World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12364
World Ranking
7048
National Ranking
939

Qingxiong 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 Qingxiong 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: 78 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Qingxiong 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 Qingxiong 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Qingxiong Yang is affiliated with the City University of Hong Kong in China and works primarily in the field of Computer Science. Their research covers a range of subfields with a focus on Artificial Intelligence, Computer Networks and Communications, and Information Systems.

The scientist's work addresses several key topics, notably Network Security and Intrusion Detection, which is the most prominent area of their research. Other topics include Doping in Sports, Sports Analytics and Performance, Advanced Graph Neural Networks, Topic Modeling, Data Quality and Management, and Internet Traffic Analysis and Secure E-voting.

Recent publications by Qingxiong Yang include:

  • "The Application of Machine Learning in Doping Detection" (2024), Journal of Chemical Information and Modeling
  • "An Industrial Internet Security Assessment Model Based on a Selectable Confidence Rule Base" (2024), Sensors

Additional notable papers connected with their network of research include:

  • "Entity Profiling in Knowledge Graphs" (2020), IEEE Access
  • "Ground-distance segmentation of 3D LiDAR point cloud toward autonomous driving" (2020), APSIPA Transactions on Signal and Information Processing
  • "Network Security Prediction of Industrial Control Based on Projection Equalization Optimization Algorithm" (2024), Sensors

The frequent coauthors working alongside Qingxiong Yang are Shiming Li, Guoxing Li, Yuhe Wang, Yanbin Yuan, and Dehong Kong.

The venues chosen for publication indicate a consistent focus on established journals and conferences in related research areas. These include IEEE Access and Sensors, where the most frequent publications appear, as well as the Journal of Chemical Information and Modeling and APSIPA Transactions on Signal and Information Processing. There is also a record of contributions to Computers, materials & continua (Print).

Best Publications

  • Detailed Real-Time Urban 3D Reconstruction from Video

    M. Pollefeys;D. Nistér;J. M. Frahm;A. Akbarzadeh

  • Spatial-Depth Super Resolution for Range Images

    Qingxiong Yang;Ruigang Yang;J. Davis;D. Nister

  • Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation, and Occlusion Handling

    Qingxiong Yang;Liang Wang;Ruigang Yang;H. Stewenius

  • Deep Colorization

    Zezhou Cheng;Qingxiong Yang;Bin Sheng

  • Real-time O(1) bilateral filtering

    Qingxiong Yang;Kar-Han Tan;Narendra Ahuja

  • A non-local cost aggregation method for stereo matching

    Qingxiong Yang

  • Real-time part-based visual tracking via adaptive correlation filters

    Ting Liu;Gang Wang;Qingxiong Yang

  • Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions

    D. Gallup;J.-M. Frahm;P. Mordohai;Qingxiong Yang

  • RGBD Salient Object Detection via Deep Fusion

    Liangqiong Qu;Shengfeng He;Jiawei Zhang;Jiandong Tian

  • Visual Tracking via Locality Sensitive Histograms

    Shengfeng He;Qingxiong Yang;Rynson W. H. Lau;Jiang Wang

  • Real-time Global Stereo Matching Using Hierarchical Belief Propagation.

    Qingxiong Yang;Liang Wang;Ruigang Yang;Shengnan Wang

  • A constant-space belief propagation algorithm for stereo matching

    Qingxiong Yang;Liang Wang;Narendra Ahuja

  • SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection

    Shengfeng He;Rynson W. Lau;Wenxi Liu;Zhe Huang

  • Real-Time Salient Object Detection with a Minimum Spanning Tree

    Wei-Chih Tu;Shengfeng He;Qingxiong Yang;Shao-Yi Chien

  • Towards Urban 3D Reconstruction from Video

    A. Akbarzadeh;J.-M. Frahm;P. Mordohai;B. Clipp

  • Stereo Matching with Color-Weighted Correlation, Hierachical Belief Propagation and Occlusion Handling

    Qyngxiong Yang;Liang Wang;Ruigang Yang;H. Stewenius

  • Real-time specular highlight removal using bilateral filtering

    Qingxiong Yang;Shengnan Wang;Narendra Ahuja

  • Video Tracking Using Learned Hierarchical Features

    Li Wang;Ting Liu;Gang Wang;Kap Luk Chan

  • Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow

    Linchao Bao;Qingxiong Yang;Hailin Jin

  • Recursive bilateral filtering

    Qingxiong Yang

Frequent Co-Authors

Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Ruigang Yang
Ruigang Yang University of Kentucky
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Marc Pollefeys
Marc Pollefeys ETH Zurich
Jan-Michael Frahm
Jan-Michael Frahm University of North Carolina at Chapel Hill
Sudipta N. Sinha
Sudipta N. Sinha Microsoft (United States)
James Davis
James Davis University of California, Santa Cruz
Qing Li
Qing Li Hong Kong Polytechnic University
Greg Welch
Greg Welch University of Central Florida

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