World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
7187
World Ranking
11512
National Ranking
1427

Fei Yin 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 Fei Yin 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Fei Yin 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 Fei Yin 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Fei Yin is affiliated with the Chinese Academy of Sciences in China and specializes in computer science with a focus on computer vision and pattern recognition. Their work spans several subfields including artificial intelligence, media technology, instrumentation, and human-computer interaction.

The main topics covered in Fei Yin's research include:

  • Handwritten Text Recognition Techniques
  • Natural Language Processing Techniques
  • Image Processing and 3D Reconstruction
  • Vehicle License Plate Recognition
  • Advanced Image and Video Retrieval Techniques
  • Topic Modeling
  • Image Retrieval and Classification Techniques

Fei Yin has contributed extensively to several scholarly venues. Frequent publication outlets include:

  • Pattern Recognition
  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • 2022 26th International Conference on Pattern Recognition (ICPR)
  • IEEE Transactions on Multimedia

Significant recent publications by Fei Yin are:

  • "Handwritten Mathematical Expression Recognition via Paired Adversarial Learning," 2020, International Journal of Computer Vision
  • "Wheat ear counting using K-means clustering segmentation and convolutional neural network," 2020, Plant Methods
  • "Offline signature verification using a region based deep metric learning network," 2021, Pattern Recognition
  • "Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition," 2020, Pattern Recognition

Fei Yin frequently collaborates with a core group of researchers. Coauthors with multiple joint works include:

  • Cheng-Lin Liu
  • Xu-Yao Zhang
  • Yan-Ming Zhang
  • Mengbiao Zhao
  • Jin-Wen Wu

Best Publications

  • CASIA Online and Offline Chinese Handwriting Databases

    Cheng-Lin Liu;Fei Yin;Da-Han Wang;Qiu-Feng Wang

  • ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT

    Nibal Nayef;Fei Yin;Imen Bizid;Hyunsoo Choi

  • Robust Classification with Convolutional Prototype Learning

    Hong-Ming Yang;Xu-Yao Zhang;Fei Yin;Cheng-Lin Liu

  • Deep Direct Regression for Multi-oriented Scene Text Detection

    Wenhao He;Xu-Yao Zhang;Fei Yin;Cheng-Lin Liu

  • Drawing and Recognizing Chinese Characters with Recurrent Neural Network

    Xu-Yao Zhang;Fei Yin;Yan-Ming Zhang;Cheng-Lin Liu

  • ICDAR 2013 Chinese Handwriting Recognition Competition

    Fei Yin;Qiu-Feng Wang;Xu-Yao Zhang;Cheng-Lin Liu

  • Online and offline handwritten Chinese character recognition: Benchmarking on new databases

    Cheng-Lin Liu;Fei Yin;Da-Han Wang;Qiu-Feng Wang

  • Prototype Augmentation and Self-Supervision for Incremental Learning

    Fei Zhu;Xu-Yao Zhang;Chuang Wang;Fei Yin

  • ICDAR 2011 Chinese Handwriting Recognition Competition

    Cheng-Lin Liu;Fei Yin;Qiu-Feng Wang;Da-Han Wang

  • Handwritten Chinese text line segmentation by clustering with distance metric learning

    Fei Yin;Cheng-Lin Liu

  • TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting

    Wei Feng;Wenhao He;Fei Yin;Xu-Yao Zhang

  • Handwritten Chinese Text Recognition by Integrating Multiple Contexts

    Qiu-Feng Wang;Fei Yin;Cheng-Lin Liu

  • Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models

    Yi-Chao Wu;Fei Yin;Cheng-Lin Liu

  • Convolutional Prototype Network for Open Set Recognition.

    Hong-Ming Yang;Xu-Yao Zhang;Fei Yin;Qing Yang

  • Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression

    Wenhao He;Xu-Yao Zhang;Fei Yin;Cheng-Lin Liu

  • Handwritten Mathematical Expression Recognition via Paired Adversarial Learning

    Jin-Wen Wu;Fei Yin;Yan-Ming Zhang;Xu-Yao Zhang

  • Scene Text Recognition with Sliding Convolutional Character Models.

    Fei Yin;Yi-Chao Wu;Xu-Yao Zhang;Cheng-Lin Liu

  • Handwritten Chinese Text Recognition Using Separable Multi-Dimensional Recurrent Neural Network

    Yi-Chao Wu;Fei Yin;Zhuo Chen;Cheng-Lin Liu

  • Hybrid Page Segmentation with Efficient Whitespace Rectangles Extraction and Grouping

    Kai Chen;Fei Yin;Cheng-Lin Liu

  • Offline signature verification using a region based deep metric learning network

    Li Liu;Linlin Huang;Fei Yin;Youbin Chen

  • Chinese Handwriting Recognition Contest 2010

    Cheng-Lin Liu;Fei Yin;Da-Han Wang;Qiu-Feng Wang

Frequent Co-Authors

Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Wei Feng
Wei Feng Tianjin University
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences
Ching Y. Suen
Ching Y. Suen Concordia University
Yoshua Bengio
Yoshua Bengio University of Montreal
Umapada Pal
Umapada Pal Indian Statistical Institute
Amir Hussain
Amir Hussain Edinburgh Napier University
Bo Xu
Bo Xu Chinese Academy of Sciences
Errui Ding
Errui Ding Baidu (China)

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