World's Best Scientists 2026 revealed!
Hong-Yuan Mark Liao

Hong-Yuan Mark Liao

D-Index & Metrics

Computer Science

D-Index
51
Citations
38645
World Ranking
5189
National Ranking
38

Hong-Yuan Mark 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 Hong-Yuan Mark 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: 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: 246 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Hong-Yuan Mark 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 Hong-Yuan Mark Liao 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Hong-Yuan Mark Liao is affiliated with Academia Sinica in Taiwan and specializes in the field of Computer Science with a focus on various subfields including Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Industrial and Manufacturing Engineering, and Signal Processing.

Their research topics cover multiple areas within advanced neural network applications and AI-driven medical diagnostic techniques. Key areas of work include:

  • Advanced Neural Network Applications
  • COVID-19 diagnosis using AI
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Industrial Vision Systems and Defect Detection
  • Video Analysis and Summarization
  • Neural Networks and Applications

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • APSIPA Transactions on Signal and Information Processing
  • IEEE Access
  • Journal of Medical Imaging

Notable papers authored or co-authored by Hong-Yuan Mark Liao are:

  • "YOLOv4: Optimal Speed and Accuracy of Object Detection" (2020, arXiv (Cornell University))
  • "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors" (2022, arXiv (Cornell University))
  • "You Only Learn One Representation: Unified Network for Multiple Tasks" (2021, arXiv (Cornell University))
  • "YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information" (2024, arXiv (Cornell University))
  • "Designing Network Design Strategies Through Gradient Path Analysis" (2022, arXiv (Cornell University))

Throughout their research career, the scientist has collaborated frequently with co-authors including:

  • Chien-Yao Wang
  • I-Hau Yeh
  • Wen-Li Wei
  • Tyng-Luh Liu
  • Alexey Bochkovskiy

Best Publications

  • YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

    Unknown

  • YOLOv4: Optimal Speed and Accuracy of Object Detection

    Alexey Bochkovskiy;Chien-Yao Wang;Hong-Yuan Mark Liao

  • CSPNet: A New Backbone that can Enhance Learning Capability of CNN

    Chien-Yao Wang;Hong-Yuan Mark Liao;Yueh-Hua Wu;Ping-Yang Chen

  • A new LDA-based face recognition system which can solve the small sample size problem

    Li-Fen Chen;Hong-Yuan Mark Liao;Ming-Tat Ko;Ja-Chen Lin

  • Scaled-YOLOv4: Scaling Cross Stage Partial Network

    Chien-Yao Wang;Alexey Bochkovskiy;Hong-Yuan Mark Liao

  • Multipurpose watermarking for image authentication and protection

    Chun-Shien Lu;H.-Y.M. Liao

  • Structural digital signature for image authentication: an incidental distortion resistant scheme

    Chun-Shien Lu;H.-Y.M. Liao

  • You Only Learn One Representation: Unified Network for Multiple Tasks.

    Chien-Yao Wang;I-Hau Yeh;Hong-Yuan Mark Liao

  • A new LDA-based face recognition system which can solve the small sample size problem

    Li Fen Chen;Hong Yuan Mark Liao;Ming Tat Ko;Chih-Ching Lin

  • CSPNet: A New Backbone that can Enhance Learning Capability of CNN.

    Chien-Yao Wang;Hong-Yuan Mark Liao;I-Hau Yeh;Yueh-Hua Wu

  • Cocktail watermarking for digital image protection

    Chun-Shien Lu;Shih-Kun Huang;Chwen-Jye Sze;Hong-Yuan Mark Liao

  • Facial feature detection using geometrical face model: An efficient approach

    Shi-Hong Jeng;Hong Yuan Mark Liao;Hong Yuan Mark Liao;Chin Chuan Han;Ming Yang Chern

  • Fast face detection via morphology-based pre-processing ☆

    Chin-Chuan Han;Hong-Yuan Mark Liao;Gwo-Jong Yu;Liang-Hua Chen

  • Image Registration Using a New Edge-Based Approach

    Jun-Wei Hsieh;Hong-Yuan Mark Liao;Kuo-Chin Fan;Ming-Tat Ko

  • Wavelet-Based Off-Line Handwritten Signature Verification

    Peter Shaohua Deng;Hong-Yuan Mark Liao;Chin Wen Ho;Hsiao-Rong Tyan

  • Simultaneous Tensor Decomposition and Completion Using Factor Priors

    Yi-Lei Chen;Chiou-Ting Hsu;Hong-Yuan Mark Liao

  • Personalized travel recommendation by mining people attributes from community-contributed photos

    An-Jung Cheng;Yan-Ying Chen;Yen-Ta Huang;Winston H. Hsu

  • Pedestrian Detection and Tracking at Crossroads

    Chia Jung Pai;Hsiao Rong Tyan;Yu Ming Liang;Hong Yuan Mark Liao

  • An efficient expanding block algorithm for image copy-move forgery detection

    Gavin Lynch;Frank Y. Shih;Hong-Yuan Mark Liao

  • Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

    Unknown

  • Video-Based Human Movement Analysis and Its Application to Surveillance Systems

    Jun-Wei Hsieh;Yung-Tai Hsu;H.-Y.M. Liao;Chih-Chiang Chen

  • Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof

    Li-Fen Chen;Hong-Yuan Mark Liao;Ja-Chen Lin;Chin-Chuan Han

  • Video stabilization for a camcorder mounted on a moving vehicle

    Yu-Ming Liang;Hsiao-Rong Tyan;Shyang-Lih Chang;H.-Y.M. Liao

Frequent Co-Authors

Chun-Shien Lu
Chun-Shien Lu Academia Sinica
Chia-Wen Lin
Chia-Wen Lin National Tsing Hua University
Kuo-Chin Fan
Kuo-Chin Fan National Central University
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Winston H. Hsu
Winston H. Hsu National Taiwan University
Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University
Hanzi Wang
Hanzi Wang Xiamen University
Tsung-Yi Lin
Tsung-Yi Lin Nvidia (United States)
Wen-Hsiang Tsai
Wen-Hsiang Tsai National Yang Ming Chiao Tung University
Jang-Ping Sheu
Jang-Ping Sheu National Tsing Hua University

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