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D-Index & Metrics

Computer Science

D-Index
38
Citations
6335
World Ranking
10208
National Ranking
638

Dongbing Gu 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 Dongbing Gu 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Dongbing Gu 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 Dongbing Gu 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.

Overview

Dongbing Gu is affiliated with the University of Essex in the United Kingdom. Their research primarily spans the fields of Computer Science and Engineering, with notable work in subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.

The scientist's research topics encompass a range of areas, including:

  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Advanced Image and Video Retrieval Techniques
  • Smart Agriculture and AI

Frequent co-authors in their work include Jie Wang, Hongmei Chen, Wen Ye, Dong Wang, and Yangyang Wang.

Dongbing Gu has published extensively in various venues. Among the most frequent publication venues are:

  • Cognitive Computation
  • SSRN Electronic Journal
  • IEEE Internet of Things Journal
  • 2022 27th International Conference on Automation and Computing (ICAC)
  • Sensors

Recent publications showcase the scope and diversity of their research interests. Selected works include:

  • DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning (2020, IEEE Transactions on Industrial Electronics)
  • LRDNet: A lightweight and efficient network with refined dual attention decorder for real-time semantic segmentation (2021, Neurocomputing)
  • Robust AUV Visual Loop-Closure Detection Based on Variational Autoencoder Network (2022, IEEE Transactions on Industrial Informatics)
  • Distributed Optimal State Consensus for Multiple Circuit Systems With Disturbance Rejection (2020, IEEE Transactions on Network Science and Engineering)
  • Adaptive end-effector pose control for tomato harvesting robots (2022, Journal of Field Robotics)

Best Publications

  • UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning

    Ruihao Li;Sen Wang;Zhiqiang Long;Dongbing Gu

  • Receding horizon tracking control of wheeled mobile robots

    Dongbing Gu;Huosheng Hu

  • Neural predictive control for a car-like mobile robot

    Dongbing Gu;Huosheng Hu

  • A Differential Game Approach to Formation Control

    Dongbing Gu

  • Multiagent Reinforcement Learning for Multi-Robot Systems: A Survey

    Erfu Yang;Dongbing Gu

  • Cooperative Target Tracking Control of Multiple Robots

    Zongyao Wang;Dongbing Gu

  • Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks

    Dongbing Gu

  • Leader–Follower Flocking: Algorithms and Experiments

    Dongbing Gu;Zongyao Wang

  • Multi-player pursuit-evasion games with one superior evader

    Jie Chen;Wenzhong Zha;Zhihong Peng;Dongbing Gu

  • Robust Team Formation Control for Quadrotors

    Wesam Jasim;Dongbing Gu

  • Distributed Particle Filter for Target Tracking

    Dongbing Gu

  • DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning

    Ruihao Li;Sen Wang;Dongbing Gu

  • SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation With Stacked Generative Adversarial Networks

    Tuo Feng;Dongbing Gu

  • A stabilizing receding horizon regulator for nonholonomic mobile robots

    Dongbing Gu;Huosheng Hu

  • A review of visual inertial odometry from filtering and optimisation perspectives

    Jianjun Gui;Dongbing Gu;Sen Wang;Huosheng Hu

  • A multiscale edge detection algorithm based on wavelet domain vector hidden Markov tree model

    Junxi Sun;Dongbing Gu;Yazhu Chen;Su Zhang

  • Using Fuzzy Logic to Design Separation Function in Flocking Algorithms

    Dongbing Gu;Huosheng Hu

  • Spatial Gaussian Process Regression With Mobile Sensor Networks

    Dongbing Gu;Huosheng Hu

  • Autonomous robots for harsh environments : a holistic overview of current solutions and ongoing challenges

    Cuebong Wong;Erfu Yang;Xiu-Tian Yan;Dongbing Gu

  • Inspection Robots in Oil and Gas Industry: a Review of Current Solutions and Future Trends

    Leijian Yu;Erfu Yang;Peng Ren;Cai Luo

  • Landmark‐based navigation of industrial mobile robots

    Huosheng Hu;Dongbing Gu

  • Consensus based distributed particle filter in sensor networks

    Dongbing Gu;Junxi Sun;Zhen Hu;Hongzuo Li

  • Localization in wireless sensor networks using a mobile anchor node

    Zhen Hu;Dongbing Gu;Zhengxun Song;Hongzuo Li

Frequent Co-Authors

Huosheng Hu
Huosheng Hu University of Essex
Yun Li
Yun Li University of Electronic Science and Technology of China
Jie Chen
Jie Chen Beijing Institute of Technology
Carlos Gershenson
Carlos Gershenson Binghamton University
Yongping Pan
Yongping Pan Sun Yat-sen University
Michael Brady
Michael Brady University of Oxford
Tian Huang
Tian Huang Tianjin University
Huiyu Zhou
Huiyu Zhou University of Leicester
Edward Tsang
Edward Tsang University of Essex
Guangming Xie
Guangming Xie Peking University

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