of analytics, top data science programs are also available online, preparing graduates for data-driven roles across industries.

All of these pathways offer flexible, remote learning options tailored to meet your career goals while helping you manage costs.

Best Scientists Citing Hong Chang

Trending Scientists

Recently Published Articles