World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
3807
World Ranking
13707
National Ranking
1663

Yixin 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 Yixin 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: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Yixin 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 Yixin 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: 31 D-Index — 6th percentile

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

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

Overview

Yixin Zhu is a researcher affiliated with Peking University in China. Their work spans multiple fields within computer science and engineering, particularly focusing on areas that intersect artificial intelligence, computer vision, and neural engineering.

Their research output includes 128 publications in computer science and 99 in engineering. Key subfields of study include artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, control and systems engineering, and cognitive neuroscience.

Yixin Zhu's research covers several main topics, including advanced memory and neural computing, robot manipulation and learning, human pose and action recognition, multimodal machine learning applications, photoreceptor and optogenetics research, neural dynamics and brain function, and neuroscience and neural engineering.

Among their recent papers are:

  • "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds," 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "A Photoelectric Spiking Neuron for Visual Depth Perception," 2022, published in Advanced Materials
  • "Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense," 2020, published in Engineering
  • "Vertically integrated spiking cone photoreceptor arrays for color perception," 2023, published in Nature Communications
  • "A massively parallel and scalable multi-GPU material point method," 2020, published in ACM Transactions on Graphics

Yixin Zhu frequently collaborates with a range of coauthors, including Song-Chun Zhu, Hangxin Liu, Changjin Wan, Siyuan Huang, and Huiwu Mao.

Their publications often appear in prominent venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, IEEE Electron Device Letters, Applied Physics Letters, and the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Best Publications

  • A moving least squares material point method with displacement discontinuity and two-way rigid body coupling

    Yuanming Hu;Yu Fang;Ziheng Ge;Ziyin Qu

  • RAVEN: A Dataset for Relational and Analogical Visual REasoNing

    Chi Zhang;Feng Gao;Baoxiong Jia;Yixin Zhu

  • Understanding tools: Task-oriented object modeling, learning and recognition

    Yixin Zhu;Yibiao Zhao;Song-Chun Zhu

  • Spatio-Temporal Self-Supervised Representation Learning for 3D Point Clouds

    Siyuan Huang;Yichen Xie;Song-Chun Zhu;Yixin Zhu

  • Human-Centric Indoor Scene Synthesis Using Stochastic Grammar

    Siyuan Qi;Yixin Zhu;Siyuan Huang;Chenfanfu Jiang

  • Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

    Siyuan Huang;Siyuan Qi;Yixin Zhu;Yinxue Xiao

  • A tale of two explanations: Enhancing human trust by explaining robot behavior

    Mark Edmonds;Feng Gao;Hangxin Liu;Xu Xie

  • Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense

    Yixin Chen;Siyuan Huang;Tao Yuan;Yixin Zhu

  • Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars

    Chenfanfu Jiang;Siyuan Qi;Yixin Zhu;Siyuan Huang

  • Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

    Yixin Zhu;Tao Gao;Lifeng Fan;Siyuan Huang

  • Inferring Forces and Learning Human Utilities from Videos

    Yixin Zhu;Chenfanfu Jiang;Yibiao Zhao;Demetri Terzopoulos

  • Classification of Lung Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies

    Xingjian Yan;Jianing Pang;Hang Qi;Yixin Zhu

  • Interactive Robot Knowledge Patching Using Augmented Reality

    Hangxin Liu;Yaofang Zhang;Wenwen Si;Xu Xie

  • Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures using Differentiable Force Closure Estimator

    Tengyu Liu;Zeyu Liu;Ziyuan Jiao;Yixin Zhu

  • Dr. Android and Mr. Hide: Fine-grained security policies on unmodified Android

    Jinseong Jeon;Kristopher K. Micinski;Jeffrey A. Vaughan;Nikhilesh Reddy

  • A massively parallel and scalable multi-GPU material point method

    Xinlei Wang;Yuxing Qiu;Stuart R. Slattery;Yu Fang

  • Learning Perceptual Inference by Contrasting

    Chi Zhang;Baoxiong Jia;Feng Gao;Yixin Zhu

  • High-Fidelity Grasping in Virtual Reality using a Glove-based System

    Hangxin Liu;Zhenliang Zhang;Xu Xie;Yixin Zhu

  • Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles

    Mark Edmonds;Feng Gao;Xu Xie;Hangxin Liu

  • Latent Diffusion Energy-Based Model for Interpretable Text Modeling

    Unknown

  • Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

    Siyuan Huang;Siyuan Qi;Yinxue Xiao;Yixin Zhu

  • Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution

    Chi Zhang;Baoxiong Jia;Song-Chun Zhu;Yixin Zhu

  • Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense

    Yixin Chen;Siyuan Huang;Tao Yuan;Siyuan Qi

Frequent Co-Authors

Song-Chun Zhu
Song-Chun Zhu Peking University
Ying Nian Wu
Ying Nian Wu University of California, Los Angeles
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Todd Millstein
Todd Millstein University of California, Los Angeles
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Jeffrey S. Foster
Jeffrey S. Foster Tufts University

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