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2025

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Rising Stars

D-Index
39
Citations
11188
World Ranking
679
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102

Computer Science

D-Index
38
Citations
10546
World Ranking
9987
National Ranking
4207

Yinda Zhang 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 Yinda Zhang 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: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Yinda Zhang 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 Yinda Zhang 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: 38 D-Index — 30th percentile

30% 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

Yinda Zhang is affiliated with Google in the United States and has contributed extensively to the fields of Computer Science and Engineering, with a primary focus on Computer Vision and Pattern Recognition, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

Their research work spans several main topics, including:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Optical Measurement and Interference Techniques
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis

Zhang has published numerous papers, with notable recent works such as:

  • Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Pixel2Mesh: 3D Mesh Model Generation via Image Guided Deformation, 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • On-off sketch, 2020, published in Proceedings of the VLDB Endowment
  • Multiresolution Deep Implicit Functions for 3D Shape Representation, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Yinda Zhang frequently collaborates with a group of coauthors, including Zhaopeng Cui, Yanwei Fu, Sean Fanello, Xiangyang Xue, and Hujun Bao.

The main venues where Zhang's work is published include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • Proceedings of the VLDB Endowment

Best Publications

  • 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

  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

    Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu

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

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Multi-Level Semantic Feature Augmentation for One-Shot Learning

    Zitian Chen;Yanwei Fu;Yinda Zhang;Yu-Gang Jiang

  • Deep Depth Completion of a Single RGB-D Image

    Yinda Zhang;Thomas Funkhouser

  • DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image

    Jiaxiong Qiu;Zhaopeng Cui;Yinda Zhang;Xingdi Zhang

  • TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking.

    Pingmei Xu;Krista A. Ehinger;Yinda Zhang;Adam Finkelstein

  • 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

  • DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing

    Shaohui Liu;Yinda Zhang;Songyou Peng;Boxin Shi

  • Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

    Chao Wen;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

    Vladimir Tankovich;Christian Hane;Yinda Zhang;Adarsh Kowdle

  • Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

    Bangbang Yang;Yinda Zhang;Yinghao Xu;Yijin Li

  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

    Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • CocoSketch: high-performance sketch-based measurement over arbitrary partial key query

    Yinda Zhang;Zaoxing Liu;Ruixin Wang;Tong Yang

  • ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

    Yinda Zhang;Yinda Zhang;Sameh Khamis;Christoph Rhemann;Julien P. C. Valentin

  • Joint Hand Detection and Rotation Estimation Using CNN

    Xiaoming Deng;Yinda Zhang;Shuo Yang;Ping Tan

  • Holistic 3D Scene Understanding from a Single Image with Implicit Representation

    Cheng Zhang;Zhaopeng Cui;Yinda Zhang;Bing Zeng

  • Hand3D: Hand Pose Estimation using 3D Neural Network.

    Xiaoming Deng;Shuo Yang;Yinda Zhang;Ping Tan

  • NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

    Unknown

  • NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing

    Unknown

  • HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

    Vladimir Tankovich;Christian Häne;Sean Fanello;Yinda Zhang

  • ActiveStereoNet: Unsupervised End-to-End Learning for Active Stereo Systems

    Yinda Zhang;Sameh Khamis;Christoph Rhemann;Julien Valentin

Frequent Co-Authors

Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
Yanwei Fu
Yanwei Fu Fudan University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Shahram Izadi
Shahram Izadi Google (United States)
Xiangyang Xue
Xiangyang Xue Fudan University
Ping Tan
Ping Tan Simon Fraser University
Bing Zeng
Bing Zeng University of Electronic Science and Technology of China
Shuaicheng Liu
Shuaicheng Liu University of Electronic Science and Technology of China
Christoph Rhemann
Christoph Rhemann Google (United States)
Jianxiong Xiao
Jianxiong Xiao AutoX, Inc.

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