World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14505
World Ranking
4250
National Ranking
2003

Qixing 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 Qixing 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: 147 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Qixing 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 Qixing 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Qixing Huang is affiliated with The University of Texas at Austin in the United States. Their research spans multiple areas across computer science and engineering, with a particular focus on computer vision, computational mechanics, and related subfields.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Within these areas, Qixing Huang has contributed extensively to several subfields, including:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Geology
  • Computer Graphics and Computer-Aided Design
  • Molecular Biology

Their research topics cover a broad spectrum, with significant work in:

  • 3D Shape Modeling and Analysis
  • Image Processing and 3D Reconstruction
  • 3D Surveying and Cultural Heritage
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Robotics and Sensor-Based Localization

Qixing Huang has published in numerous venues, frequently contributing to:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Some recent representative papers include:

  • ShapeNet: An Information-Rich 3D Model Repository, 2023, published in Zenodo (CERN European Organization for Nuclear Research)
  • InfoGCN: Representation Learning for Human Skeleton-based Action Recognition, 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • PVNet: Pixel-Wise Voting Network for 6DoF Object Pose Estimation, 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Deep Generative Modeling for Scene Synthesis via Hybrid Representations, 2020, published in ACM Transactions on Graphics
  • Fast and Robust Multi-Person 3D Pose Estimation and Tracking From Multiple Views, 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist commonly collaborates with other researchers, with frequent coauthors including:

  • Zaiwei Zhang
  • Chandrajit Bajaj
  • Zhenpei Yang
  • Chen Song
  • Jiaxin Lu

Best Publications

  • ShapeNet: An Information-Rich 3D Model Repository

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

  • A scalable active framework for region annotation in 3D shape collections

    Li Yi;Vladimir G. Kim;Duygu Ceylan;I-Chao Shen

  • PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation

    Sida Peng;Yuan Liu;Qixing Huang;Xiaowei Zhou

  • Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach

    Xingyi Zhou;Qixing Huang;Xiao Sun;Xiangyang Xue

  • Reassembling fractured objects by geometric matching

    Qi-Xing Huang;Simon Flöry;Natasha Gelfand;Michael Hofer

  • InfoGCN: Representation Learning for Human Skeleton-based Action Recognition

    Unknown

  • Learning Dense Correspondence via 3D-Guided Cycle Consistency

    Tinghui Zhou;Philipp Krahenbuhl;Mathieu Aubry;Qixing Huang

  • Non-rigid registration under isometric deformations

    Qi-Xing Huang;Bart Adams;Martin Wicke;Leonidas J. Guibas

  • HybridPose: 6D Object Pose Estimation Under Hybrid Representations

    Chen Song;Jiaru Song;Qixing Huang

  • Integral invariants for robust geometry processing

    Helmut Pottmann;Johannes Wallner;Qi-Xing Huang;Yong-Liang Yang

  • Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes

    Helmut Pottmann;Qi-Xing Huang;Yong-Liang Yang;Shi-Min Hu

  • Structure-aware shape processing

    Niloy J. Mitra;Michael Wand;Hao Zhang;Daniel Cohen-Or

  • Consistent shape maps via semidefinite programming

    Qi-Xing Huang;Leonidas Guibas

  • Dense Human Body Correspondences Using Convolutional Networks

    Lingyu Wei;Qixing Huang;Duygu Ceylan;Etienne Vouga

  • Joint shape segmentation with linear programming

    Qixing Huang;Vladlen Koltun;Leonidas Guibas

  • Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views

    Junting Dong;Wen Jiang;Qixing Huang;Hujun Bao

  • SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks

    Ayan Sinha;Asim Unmesh;Qixing Huang;Karthik Ramani

  • H3DNet: 3D Object Detection Using Hybrid Geometric Primitives

    Zaiwei Zhang;Bo Sun;Haitao Yang;Qixing Huang

  • A second order algorithm for orthogonal projection onto curves and surfaces

    Shi-Min Hu;Johannes Wallner

  • Connected fermat spirals for layered fabrication

    Haisen Zhao;Fanglin Gu;Qi-Xing Huang;Jorge Garcia

  • Functional map networks for analyzing and exploring large shape collections

    Qixing Huang;Fan Wang;Leonidas Guibas

  • Single-view reconstruction via joint analysis of image and shape collections

    Qixing Huang;Hai Wang;Vladlen Koltun

  • Meta-representation of shape families

    Noa Fish;Melinos Averkiou;Oliver van Kaick;Olga Sorkine-Hornung

Frequent Co-Authors

Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Niloy J. Mitra
Niloy J. Mitra University College London
Vladimir G. Kim
Vladimir G. Kim Adobe Systems (United States)
Hao Su
Hao Su University of California, San Diego
Michael Wand
Michael Wand Johannes Gutenberg University of Mainz
Duygu Ceylan
Duygu Ceylan Adobe Systems (United States)
Shi-Min Hu
Shi-Min Hu Tsinghua University
Hao Li
Hao Li University of California, Berkeley
Evangelos Kalogerakis
Evangelos Kalogerakis Technical University of Crete

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