World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10854
World Ranking
4123
National Ranking
158

Hong 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 Hong 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: 515 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Hong 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 Hong 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: 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

Hong Zhang is affiliated with the University of Alberta in Canada and has a significant body of research primarily in the fields of Computer Science and Engineering. Their work encompasses various subfields including Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering, and Biomedical Engineering.

The main themes of Hong Zhang's research include Robotics and Sensor-Based Localization, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, Robotic Path Planning Algorithms, 3D Surveying and Cultural Heritage, Video Surveillance and Tracking Methods, and Advanced Neural Network Applications.

Several recent publications authored or co-authored by Hong Zhang demonstrate their focus on applied robotics, automation, and sensor technologies:

  • Robust UWB Indoor Localization for NLOS Scenes via Learning Spatial-Temporal Features, 2022, IEEE Sensors Journal
  • Faster R-CNN With Classifier Fusion for Automatic Detection of Small Fruits, 2020, IEEE Transactions on Automation Science and Engineering
  • A High-Bandwidth End-Effector With Active Force Control for Robotic Polishing, 2020, IEEE Access
  • A multi-robot path-planning algorithm for autonomous navigation using meta-reinforcement learning based on transfer learning, 2021, Applied Soft Computing
  • GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping, 2023, IEEE Robotics and Automation Letters

Hong Zhang collaborates extensively with co-authors including Weinan Chen, Yisheng Guan, Shuhuan Wen, Li He, and Shing Yan Loo.

The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Vehicular Technology, and the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Best Publications

  • Collective robotics: from social insects to robots

    C. Ronald Kube;Hong Zhang

  • M2DP: A novel 3D point cloud descriptor and its application in loop closure detection

    Li He;Xiaolong Wang;Hong Zhang

  • Rice Blast Disease Recognition Using a Deep Convolutional Neural Network

    Wan-jie Liang;Hong Zhang;Gu-feng Zhang;Hong-xin Cao

  • Visual servoing with dynamics: control of an unmanned blimp

    Hong Zhang;J.P. Ostrowski

  • Fast approximate nearest-neighbor search with k-nearest neighbor graph

    Kiana Hajebi;Yasin Abbasi-Yadkori;Hossein Shahbazi;Hong Zhang

  • Person tracking and following with 2D laser scanners

    Angus Leigh;Joelle Pineau;Nicolas Olmedo;Hong Zhang

  • Short communication: An evaluation metric for image segmentation of multiple objects

    Mark Polak;Hong Zhang;Minghong Pi

  • Convolutional neural network-based image representation for visual loop closure detection

    Yi Hou;Hong Zhang;Shilin Zhou

  • A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving

    Mennatullah Siam;Mostafa Gamal;Moemen Abdel-Razek;Senthil Yogamani

  • Classification-Driven Watershed Segmentation

    I. Levner;Hong Zhang

  • Task modelling in collective robotics

    C. Ronald Kube;Hong Zhang

  • A Modular Biped Wall-Climbing Robot With High Mobility and Manipulating Function

    Yisheng Guan;Haifei Zhu;Wenqiang Wu;Xuefeng Zhou

  • A multistage adaptive thresholding method

    Feixiang Yan;Hong Zhang;C. Ronald Kube

  • The use of perceptual cues in multi-robot box-pushing

    C.R. Kube;Hong Zhang

  • Quick detection of brain tumors and edemas: A bounding box method using symmetry

    Baidya Nath Saha;Nilanjan Ray;Russell Greiner;Albert Murtha

  • Benchmarking of image features for content-based retrieval

    Wei-Ying Ma;Hong Jiang Zhang

  • Computationally efficient kinematics for manipulators with spherical wrists base

    R. P. Paul;H. Zhang

  • Modified GMM background modeling and optical flow for detection of moving objects

    Dongxiang Zhou;Hong Zhang

  • Visual loop closure detection with a compact image descriptor

    Yang Liu;Hong Zhang

  • Blind bulldozing: multiple robot nest construction

    C.A.C. Parker;Hong Zhang;C.R. Kube

Frequent Co-Authors

Xianmin Zhang
Xianmin Zhang South China University of Technology
Max Q.-H. Meng
Max Q.-H. Meng Southern University of Science and Technology
Kezhi Mao
Kezhi Mao Nanyang Technological University
Tianyou Chai
Tianyou Chai Northeastern University
James Ostrowski
James Ostrowski Blue River Technology
Changyin Sun
Changyin Sun Southeast University
Russell Greiner
Russell Greiner University of Alberta
Anup Basu
Anup Basu University of Alberta
Shugen Ma
Shugen Ma Ritsumeikan University
Kazuo Tanie
Kazuo Tanie Tokyo Metropolitan University

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