World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5000
World Ranking
12629
National Ranking
1548

Zhanyi Hu 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 Zhanyi Hu 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Zhanyi Hu 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 Zhanyi Hu 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Zhanyi Hu is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the fields of Computer Science and Engineering. Their research spans multiple subfields including Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Geology, and Environmental Engineering.

The scientist's work addresses a variety of advanced topics such as Robotics and Sensor-Based Localization, Advanced Vision and Imaging, 3D Surveying and Cultural Heritage, Domain Adaptation and Few-Shot Learning, Remote Sensing and LiDAR Applications, COVID-19 diagnosis using AI, and 3D Shape Modeling and Analysis.

Zhanyi Hu has co-authored numerous publications with frequent collaborators including Qiulei Dong, Wei Gao, Wei Wang, Shuhan Shen, and Hainan Cui.

The venues in which Zhanyi Hu's research has been frequently published include:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • IEEE Transactions on Image Processing
  • ISPRS Journal of Photogrammetry and Remote Sensing

Some of the recent papers include:

  • Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements, 2020, arXiv (Cornell University)
  • SAR-to-Optical Image Translation With Hierarchical Latent Features, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes, 2021, IEEE Transactions on Image Processing
  • Gated Feature Aggregation for Height Estimation From Single Aerial Images, 2021, IEEE Geoscience and Remote Sensing Letters

Best Publications

  • MSLD: A robust descriptor for line matching

    Zhiheng Wang;Fuchao Wu;Zhanyi Hu

  • A new easy camera calibration technique based on circular points

    Xiaoqiao Meng;Zhanyi Hu

  • Rejecting Mismatches by Correspondence Function

    Xiangru Li;Zhanyi Hu

  • Catadioptric camera calibration using geometric invariants

    Xianghua Ying;Zhanyi Hu

  • Can We Consider Central Catadioptric Cameras and Fisheye Cameras within a Unified Imaging Model

    Xianghua Ying;Zhanyi Hu

  • Rotationally Invariant Descriptors Using Intensity Order Pooling

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • PnP Problem Revisited

    Yihong Wu;Zhanyi Hu

  • Aggregating gradient distributions into intensity orders: A novel local image descriptor

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • HSfM: Hybrid Structure-from-Motion

    Hainan Cui;Xiang Gao;Shuhan Shen;Zhanyi Hu

  • Camera calibration with moving one-dimensional objects

    F. C. Wu;Z. Y. Hu;H. J. Zhu

  • Robust line matching through line-point invariants

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Learning Depth From Single Images With Deep Neural Network Embedding Focal Length

    Lei He;Guanghui Wang;Zhanyi Hu

  • Line matching leveraged by point correspondences

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Camera Calibration from the Quasi-affine Invariance of Two Parallel Circles

    Yihong Wu;Haijiang Zhu;Zhanyi Hu;Fuchao Wu

  • A note on the convergence of the mean shift

    Xiangru Li;Zhanyi Hu;Fuchao Wu

  • Camera calibration and 3D reconstruction from a single view based on scene constraints

    Guanghui Wang;Guanghui Wang;Hung-Tat Tsui;Zhanyi Hu;Fuchao Wu

  • Single view metrology from scene constraints

    Guanghui Wang;Zhanyi Hu;Fuchao Wu;Hung-Tat Tsui

  • Multi-Camera Calibration with One-Dimensional Object under General Motions

    L. Wang;F.C. Wu;Z.Y. Hu

  • Fisheye lenses calibration using straight-line spherical perspective projection constraint

    Xianghua Ying;Zhanyi Hu;Hongbin Zha

  • Fisheye Lenses Calibration Using Straight-Line Spherical Perspective Projection Constraint

    Xianghua Ying;Zhanyi Hu;Hongbin Zha

  • Coplanar circles, quasi-affine invariance and calibration

    Yihong Wu;Xinju Li;Fuchao Wu;Zhanyi Hu

  • Learning Depth from Single Images with Deep Neural Network Embedding Focal Length

    Lei He;Guanghui Wang;Zhanyi Hu

  • Planar conic based camera calibration

    Changjiang Yang;Fengmei Sun;Zhanyi Hu

  • A New Easy Camera Calibration Technique Based on Circular Points.

    Xiaoqiao Meng;Hua Li;Zhanyi Hu

  • Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements

    Jinxu Liu;Wei Gao;Zhanyi Hu

Frequent Co-Authors

Bin Fan
Bin Fan Carnegie Mellon University
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Youfu Li
Youfu Li City University of Hong Kong
Hongbin Zha
Hongbin Zha Peking University
Liang Wang
Liang Wang Chinese Academy of Sciences
Qinghua Zhang
Qinghua Zhang Southwest Jiaotong University

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