World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7396
World Ranking
10109
National Ranking
92

Shao-Yi Chien 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 Shao-Yi Chien 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: 354 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Shao-Yi Chien 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 Shao-Yi Chien 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Shao-Yi Chien is affiliated with National Taiwan University in Taiwan and has produced a significant body of research primarily in the field of Computer Science. Their work spans several subfields, with a focus on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Media Technology, and Social Psychology.

The main topics addressed in their research include:

  • Advanced Neural Network Applications
  • Advanced Image Processing Techniques
  • Video Surveillance and Tracking Methods
  • Image and Signal Denoising Methods
  • Image Enhancement Techniques
  • Gaze Tracking and Assistive Technology
  • Human Pose and Action Recognition

Chien has published numerous papers, with a notable presence in both peer-reviewed conferences and journals. Some recent publications include:

  • "Assessing Perceptual Load and Cognitive Load by Fixation-Related Information of Eye Movements," Sensors, 2022
  • "FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition," Proceedings of the AAAI Conference on Artificial Intelligence, 2022
  • "Incremental False Negative Detection for Contrastive Learning," arXiv (Cornell University), 2021
  • "Two-Way Recursive Filtering," IEEE Transactions on Circuits and Systems for Video Technology, 2021
  • "Online-trained Upsampler for Deep Low Complexity Video Compression," 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Their most frequent co-authors include Chih-Ting Liu, Tsai-Shien Chen, Ming-Hsuan Yang, Pin-Hung Kuo, and Jan P. Klopp, reflecting collaborations across a range of projects and topics.

Chien's work has appeared frequently in the following publication venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Sensors
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Best Publications

  • Efficient moving object segmentation algorithm using background registration technique

    Shao-Yi Chien;Shyh-Yih Ma;Liang-Gee Chen

  • Analysis and architecture design of an HDTV720p 30 frames/s H.264/AVC encoder

    Tung-Chien Chen;Shao-Yi Chien;Yu-Wen Huang;Chen-Han Tsai

  • Analysis and architecture design of variable block-size motion estimation for H.264/AVC

    Ching-Yeh Chen;Shao-Yi Chien;Yu-Wen Huang;Tung-Chien Chen

  • Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders

    Hsin-Tien Chiang;Yi-Yen Hsieh;Szu-Wei Fu;Kuo-Hsuan Hung

  • Real-Time Salient Object Detection with a Minimum Spanning Tree

    Wei-Chih Tu;Shengfeng He;Qingxiong Yang;Shao-Yi Chien

  • Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC

    Yu-Wen Huang;Bing-Yu Hsieh;Shao-Yi Chien;Shyh-Yih Ma

  • Fast image segmentation based on K-Means clustering with histograms in HSV color space

    Tse-Wei Chen;Yi-Ling Chen;Shao-Yi Chien

  • Fast video segmentation algorithm with shadow cancellation, global motion compensation, and adaptive threshold techniques

    Shao-Yi Chien;Yu-Wen Huang;Bing-Yu Hsieh;Shyh-Yih Ma

  • Predictive watershed: a fast watershed algorithm for video segmentation

    Shao-Yi Chien;Yu-Wen Huang;Liang-Gee Chen

  • Fast Algorithm and Architecture Design of Low-Power Integer Motion Estimation for H.264/AVC

    Tung-Chien Chen;Yu-Han Chen;Sung-Fang Tsai;Shao-Yi Chien

  • Learning Superpixels with Segmentation-Aware Affinity Loss

    Wei-Chih Tu;Ming-Yu Liu;Varun Jampani;Deqing Sun

  • Global elimination algorithm and architecture design for fast block matching motion estimation

    Yu-Wen Huang;Shao-Yi Chien;Bing-Yu Hsieh;Liang-Gee Chen

  • Analysis and reduction of reference frames for motion estimation in MPEG-4 AVC/JVT/H.264

    Yu-Wen Huang;Bing-Yu Hsieh;Tu-Chih Wang;Shao-Yi Chient

  • On-Line Multi-View Video Summarization for Wireless Video Sensor Network

    Shun-Hsing Ou;Chia-Han Lee;V. Srinivasa Somayazulu;Yen-Kuang Chen

  • Content-aware image resizing using perceptual seam carving with human attention model

    Daw-Sen Hwang;Shao-Yi Chien

  • A 212 MPixels/s 4096 $ imes$ 2160p Multiview Video Encoder Chip for 3D/Quad Full HDTV Applications

    Li-Fu Ding;Wei-Yin Chen;Pei-Kuei Tsung;Tzu-Der Chuang

  • Learning to Compose with Professional Photographs on the Web

    Yi-Ling Chen;Jan Klopp;Min Sun;Shao-Yi Chien

  • Depth Map Generation for 2D-to-3D Conversion by Short-Term Motion Assisted Color Segmentation

    Yu-Lin Chang;Chih-Ying Fang;Li-Fu Ding;Shao-Yi Chen

  • Scenic photo quality assessment with bag of aesthetics-preserving features

    Hsiao-Hang Su;Tse-Wei Chen;Chieh-Chi Kao;Winston H. Hsu

  • Orientation-Aware Vehicle Re-Identification with Semantics-Guided Part Attention Network

    Tsai-Shien Chen;Chih-Ting Liu;Chih-Wei Wu;Shao-Yi Chien

  • CRISP: Coarse-Grained Reconfigurable Image Stream Processor for Digital Still Cameras and Camcorders

    J.C. Chen;Shao-Yi Chien

Frequent Co-Authors

Liang-Gee Chen
Liang-Gee Chen National Taiwan University
Yu-Wen Huang
Yu-Wen Huang MediaTek (Taiwan)
Yen-Kuang Chen
Yen-Kuang Chen Alibaba Group (China)
Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Yu-Chiang Frank Wang
Yu-Chiang Frank Wang National Taiwan University
Winston H. Hsu
Winston H. Hsu National Taiwan University
Kwan-Liu Ma
Kwan-Liu Ma University of California, Davis
Yao-Wen Chang
Yao-Wen Chang National Taiwan University
Yi-Ping Hung
Yi-Ping Hung National Taiwan University

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