World's Best Scientists 2026 revealed!
Hongbin Zha

Hongbin Zha

D-Index & Metrics

Computer Science

D-Index
56
Citations
10582
World Ranking
4132
National Ranking
553

Hongbin Zha 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 Hongbin Zha 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: 472 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Hongbin Zha 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 Hongbin Zha 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Hongbin Zha is affiliated with Peking University in China and has contributed extensively in the fields of Computer Science and Engineering. Their research spans multiple subfields, including Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Biomedical Engineering, and Artificial Intelligence.

The scientist's work covers a broad range of topics, such as:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Medical Image Segmentation Techniques
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • Medical Imaging and Analysis

Among recent publications are the following papers:

  • "Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Line Flow Based Simultaneous Localization and Mapping" (2021) published in IEEE Transactions on Robotics
  • "Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations" (2021) published at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Pyramid ALKNet for Semantic Parsing of Building Facade Image" (2020) published in IEEE Geoscience and Remote Sensing Letters
  • "Face Restoration via Plug-and-Play 3D Facial Priors" (2021) published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Zha has collaborated frequently with several co-authors including Yuru Pei, Zike Yan, Xilin Chen, Tianmin Xu, and Hanzi Wang.

Frequent publication venues for the scientist include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Medical Imaging
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Geoscience and Remote Sensing Letters

In addition to journal and conference papers, Hongbin Zha has published numerous books with Springer Science+Business Media, including multiple editions of Pattern Recognition and Computer Vision, spanning from 2020 to 2023.

Best Publications

  • Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

    Xia Li;Jianlong Wu;Zhouchen Lin;Hong Liu

  • Riemannian Manifold Learning

    Tong Lin;Hongbin Zha

  • Essential Tensor Learning for Multi-View Spectral Clustering

    Jianlong Wu;Zhouchen Lin;Hongbin Zha

  • A real-time motion planner with trajectory optimization for autonomous vehicles

    Wenda Xu;Junqing Wei;John M. Dolan;Huijing Zhao

  • Deep Comprehensive Correlation Mining for Image Clustering

    Jianlong Wu;Keyu Long;Fei Wang;Chen Qian

  • Coarse-to-fine vision-based localization by indexing scale-Invariant features

    Junqiu Wang;Hongbin Zha;R. Cipolla

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches

    Jinshi Cui;Ye Liu;Yuandong Xu;Huijing Zhao

  • Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval

    Yi Liu;Hongbin Zha;Hong Qin

  • Structure-Sensitive Superpixels via Geodesic Distance

    Peng Wang;Gang Zeng;Rui Gan;Jingdong Wang

  • Computer Vision – ACCV 2007

    Yasushi Yagi;Sing Bing Kang;In So Kweon;Hongbin Zha

  • Computer Vision -- ACCV 2009

    Hongbin Zha;Rin-ichiro Taniguchi;Stephen Maybank

  • Unsupervised Random Forest Manifold Alignment for Lipreading

    Yuru Pei;Tae-Kyun Kim;Hongbin Zha

  • Riemannian manifold learning for nonlinear dimensionality reduction

    Tony Lin;Hongbin Zha;Sang Uk Lee

  • Alternating Multi-bit Quantization for Recurrent Neural Networks

    Chen Xu;Jianqiang Yao;Zhouchen Lin;Wenwu Ou

  • Salient object detection for searched web images via global saliency

    Peng Wang;Jingdong Wang;Gang Zeng;Jie Feng

  • Laser-based detection and tracking of multiple people in crowds

    Jinshi Cui;Hongbin Zha;Huijing Zhao;Ryosuke Shibasaki

  • Learning to Detect Anomalies in Surveillance Video

    Tan Xiao;Chao Zhang;Hongbin Zha

  • SLAM in a dynamic large outdoor environment using a laser scanner

    Huijing Zhao;M. Chiba;R. Shibasaki;Xiaowei Shao

  • Sorted Random Projections for robust texture classification

    Li Liu;Paul Fieguth;Gangyao Kuang;Hongbin Zha

  • Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry

    Fei Xue;Xin Wang;Shunkai Li;Qiuyuan Wang

  • Structure-sensitive superpixels via geodesic distance

    Gang Zeng;Peng Wang;Jingdong Wang;Rui Gan

  • Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches.

    Yuandong Xu;Jinshi Cui;Huijing Zhao;Hongbin Zha

Frequent Co-Authors

Huijing Zhao
Huijing Zhao Peking University
Zhouchen Lin
Zhouchen Lin Peking University
Gang Zeng
Gang Zeng Peking University
Ryosuke Shibasaki
Ryosuke Shibasaki University of Tokyo
Xuan Song
Xuan Song University of Tokyo
Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Jingdong Wang
Jingdong Wang Baidu (China)
Hong Qin
Hong Qin Stony Brook University
Yasushi Yagi
Yasushi Yagi Osaka University
Roberto Cipolla
Roberto Cipolla University of Cambridge

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