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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
158
Citations
127506
World Ranking
24
National Ranking
14

Ming-Hsuan Yang 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 Ming-Hsuan Yang 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: 561 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Ming-Hsuan Yang 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 Ming-Hsuan Yang 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: 158 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Longuet-Higgins Prize, Computer Vision Foundation (CVF)
  • 2023 - Longuet-Higgins Prize, Computer Vision Foundation (CVF)
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2021 - ACM Fellow For contributions to visual tracking, face processing, and low-level vision
  • 2019 - IEEE Fellow For contributions to object tracking and face recognition
  • 2007 - ACM Senior Member

Overview

Ming-Hsuan Yang is a researcher affiliated with the University of California, Merced in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering, and Electrical and Electronic Engineering.

Their research contributions center around topics such as advanced image processing techniques, advanced neural network applications, domain adaptation and few-shot learning, advanced vision and imaging, advanced image and video retrieval techniques, multimodal machine learning applications, and generative adversarial networks and image synthesis.

Ming-Hsuan Yang has published extensively, with frequent contributions to key academic venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • SSRN Electronic Journal
  • IEEE Transactions on Image Processing

Some of the more recent published papers include:

  • Restormer: Efficient Transformer for High-Resolution Image Restoration, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Diffusion Models: A Comprehensive Survey of Methods and Applications, 2023, ACM Computing Surveys
  • UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking, 2020, Computer Vision and Image Understanding
  • DRIT++: Diverse Image-to-Image Translation via Disentangled Representations, 2020, International Journal of Computer Vision
  • Learning Enriched Features for Fast Image Restoration and Enhancement, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Ming-Hsuan Yang collaborates with several frequently appearing coauthors, including Fahad Shahbaz Khan, Yi-Hsuan Tsai, Hung-Yu Tseng, Yuankai Qi, and Boqing Gong.

The researcher has been recognized with professional distinctions such as being named an IEEE Fellow in 2019 for contributions to object tracking and face recognition, and an ACM Senior Member since 2007.

Best Publications

  • Online Object Tracking: A Benchmark

    Yi Wu;Jongwoo Lim;Ming-Hsuan Yang

  • Detecting faces in images: a survey

    Ming-Hsuan Yang;D.J. Kriegman;N. Ahuja

  • Incremental Learning for Robust Visual Tracking

    David A. Ross;Jongwoo Lim;Ruei-Sung Lin;Ming-Hsuan Yang

  • Object Tracking Benchmark

    Yi Wu;Jongwoo Lim;Ming-Hsuan Yang

  • Res2Net: A New Multi-Scale Backbone Architecture

    Shang-Hua Gao;Ming-Ming Cheng;Kai Zhao;Xin-Yu Zhang

  • Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

    Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang

  • Saliency Detection via Graph-Based Manifold Ranking

    Chuan Yang;Lihe Zhang;Huchuan Lu;Xiang Ruan

  • Robust Object Tracking with Online Multiple Instance Learning

    B. Babenko;Ming-Hsuan Yang;S. Belongie

  • Visual tracking with online Multiple Instance Learning

    Boris Babenko;Ming-Hsuan Yang;Serge Belongie

  • Fast Compressive Tracking

    Kaihua Zhang;Lei Zhang;Ming Hsuan Yang

  • Hierarchical Convolutional Features for Visual Tracking

    Chao Ma;Jia-Bin Huang;Xiaokang Yang;Ming-Hsuan Yang

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks

    Wenqi Ren;Wenqi Ren;Si Liu;Hua Zhang;Jinshan Pan

  • Multi-Stage Progressive Image Restoration

    Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat

  • Visual tracking via adaptive structural local sparse appearance model

    Xu Jia;Huchuan Lu;Ming-Hsuan Yang

  • Learning to Adapt Structured Output Space for Semantic Segmentation

    Yi-Hsuan Tsai;Wei-Chih Hung;Samuel Schulter;Kihyuk Sohn

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Diverse Image-to-Image Translation via Disentangled Representations

    Hsin-Ying Lee;Hung-Yu Tseng;Jia-Bin Huang;Maneesh Kumar Singh

  • Real-time compressive tracking

    Kaihua Zhang;Lei Zhang;Ming-Hsuan Yang

  • Robust object tracking via sparsity-based collaborative model

    Wei Zhong;Huchuan Lu;Ming-Hsuan Yang

Frequent Co-Authors

Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Huchuan Lu
Huchuan Lu Dalian University of Technology
Jongwoo Lim
Jongwoo Lim Seoul National University
Jimei Yang
Jimei Yang Adobe Systems (United States)
Deqing Sun
Deqing Sun Google (United States)
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Jan Kautz
Jan Kautz Nvidia (United States)
Yen-Yu Lin
Yen-Yu Lin National Yang Ming Chiao Tung University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology

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