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2025

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Rising Stars

D-Index
44
Citations
18197
World Ranking
476
National Ranking
74

Computer Science

D-Index
44
Citations
17315
World Ranking
7375
National Ranking
3215

Yuke Zhu 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 Yuke Zhu 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: 109 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Yuke Zhu 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 Yuke Zhu 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: 44 D-Index — 48th percentile

48% 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

Yuke Zhu is affiliated with The University of Texas at Austin in the United States. Their research spans multiple areas within computer science and engineering, with a focus on robotics and machine learning applications. They have contributed extensively to topics like robot manipulation and learning, reinforcement learning in robotics, and multimodal machine learning applications.

Their recent publications include:

  • Multi-Stage Learning for Grasp-Constrained Object Manipulation with a Simulated Panda Robot, 2025, arXiv (Cornell University)
  • Foundation models in robotics: Applications, challenges, and the future, 2024, The International Journal of Robotics Research
  • Voyager: An Open-Ended Embodied Agent with Large Language Models, 2023, arXiv (Cornell University)
  • Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Yuke Zhu regularly publishes in the following venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • The International Journal of Robotics Research
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2022 International Conference on Robotics and Automation (ICRA)

Their primary fields of study include computer science and engineering, with significant work in subfields such as:

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

The main research topics covered by Yuke Zhu are:

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

Throughout their career, Yuke Zhu has frequently collaborated with several coauthors, including:

  • Anima Anandkumar
  • Linxi Fan
  • Ajay Mandlekar
  • Guanzhi Wang
  • Yunfan Jiang

Best Publications

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

    Ranjay Krishna;Yuke Zhu;Oliver Groth;Justin Johnson

  • Target-driven visual navigation in indoor scenes using deep reinforcement learning

    Yuke Zhu;Roozbeh Mottaghi;Eric Kolve;Joseph J. Lim

  • Scene Graph Generation by Iterative Message Passing

    Danfei Xu;Yuke Zhu;Christopher B. Choy;Li Fei-Fei

  • DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

    Chen Wang;Danfei Xu;Yuke Zhu;Roberto Martin-Martin

  • Visual7W: Grounded Question Answering in Images

    Yuke Zhu;Oliver Groth;Michael Bernstein;Li Fei-Fei

  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

    Ranjay Krishna;Yuke Zhu;Oliver Groth;Justin Johnson

  • AI2-THOR: An Interactive 3D Environment for Visual AI

    Eric Kolve;Roozbeh Mottaghi;Daniel Gordon;Yuke Zhu

  • Voyager: An Open-Ended Embodied Agent with Large Language Models

    Unknown

  • Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

    Michelle A. Lee;Yuke Zhu;Krishnan Srinivasan;Parth Shah

  • Reinforcement and Imitation Learning for Diverse Visuomotor Skills

    Yuke Zhu;Ziyu Wang;Josh Merel;Andrei A. Rusu

  • Reasoning about Object Affordances in a Knowledge Base Representation

    Yuke Zhu;Alireza Fathi;Li Fei-Fei

  • MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

    Unknown

  • VIMA: General Robot Manipulation with Multimodal Prompts

    Unknown

  • robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

    Yuke Zhu;Josiah Wong;Ajay Mandlekar;Roberto Martín-Martín

  • Learning task-oriented grasping for tool manipulation from simulated self-supervision:

    Kuan Fang;Yuke Zhu;Animesh Garg;Animesh Garg;Andrey Kurenkov

  • Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks

    Michelle A. Lee;Yuke Zhu;Peter Zachares;Matthew Tan

  • Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

    Danfei Xu;Suraj Nair;Yuke Zhu;Julian Gao

  • Visual Semantic Planning Using Deep Successor Representations

    Yuke Zhu;Daniel Gordon;Eric Kolve;Dieter Fox

  • 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints

    Chen Wang;Roberto Martin-Martin;Danfei Xu;Jun Lv

  • Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles

    Unknown

  • Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration

    De-An Huang;Suraj Nair;Danfei Xu;Yuke Zhu

  • Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

    Ajay Mandlekar;Yuke Zhu;Animesh Garg;Li Fei-Fei

  • SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark

    Linxi Fan;Yuke Zhu;Jiren Zhu;Zihua Liu

  • Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

    Zhenyu Jiang;Yifeng Zhu;Maxwell Svetlik;Kuan Fang

Frequent Co-Authors

Li Fei-Fei
Li Fei-Fei Stanford University
Silvio Savarese
Silvio Savarese Stanford University
Animesh Garg
Animesh Garg University of Toronto
Anima Anandkumar
Anima Anandkumar Nvidia (United Kingdom)
Jeannette Bohg
Jeannette Bohg Stanford University
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Ali Farhadi
Ali Farhadi University of Washington
Roozbeh Mottaghi
Roozbeh Mottaghi University of Washington
Michael S. Bernstein
Michael S. Bernstein Stanford University
Peter Stone
Peter Stone The University of Texas at Austin

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