World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
6773
World Ranking
7975
National Ranking
1423

Sai-Kit Yeung publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Sai-Kit Yeung sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 173 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Sai-Kit Yeung D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Sai-Kit Yeung sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 38 D-Index — 20th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Sai-Kit Yeung is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition. Other areas of contribution include Computational Mechanics, Aerospace Engineering, Artificial Intelligence, and Computer Graphics and Computer-Aided Design.

The main research topics addressed by Sai-Kit Yeung reflect an emphasis on both theoretical and applied aspects of visual computing and robotics. These topics include 3D Shape Modeling and Analysis, Advanced Vision and Imaging, Computer Graphics and Visualization Techniques, Robotics and Sensor-Based Localization, Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, as well as 3D Surveying and Cultural Heritage.

Frequent co-authors in Sai-Kit Yeung's body of work include Binh-Son Hua, Huajian Huang, Tuan-Anh Vu, Yingshu Chen, and Duc Thanh Nguyen, indicating an active collaborative research network.

Sai-Kit Yeung has contributed to various academic venues, predominantly publishing in arXiv (Cornell University) with 35 entries. Other notable venues include the International Journal of Computer Vision, the 2022 International Conference on Robotics and Automation (ICRA), ACM Transactions on Graphics, and IEEE Transactions on Circuits and Systems for Video Technology.

Recent publications by Sai-Kit Yeung feature multiple topics within computer vision and robotics, including:

  • RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning, 2022, International Journal of Computer Vision
  • 360VO: Visual Odometry Using A Single 360 Camera, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval, 2023, IEEE Transactions on Circuits and Systems for Video Technology
  • Real-time GAN-based image enhancement for robust underwater monocular SLAM, 2023, Frontiers in Marine Science
  • KnitKit, 2021, ACM Transactions on Graphics

Best Publications

  • GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence

    Jiawang Bian;Wen-Yan Lin;Yasuyuki Matsushita;Sai-Kit Yeung

  • Pointwise Convolutional Neural Networks

    Binh-Son Hua;Minh-Khoi Tran;Sai-Kit Yeung

  • Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

    Mikaela Angelina Uy;Quang-Hieu Pham;Binh-Son Hua;Thanh Nguyen

  • ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics

    Zhiyuan Zhang;Binh-Son Hua;Sai-Kit Yeung

  • GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence

    Jia-Wang Bian;Wen-Yan Lin;Yun Liu;Le Zhang

  • Make it home: automatic optimization of furniture arrangement

    Lap-Fai Yu;Sai-Kit Yeung;Chi-Keung Tang;Demetri Terzopoulos

  • SceneNN: A Scene Meshes Dataset with aNNotations

    Binh-Son Hua;Quang-Hieu Pham;Duc Thanh Nguyen;Minh-Khoi Tran

  • Make it home

    Unknown

  • A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo

    Boxin Shi;Zhe Wu;Zhipeng Mo;Dinglong Duan

  • JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields

    Quang-Hieu Pham;Thanh Nguyen;Binh-Son Hua;Gemma Roig

  • A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo

    Boxin Shi;Zhipeng Mo;Zhe Wu;Dinglong Duan

  • Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

    Zhiyuan Zhang;Binh-Son Hua;David W. Rosen;Sai-Kit Yeung

  • Shading-Based Shape Refinement of RGB-D Images

    Lap-Fai Yu;Sai-Kit Yeung;Yu-Wing Tai;Stephen Lin

  • CODE: Coherence Based Decision Boundaries for Feature Correspondence

    Wen-Yan Lin;Fan Wang;Ming-Ming Cheng;Sai-Kit Yeung

  • Photo-SLAM: Real-Time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras

    Unknown

  • Isogeometric collocation methods for Cosserat rods and rod structures

    Oliver Weeger;Sai-Kit Yeung;Martin L. Dunn

  • A Field Model for Repairing 3D Shapes

    Duc Thanh Nguyen;Binh-Son Hua;Minh-Khoi Tran;Quang-Hieu Pham

  • Crowd-driven mid-scale layout design

    Tian Feng;Lap-Fai Yu;Sai-Kit Yeung;KangKang Yin

  • Digital design and nonlinear simulation for additive manufacturing of soft lattice structures

    Oliver Weeger;Narasimha G. Boddeti;Sai Kit Yeung;Sawako Kaijima

  • Unbounded High Dynamic Range Photography Using a Modulo Camera

    Hang Zhao;Boxin Shi;Christy Fernandez-Cull;Sai-Kit Yeung

  • Language-driven synthesis of 3D scenes from scene databases

    Rui Ma;Akshay Gadi Patil;Matthew Fisher;Manyi Li

  • Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes

    Quang-Hieu Pham;Binh-Son Hua;Thanh Nguyen;Sai-Kit Yeung

  • Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

    Mikaela Angelina Uy;Quang-Hieu Pham;Binh-Son Hua;Duc Thanh Nguyen

Frequent Co-Authors

Chi-Keung Tang
Chi-Keung Tang Hong Kong University of Science and Technology
Boxin Shi
Boxin Shi Peking University
Tony F. Chan
Tony F. Chan University of California, Los Angeles
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Ping Tan
Ping Tan Simon Fraser University
Chi-Wing Fu
Chi-Wing Fu Chinese University of Hong Kong
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Stanley Osher
Stanley Osher University of California, Los Angeles

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