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Computer Science

D-Index
52
Citations
24965
World Ranking
4947
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2300

Shuran Song 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 Shuran Song 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: 91 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Shuran Song 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 Shuran Song 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: 52 D-Index — 65th percentile

65% 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

  • 2025 - Research.com Rising Stars Award

Overview

Shuran Song is affiliated with Stanford University in the United States. Their research spans multiple fields within engineering and computer science with a focus on robotics and machine learning.

The scientist has contributed extensively to academic literature, with publications in prominent venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • The International Journal of Robotics Research
  • IEEE Robotics and Automation Letters
  • Autonomous Robots
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Key topics in Shuran Song's research involve:

  • Robot Manipulation and Learning
  • Multimodal Machine Learning Applications
  • Reinforcement Learning in Robotics
  • Human Pose and Action Recognition
  • Robotic Path Planning Algorithms
  • 3D Shape Modeling and Analysis
  • Domain Adaptation and Few-Shot Learning

Subfields that feature prominently in their work include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Systems Engineering
  • Biomedical Engineering
  • Computational Mechanics

Frequent collaborators in their research efforts are:

  • Eric Cousineau
  • Benjamin Burchfiel
  • Samir Yitzhak Gadre
  • Siyuan Feng
  • Zhenjia Xu

Notable recent publications by Shuran Song include:

  • "ShapeNet: An Information-Rich 3D Model Repository," 2023, Zenodo (CERN European Organization for Nuclear Research)
  • "TossingBot: Learning to Throw Arbitrary Objects With Residual Physics," 2020, IEEE Transactions on Robotics
  • "Diffusion policy: Visuomotor policy learning via action diffusion," 2024, The International Journal of Robotics Research
  • "Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations," 2020, IEEE Robotics and Automation Letters
  • "TidyBot: personalized robot assistance with large language models," 2023, Autonomous Robots

The accumulation of publications shows a consistent concentration on robotic manipulation, computer vision, and learning methods applicable to autonomous systems and human-robot interaction. The venues and topics indicate engagement with both foundational research and applied robotics.

Best Publications

  • 3D ShapeNets: A deep representation for volumetric shapes

    Zhirong Wu;Shuran Song;Aditya Khosla;Fisher Yu

  • ShapeNet: An Information-Rich 3D Model Repository

    Angel X. Chang;Thomas A. Funkhouser;Leonidas J. Guibas;Pat Hanrahan

  • SUN RGB-D: A RGB-D scene understanding benchmark suite

    Shuran Song;Samuel P. Lichtenberg;Jianxiong Xiao

  • LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

    Fisher Yu;Yinda Zhang;Shuran Song;Ari Seff

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Semantic Scene Completion from a Single Depth Image

    Shuran Song;Fisher Yu;Andy Zeng;Angel X. Chang

  • 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions

    Andy Zeng;Shuran Song;Matthias NieBner;Matthew Fisher

  • Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

    Shuran Song;Jianxiong Xiao

  • Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

    He Wang;Srinath Sridhar;Jingwei Huang;Julien Valentin

  • Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning

    Andy Zeng;Shuran Song;Stefan Welker;Johnny Lee

  • Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

    Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

  • Sliding Shapes for 3D Object Detection in Depth Images

    Shuran Song;Jianxiong Xiao

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching:

    Andy Zeng;Shuran Song;Kuan-Ting Yu;Elliott Donlon

  • Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge

    Andy Zeng;Kuan-Ting Yu;Shuran Song;Daniel Suo

  • TossingBot: Learning to Throw Arbitrary Objects With Residual Physics

    Andy Zeng;Shuran Song;Johnny Lee;Alberto Rodriguez

  • Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines

    Shuran Song;Jianxiong Xiao

  • Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

    Yinda Zhang;Shuran Song;Ersin Yumer;Manolis Savva

  • PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding

    Yinda Zhang;Shuran Song;Ping Tan;Jianxiong Xiao

  • TidyBot: Personalized Robot Assistance with Large Language Models

    Unknown

  • 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions

    Andy Zeng;Shuran Song;Matthias Nießner;Matthew Fisher

Frequent Co-Authors

Thomas Funkhouser
Thomas Funkhouser Google (United States)
Jianxiong Xiao
Jianxiong Xiao AutoX, Inc.
Manolis Savva
Manolis Savva Simon Fraser University
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Angel X. Chang
Angel X. Chang Simon Fraser University
Yinda Zhang
Yinda Zhang Google (United States)
Fisher Yu
Fisher Yu ETH Zurich
Hod Lipson
Hod Lipson Columbia University
Jiajun Wu
Jiajun Wu Stanford University

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