World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
16805
World Ranking
9023
National Ranking
1159

Cong Yao 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 Cong Yao 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: 93 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Cong Yao 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 Cong Yao 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Cong Yao is affiliated with Alibaba Group (China) and has contributed extensively to research in the fields of computer science and medicine. Their publications span various topics including computer vision, artificial intelligence, and mental health disciplines.

The main fields of study for Cong Yao consist of:

  • Computer Science
  • Medicine

Their research within computer science particularly focuses on subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

In medicine, the subfields include:

  • Psychiatry and Mental Health
  • Biological Psychiatry
  • Epidemiology

Key research topics covered in their work include:

  • Handwritten Text Recognition Techniques
  • Advanced Image and Video Retrieval Techniques
  • Schizophrenia Research and Treatment
  • Image Processing and 3D Reconstruction
  • Image Retrieval and Classification Techniques
  • Natural Language Processing Techniques
  • Tryptophan and Brain Disorders

Cong Yao has published frequently in venues such as:

  • arXiv (Cornell University)
  • Journal of Neural Transmission
  • Journal of Affective Disorders
  • Pattern Recognition
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among Cong Yao's recent publications are the following:

  • Real-Time Scene Text Detection with Differentiable Binarization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Scene Text Detection and Recognition: The Deep Learning Era, 2020, International Journal of Computer Vision
  • Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • TextScanner: Reading Characters in Order for Robust Scene Text Recognition, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SynthText3D: synthesizing scene text images from 3D virtual worlds, 2020, Science China Information Sciences

Frequent collaborators with Cong Yao include:

  • Zhibo Yang
  • Xiang Bai
  • Zhaoyi Wan
  • Guoshuai Luo
  • Meijuan Li

Best Publications

  • An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

    Baoguang Shi;Xiang Bai;Cong Yao

  • EAST: An Efficient and Accurate Scene Text Detector

    Xinyu Zhou;Cong Yao;He Wen;Yuzhi Wang

  • Detecting texts of arbitrary orientations in natural images

    Cong Yao;Xiang Bai;Wenyu Liu;Yi Ma

  • ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

    Baoguang Shi;Mingkun Yang;Xinggang Wang;Pengyuan Lyu

  • Real-Time Scene Text Detection with Differentiable Binarization

    Minghui Liao;Zhaoyi Wan;Cong Yao;Kai Chen

  • Robust Scene Text Recognition with Automatic Rectification

    Baoguang Shi;Xinggang Wang;Pengyuan Lyu;Cong Yao

  • Multi-oriented Text Detection with Fully Convolutional Networks

    Zheng Zhang;Chengquan Zhang;Wei Shen;Cong Yao

  • TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

    Shangbang Long;Jiaqiang Ruan;Wenjie Zhang;Xin He

  • Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

    Pengyuan Lyu;Minghui Liao;Cong Yao;Wenhao Wu

  • Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

    Minghui Liao;Pengyuan Lyu;Minghang He;Cong Yao

  • Scene text detection and recognition: recent advances and future trends

    Yingying Zhu;Cong Yao;Xiang Bai

  • Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

    Unknown

  • Scene Text Detection and Recognition: The Deep Learning Era

    Shangbang Long;Xin He;Cong Yao

  • Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation

    Pengyuan Lyu;Cong Yao;Wenhao Wu;Shuicheng Yan

  • A unified framework for multioriented text detection and recognition.

    Cong Yao;Xiang Bai;Wenyu Liu

  • Strokelets: A Learned Multi-scale Representation for Scene Text Recognition

    Cong Yao;Xiang Bai;Baoguang Shi;Wenyu Liu

  • Symmetry-based text line detection in natural scenes

    Zheng Zhang;Wei Shen;Cong Yao;Xiang Bai

  • Scene Text Recognition from Two-Dimensional Perspective

    Minghui Liao;Jian Zhang;Zhaoyi Wan;Fengming Xie

  • Scene Text Detection via Holistic, Multi-Channel Prediction

    Cong Yao;Xiang Bai;Nong Sang;Xinyu Zhou

  • ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

    Baoguang Shi;Cong Yao;Minghui Liao;Mingkun Yang

  • Scene Text Detection with Supervised Pyramid Context Network

    Enze Xie;Yuhang Zang;Shuai Shao;Gang Yu

Frequent Co-Authors

Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Wenyu Liu
Wenyu Liu Huazhong University of Science and Technology
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Song Bai
Song Bai ByteDance
Kaigui Bian
Kaigui Bian Peking University
Wei Shen
Wei Shen Johns Hopkins University
Yiming Zhang
Yiming Zhang Fuzhou University
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Jiebo Luo
Jiebo Luo University of Rochester
Bin Zhang
Bin Zhang Icahn School of Medicine at Mount Sinai

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