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Computer Science
Finland
2026

D-Index & Metrics

Computer Science

D-Index
83
Citations
29876
World Ranking
897
National Ranking
3

Guoying Zhao 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 Guoying Zhao 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: 323 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Guoying Zhao 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 Guoying Zhao 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: 83 D-Index — 94th percentile

94% 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 Finland Leader Award
  • 2025 - Research.com Computer Science in Finland Leader Award
  • 2022 - Research.com Computer Science in Finland Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to video analysis and affective computing

Overview

Guoying Zhao is affiliated with the University of Oulu in Finland. Their research primarily concentrates in the field of Computer Science, with particular focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, and Biomedical Engineering.

The main topics Guoying Zhao works on cover several areas related to visual and physiological data analysis. These include:

  • Face recognition and analysis
  • Emotion and Mood Recognition
  • Human Pose and Action Recognition
  • Biometric Identification and Security
  • Non-Invasive Vital Sign Monitoring
  • Anomaly Detection Techniques and Applications
  • Heart Rate Variability and Autonomic Control

Zhao has published extensively in a variety of academic venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • SSRN Electronic Journal
  • IEEE Signal Processing Letters
  • Optik

Recent papers authored or co-authored by Guoying Zhao highlight their involvement in studies related to human action recognition, facial video analysis, and anti-spoofing methods, such as:

  • Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition (2020), IEEE Transactions on Image Processing
  • Deep Learning for Face Anti-Spoofing: A Survey (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist collaborates frequently with a group of co-authors, including:

  • Zitong Yu
  • Xiaobai Li
  • Wei Peng
  • Haoyu Chen
  • Yante Li

Guoying Zhao was awarded the title of Fellow of the International Association for Pattern Recognition (IAPR) in 2020, recognized for contributions to video analysis and affective computing.

Best Publications

  • Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions

    Guoying Zhao;M. Pietikainen

  • WLD: A Robust Local Image Descriptor

    Jie Chen;Shiguang Shan;Chu He;Guoying Zhao

  • CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation

    Wen-Jing Yan;Xiaobai Li;Su-Jing Wang;Guoying Zhao

  • Computer Vision Using Local Binary Patterns

    Matti Pietikinen;Abdenour Hadid;Guoying Zhao;Timo Ahonen

  • Facial expression recognition from near-infrared videos

    Guoying Zhao;Xiaohua Huang;Matti Taini;Stan Z. Li

  • A Spontaneous Micro-expression Database: Inducement, collection and baseline

    Xiaobai Li;Tomas Pfister;Xiaohua Huang;Guoying Zhao

  • Remote Heart Rate Measurement from Face Videos under Realistic Situations

    Xiaobai Li;Jie Chen;Guoying Zhao;Matti Pietikäinen

  • Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods

    Xiaobai Li;Xiaopeng Hong;Antti Moilanen;Xiaohua Huang

  • Searching Central Difference Convolutional Networks for Face Anti-Spoofing

    Zitong Yu;Chenxu Zhao;Zezheng Wang;Yunxiao Qin

  • Local Binary Patterns for Still Images

    Matti Pietikäinen;Abdenour Hadid;Guoying Zhao;Timo Ahonen

  • A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition

    Yong-Jin Liu;Jin-Kai Zhang;Wen-Jing Yan;Su-Jing Wang

  • Recognising spontaneous facial micro-expressions

    Tomas Pfister;Xiaobai Li;Guoying Zhao;Matti Pietikainen

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

    Shengcai Liao;Guoying Zhao;Vili Kellokumpu;Matti Pietikainen

  • Rotation-Invariant Image and Video Description With Local Binary Pattern Features

    Guoying Zhao;T. Ahonen;J. Matas;M. Pietikainen

  • Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

    Dimitrios Kollias;Panagiotis Tzirakis;Mihalis A. Nicolaou;Athanasios Papaioannou

  • Lipreading With Local Spatiotemporal Descriptors

    Guoying Zhao;M. Barnard;M. Pietikainen

  • From BoW to CNN: Two Decades of Texture Representation for Texture Classification

    Li Liu;Li Liu;Jie Chen;Paul W. Fieguth;Guoying Zhao

  • Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching

    Wei Peng;Xiaopeng Hong;Haoyu Chen;Guoying Zhao

  • Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement

    Zitong Yu;Wei Peng;Xiaobai Li;Xiaopeng Hong

  • Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns

    Xiaohua Huang;Guoying Zhao;Xiaopeng Hong;Wenming Zheng

  • Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge

    Stefanos Zafeiriou;Dimitrios Kollias;Mihalis A. Nicolaou;Athanasios Papaioannou

Frequent Co-Authors

Matti Pietikäinen
Matti Pietikäinen University of Oulu
Wenming Zheng
Wenming Zheng Southeast University
Abdenour Hadid
Abdenour Hadid University of Oulu
Yuan Zong
Yuan Zong Northeastern University
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Paul Fieguth
Paul Fieguth University of Waterloo
Stefanos Zafeiriou
Stefanos Zafeiriou Imperial College London
Xiaolan Fu
Xiaolan Fu Chinese Academy of Sciences
Stan Z. Li
Stan Z. Li Westlake University
Tomas Pfister
Tomas Pfister Google (United States)

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