World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
19212
World Ranking
4958
National Ranking
28

Shengcai Liao 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 Shengcai Liao 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: 140 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.

Shengcai Liao 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 Shengcai Liao 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Shengcai Liao is affiliated with the Inception Institute of Artificial Intelligence in the United Arab Emirates. Their research primarily focuses on computer science and engineering, with significant contributions in the subfields of computer vision and pattern recognition, artificial intelligence, biomedical engineering, electrical and electronic engineering, and control and systems engineering.

The main research topics covered by Liao include:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Face Recognition and Analysis
  • Domain Adaptation and Few-Shot Learning
  • Gait Recognition and Analysis
  • Human Pose and Action Recognition
  • Advanced Image and Video Retrieval Techniques

Liao has published extensively, with a notable presence in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

Several recent papers authored or co-authored by Liao include:

  • "Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution," 2020, Proceedings of the AAAI Conference on Artificial Intelligence (authored by Lei Zhang, co-author context)
  • "Attentive WaveBlock: Complementarity-Enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-Identification and Beyond," 2022, IEEE Transactions on Image Processing (authored by W. Wang, co-author context)
  • "Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection," 2022, Pattern Recognition (authored by Wei Liu, co-author context)
  • "Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (authored by Fang Zhao, co-author context)

Frequent collaborators with Liao include Ling Shao, Jinpeng Li, Jie Qin, Yichao Yan, and Fang Zhao.

Best Publications

  • Person re-identification by Local Maximal Occurrence representation and metric learning

    Shengcai Liao;Yang Hu;Xiangyu Zhu;Stan Z. Li

  • Learning Face Representation from Scratch

    Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

  • Deep Metric Learning for Person Re-identification

    Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li

  • Learning multi-scale block local binary patterns for face recognition

    Shengcai Liao;Xiangxin Zhu;Zhen Lei;Lun Zhang

  • Illumination Invariant Face Recognition Using Near-Infrared Images

    S.Z. Li;RuFeng Chu;ShengCai Liao;Lun Zhang

  • Face detection based on multi-block LBP representation

    Lun Zhang;Rufeng Chu;Shiming Xiang;Shengcai Liao

  • Salient Color Names for Person Re-identification

    Yang Yang;Jimei Yang;Junjie Yan;Shengcai Liao

  • Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes

    Shengcai Liao;Guoying Zhao;Vili Kellokumpu;Matti Pietikainen

  • Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification

    Shengcai Liao;Stan Z. Li

  • High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection

    Wei Liu;Shengcai Liao;Weiqiang Ren;Weidong Hu

  • Partial Face Recognition: Alignment-Free Approach

    Shengcai Liao;A. K. Jain;S. Z. Li

  • A Fast and Accurate Unconstrained Face Detector

    Shengcai Liao;Anil K. Jain;Stan Z. Li

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Partial face recognition: An alignment free approach

    Shengcai Liao;Anil K. Jain

  • The CASIA NIR-VIS 2.0 Face Database

    Stan Z. Li;Dong Yi;Zhen Lei;Shengcai Liao

  • Embedding Deep Metric for Person Re-identification: A Study Against Large Variations

    Hailin Shi;Yang Yang;Xiangyu Zhu;Shengcai Liao

  • Partial Person Re-Identification

    Wei-Shi Zheng;Xiang Li;Tao Xiang;Shengcai Liao

  • Face liveness detection with component dependent descriptor

    Jianwei Yang;Zhen Lei;Shengcai Liao;Stan Z. Li

  • Learning Efficient Single-Stage Pedestrian Detectors by Asymptotic Localization Fitting

    Wei Liu;Shengcai Liao;Weidong Hu;Xuezhi Liang

  • Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval

    Cuicui Kang;Shiming Xiang;Shengcai Liao;Changsheng Xu

  • Embedding Deep Metric for Person Re-identication A Study Against Large Variations

    Hailin Shi;Yang Yang;Xiangyu Zhu;Shengcai Liao

Frequent Co-Authors

Stan Z. Li
Stan Z. Li Westlake University
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Ling Shao
Ling Shao Terminus International
Dong Yi
Dong Yi Winsense Co., Ltd.
Ran He
Ran He Chinese Academy of Sciences
Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Chunhong Pan
Chunhong Pan Chinese Academy of Sciences
Anil K. Jain
Anil K. Jain Michigan State University
Wei-Shi Zheng
Wei-Shi Zheng Sun Yat-sen University
Wei Liu
Wei Liu Tencent (China)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a computer science degree in the USA opens many doors, including flexible online options. If you’re concerned about academic history, finding a college with low gpa requirements can make starting your journey easier. These programs welcome students who may not meet traditional criteria, making higher education more accessible.

Online degrees in computer science are also available in various formats, including online computer science degree programs that offer accelerated timelines. Accelerated paths help you graduate faster and enter the workforce sooner, giving you a competitive edge in technology-driven fields.

With a tech background, your career options extend beyond programming roles. For example, those interested in sustainability may ask, what can i do with an environmental science degree? The answer includes roles in research, consulting, and policy.

Engineering is another exciting field. Earning an environmental engineering online degree provides specialized skills for addressing today’s ecological challenges, while also benefiting from flexible study options.

Best Scientists Citing Shengcai Liao

Trending Scientists