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Computer Science
UAE
2026

D-Index & Metrics

Computer Science

D-Index
128
Citations
65769
World Ranking
107
National Ranking
3

Ling Shao 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 Ling Shao 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 815 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Ling Shao 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 Ling Shao sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 128 D-Index — 99th percentile

99% 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 Arab Emirates Leader Award
  • 2025 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2023 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2022 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2021 - IEEE Fellow For contributions to computer vision and representation learning
  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to human action recognition and video understanding

Overview

Ling Shao is affiliated with Terminus International in the United Arab Emirates. Their research primarily focuses on computer science, with significant contributions in the subfields of computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, computational mechanics, and biomedical engineering.

Their work covers a range of main topics including domain adaptation and few-shot learning, advanced neural network applications, multimodal machine learning applications, advanced image and video retrieval techniques, video surveillance and tracking methods, visual attention and saliency detection, and human pose and action recognition.

Ling Shao has published extensively across various high-impact venues. Some frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Neural Networks and Learning Systems

The following are selected recent papers authored or coauthored by Ling Shao, listing the title, year, and publication venue:

  • Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Deep Learning for Person Re-Identification: A Survey and Outlook, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • PVT v2: Improved baselines with pyramid vision transformer, 2022, Computational Visual Media
  • Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images, 2020, IEEE Transactions on Medical Imaging
  • Concealed Object Detection, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Ling Shao has collaborated frequently with several researchers including:

  • Deng-Ping Fan
  • Huazhu Fu
  • Xiantong Zhen
  • Jianbing Shen
  • Fahad Shahbaz Khan

In recognition of their contributions, Ling Shao has received awards such as:

  • IEEE Fellow, 2021, for contributions to computer vision and representation learning
  • Fellow of the International Association for Pattern Recognition (IAPR), 2018, for contributions to human action recognition and video understanding

Best Publications

  • A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior

    Qingsong Zhu;Jiaming Mai;Ling Shao

  • Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

    Jungong Han;Ling Shao;Dong Xu;Jamie Shotton

  • PVTv2: Improved Baselines with Pyramid Vision Transformer

    Wenhai Wang;Enze Xie;Xiang Li;Deng-Ping Fan

  • Deep Learning for Person Re-identification: A Survey and Outlook.

    Mang Ye;Jianbing Shen;Gaojie Lin;Tao Xiang

  • Multi-Stage Progressive Image Restoration

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

  • PraNet: Parallel Reverse Attention Network for Polyp Segmentation

    Deng-Ping Fan;Ge-Peng Ji;Tao Zhou;Geng Chen

  • A survey on fall detection: Principles and approaches

    Muhammad Mubashir;Ling Shao;Luke Seed

  • Transfer Learning for Visual Categorization: A Survey

    Ling Shao;Fan Zhu;Xuelong Li

  • Recent advances and trends in visual tracking: A review

    Hanxuan Yang;Ling Shao;Feng Zheng;Liang Wang

  • HRank: Filter Pruning Using High-Rank Feature Map

    Mingbao Lin;Rongrong Ji;Yan Wang;Yichen Zhang

  • Concealed Object Detection

    Unknown

  • Camouflaged Object Detection

    Deng-Ping Fan;Ge-Peng Ji;Guolei Sun;Ming-Ming Cheng

  • Learning Enriched Features for Fast Image Restoration and Enhancement

    Unknown

  • Video Salient Object Detection via Fully Convolutional Networks

    Wenguan Wang;Jianbing Shen;Ling Shao

  • Binary Multi-View Clustering

    Zheng Zhang;Li Liu;Fumin Shen;Heng Tao Shen

  • Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

    Di Wu;Lionel Pigou;Pieter-Jan Kindermans;Nam Do-Hoang Le

  • A rapid learning algorithm for vehicle classification

    Xuezhi Wen;Ling Shao;Yu Xue;Wei Fang

  • See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks

    Xiankai Lu;Wenguan Wang;Chao Ma;Jianbing Shen

  • STAR: A Structure and Texture Aware Retinex Model

    Jun Xu;Yingkun Hou;Dongwei Ren;Li Liu

  • Design and performance evaluation of a whole-body Ingenuity TF PET-MRI system

    Habib Zaidi;N Ojha;M Morich;J Griesmer

  • From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms

    Ling Shao;Ruomei Yan;Xuelong Li;Yan Liu

  • Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement

    Wenguan Wang;Jianbing Shen;Ling Shao

  • Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks

    Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen

Frequent Co-Authors

Jianbing Shen
Jianbing Shen University of Macau
Jungong Han
Jungong Han Aberystwyth University
Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Xiantong Zhen
Xiantong Zhen University of Amsterdam
Yanwei Pang
Yanwei Pang Tianjin University
Xuelong Li
Xuelong Li China Telecom (China)
Wenguan Wang
Wenguan Wang Zhejiang University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Fatih Porikli
Fatih Porikli Australian National University

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