World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5325
World Ranking
10834
National Ranking
679

Michael Ying 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 Michael Ying 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Michael Ying 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 Michael Ying 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Michael Ying Yang is affiliated with the University of Bath in the United Kingdom. Their research primarily spans the fields of computer science and engineering, with a significant focus on computer vision and pattern recognition, artificial intelligence, and computational mechanics.

Their work covers various subfields including media technology and automotive engineering. The research topics Michael Ying Yang has contributed to extensively include advanced image and video retrieval techniques, multimodal machine learning applications, advanced neural network applications, 3D shape modeling and analysis, autonomous vehicle technology and safety, remote sensing and LiDAR applications, as well as video surveillance and tracking methods.

Michael Ying Yang has published in a variety of scientific venues, with frequent contributions to:

  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • The international archives of the photogrammetry, remote sensing and spatial information sciences
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Regarding collaboration, they have worked closely with several co-authors, including:

  • Bodo Rosenhahn
  • George Vosselman
  • Wentong Liao
  • Hao Cheng
  • Yuren Cong

Some of the recent papers by Michael Ying Yang include:

  • UAVid: A semantic segmentation dataset for UAV imagery, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • RelTR: Relation Transformer for Scene Graph Generation, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A deep learning-based surface defect inspection system using multi-scale and channel-compressed features, 2020, IEEE Transactions on Instrumentation and Measurement
  • Text to Image Generation with Semantic-Spatial Aware GAN, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image

    Eric Brachmann;Frank Michel;Alexander Krull;Michael Ying Yang

  • Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection

    Dayan Guan;Yanpeng Cao;Jiangxin Yang;Yanlong Cao

  • A deep-learning-based approach for fast and robust steel surface defects classification

    Guizhong Fu;Peize Sun;Wenbin Zhu;Jiangxin Yang

  • RelTR: Relation Transformer for Scene Graph Generation

    Unknown

  • Exploiting global priors for RGB-D saliency detection

    Jianqiang Ren;Xiaojin Gong;Lu Yu;Wenhui Zhou

  • Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

    Alexander Krull;Eric Brachmann;Frank Michel;Michael Ying Yang

  • On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

    Yang Long;Gui-Song Xia;Shengyang Li;Wen Yang

  • Plane Detection in Point Cloud Data

    Michael Ying Yang;Wolfgang Forstner

  • Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping

    Sophie Crommelinck;Rohan Bennett;Markus Gerke;Francesco Nex

  • Effective Strip Noise Removal for Low-Textured Infrared Images Based on 1-D Guided Filtering

    Yanpeng Cao;Michael Ying Yang;Christel-Loic Tisse

  • Cascaded Deep Networks With Multiple Receptive Fields for Infrared Image Super-Resolution

    Zewei He;Siliang Tang;Jiangxin Yang;Yanlong Cao

  • Analyzing modular CNN architectures for joint depth prediction and semantic segmentation

    Omid Hosseini Jafari;Oliver Groth;Alexander Kirillov;Michael Ying Yang

  • Real-time Semantic Segmentation with Context Aggregation Network

    Michael Ying Yang;Saumya Kumaar;Ye Lyu;Francesco Nex

  • LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

    Unknown

  • A hierarchical conditional random field model for labeling and classifying images of man-made scenes

    Michael Ying Yang;Wolfgang Forstner

  • Contour Detection for UAV-Based Cadastral Mapping

    Sophie Crommelinck;Rohan Bennett;Markus Gerke;Michael Ying Yang

  • Detecting building changes between airborne laser scanning and photogrammetric data

    Zhenchao Zhang;George Vosselman;Markus Gerke;Claudio Persello

  • Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection

    Yanpeng Cao;Dayan Guan;Yulun Wu;Jiangxin Yang

  • Natural Language Guided Visual Relationship Detection

    Wentong Liao;Bodo Rosenhahn;Ling Shuai;Michael Ying Yang

  • Deep Learning for Vehicle Detection in Aerial Images

    Michael Ying Yang;Wentong Liao;Xinbo Li;Bodo Rosenhahn

  • On support relations and semantic scene graphs

    Michael Ying Yang;Wentong Liao;Hanno Ackermann;Bodo Rosenhahn

  • Active and incremental learning for semantic ALS point cloud segmentation

    Yaping Lin;George Vosselman;Yanpeng Cao;Michael Ying Yang

  • Vehicle Detection in Aerial Images

    Michael Ying Yang;Wentong Liao;Xinbo Li;Yanpeng Cao

  • Natural Language Guided Visual Relationship Detection

    Wentong Liao;Lin Shuai;Bodo Rosenhahn;Michael Ying Yang

  • Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection

    Dayan Guan;Yanpeng Cao;Jun Liang;Yanlong Cao

Frequent Co-Authors

Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Carsten Rother
Carsten Rother Heidelberg University
George Vosselman
George Vosselman University of Twente
Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Christian Heipke
Christian Heipke University of Hannover
Francesco Nex
Francesco Nex University of Twente
Uwe Stilla
Uwe Stilla Technical University of Munich
Franz Rottensteiner
Franz Rottensteiner University of Hannover
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Eugene W. Myers
Eugene W. Myers Max Planck Institute of Molecular Cell Biology and Genetics

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