World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5990
World Ranking
8937
National Ranking
275

Shoudong Huang 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 Shoudong Huang 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: 214 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Shoudong Huang 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 Shoudong Huang 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Shoudong Huang is affiliated with the University of Technology Sydney in Australia. Their research primarily spans the fields of Engineering and Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Surgery, Electrical and Electronic Engineering, and Biomedical Engineering.

Their scholarly contributions cover a range of topics including Robotics and Sensor-Based Localization, Indoor and Outdoor Localization Technologies, Robotic Path Planning Algorithms, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Medical Image Segmentation Techniques, and Total Knee Arthroplasty Outcomes.

Shoudong Huang has published research in several prominent venues. Frequent publication sources include arXiv (Cornell University), IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, IEEE Transactions on Medical Robotics and Bionics, and IEEE Transactions on Intelligent Transportation Systems.

Recent papers authored or co-authored by Shoudong Huang include:

  • Active SLAM for Mobile Robots With Area Coverage and Obstacle Avoidance, 2020, IEEE/ASME Transactions on Mechatronics
  • IN2LAAMA: Inertial Lidar Localization Autocalibration and Mapping, 2020, IEEE Transactions on Robotics
  • Feature-based visual simultaneous localization and mapping: a survey, 2020, SN Applied Sciences
  • A Template-Based 3D Reconstruction of Colon Structures and Textures From Stereo Colonoscopic Images, 2020, IEEE Transactions on Medical Robotics and Bionics
  • Cramér-Rao Bounds and Optimal Design Metrics for Pose-Graph SLAM, 2021, IEEE Transactions on Robotics

Frequent co-authors collaborating with Shoudong Huang include Liang Zhao, Yue Wang, Yongbo Chen, Rong Xiong, and Zhuqing Zhang.

Best Publications

  • Convergence and Consistency Analysis for Extended Kalman Filter Based SLAM

    Shoudong Huang;Gamini Dissanayake

  • A new crossover approach for solving the multiple travelling salesmen problem using genetic algorithms

    Shuai Yuan;Bradley Skinner;Shoudong Huang;Dikai Liu

  • Convergence and Consistency Analysis for a 3-D Invariant-EKF SLAM

    Teng Zhang;Kanzhi Wu;Jingwei Song;Shoudong Huang

  • A review of recent developments in Simultaneous Localization and Mapping

    Gamini Dissanayake;Shoudong Huang;Zhan Wang;Ravindra Ranasinghe

  • A robust RGB-D SLAM algorithm

    Gibson Hu;Shoudong Huang;Liang Zhao;Alen Alempijevic

  • Active SLAM using Model Predictive Control and Attractor based Exploration

    Cindy Leung;Shoudong Huang;Gamini Dissanayake

  • Sparse Local Submap Joining Filter for Building Large-Scale Maps

    Shoudong Huang;Zhan Wang;G. Dissanayake

  • H∞ model reduction for linear time-delay systems: Continuous-time case

    Shengyuan Xu;James Lam;Shoudong Huang;Chengwu Yang

  • MIS-SLAM: Real-Time Large-Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing

    Jingwei Song;Jun Wang;Liang Zhao;Shoudong Huang

  • Multi-Step Look-Ahead Trajectory Planning in SLAM: Possibility and Necessity

    Shoudong Huang;N.M. Kwok;G. Dissanayake;Q.P. Ha

  • Planning under uncertainty using model predictive control for information gathering

    Cindy Leung;Shoudong Huang;Ngai Ming Kwok;Gamini Dissanayake

  • 3D LiDAR-Based Global Localization Using Siamese Neural Network

    Huan Yin;Yue Wang;Xiaqing Ding;Li Tang

  • L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry

    Yanbiao Sun;Yanbiao Sun;Liang Zhao;Shoudong Huang;Lei Yan

  • Active SLAM for Mobile Robots With Area Coverage and Obstacle Avoidance

    Yongbo Chen;Shoudong Huang;Robert Fitch

  • Optimisation for job scheduling at automated container terminals using genetic algorithm

    Bradley Skinner;Shuai Yuan;Shoudong Huang;Dikai Liu

  • 3D Lidar-IMU Calibration Based on Upsampled Preintegrated Measurements for Motion Distortion Correction

    Cedric Le Gentil;Teresa Vidal-Calleja;Shoudong Huang

  • Deconstruction waste management through 3d reconstruction and bim: a case study

    Xin Janet Ge;Peter Livesey;Jun Wang;Shoudong Huang

  • Convergence analysis for extended Kalman filter based SLAM

    S. Huang;G. Dissanayake

  • An invariant-EKF VINS algorithm for improving consistency

    Kanzhi Wu;Teng Zhang;Daobilige Su;Shoudong Huang

  • How far is SLAM from a linear least squares problem

    Shoudong Huang;Yingwu Lai;Udo Frese;Gamini Dissanayake

  • Active SLAM in structured environments

    C. Leung;Shoudong Huang;G. Dissanayake

  • An Invariant-EKF VINS Algorithm for Improving Consistency

    Teng Zhang;Kanzhi Wu;Daobilige Su;Shoudong Huang

Frequent Co-Authors

Gamini Dissanayake
Gamini Dissanayake University of Technology Sydney
Matthew R. James
Matthew R. James Australian National University
James Lam
James Lam University of Hong Kong
Dragan Nesic
Dragan Nesic University of Melbourne
Ngaiming Kwok
Ngaiming Kwok University of New South Wales
Guang-Hong Yang
Guang-Hong Yang Northeastern University
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Branko G. Celler
Branko G. Celler University of New South Wales
Zhong-Ping Jiang
Zhong-Ping Jiang New York University
Yahya Zweiri
Yahya Zweiri Khalifa University

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