World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5673
World Ranking
11639
National Ranking
1439

De Xu 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 De Xu 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: 285 publications — 71st percentile

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

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

De Xu 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 De Xu 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

De Xu is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the fields of engineering and computer science, with a focus on robotics and industrial applications. Their research spans multiple specialties, including computer vision, control systems, and manufacturing engineering.

The scientist's work is frequently published in prominent venues, with a significant number of papers appearing in:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Instrumentation and Measurement
  • The International Journal of Advanced Manufacturing Technology
  • IEEE/ASME Transactions on Mechatronics
  • BMC Plant Biology

De Xu's primary research topics cover areas such as:

  • Robot Manipulation and Learning
  • Robotics and Sensor-Based Localization
  • Industrial Vision Systems and Defect Detection
  • Image Processing Techniques and Applications
  • Robotic Mechanisms and Dynamics
  • Manufacturing Process and Optimization
  • Advanced Vision and Imaging

The scientist has published notable recent papers, including:

  • Efficient Insertion Control for Precision Assembly Based on Demonstration Learning and Reinforcement Learning, 2020, IEEE Transactions on Industrial Informatics
  • Robotic Grasping and Alignment for Small Size Components Assembly Based on Visual Servoing, 2020, The International Journal of Advanced Manufacturing Technology
  • A Novel Pixel-Wise Defect Inspection Method Based on Stable Background Reconstruction, 2020, IEEE Transactions on Instrumentation and Measurement
  • Industrial Weak Scratches Inspection Based on Multifeature Fusion Network, 2020, IEEE Transactions on Instrumentation and Measurement
  • Combining Prior Knowledge With CNN for Weak Scratch Inspection of Optical Components, 2020, IEEE Transactions on Instrumentation and Measurement

Frequent co-authors with whom De Xu has collaborated include:

  • Fangbo Qin
  • Xian Tao
  • Tiantian Hao
  • Wei Hou
  • Shaohua Yan

The scientist's research covers a broad scope within robotics, control, and industrial sensing technologies, contributing to advancements in precision assembly, defect detection, and visual inspection techniques. Their integration of learning methods for robotic manipulation reflects interdisciplinary approaches combining engineering and computer science.

Best Publications

  • Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks

    Xian Tao;Dapeng Zhang;Zihao Wang;Xilong Liu

  • Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks

    Xian Tao;Dapeng Zhang;Wenzhi Ma;Xilong Liu

  • Measurement and Defect Detection of the Weld Bead Based on Online Vision Inspection

    Yuan Li;You Fu Li;Qing Lin Wang;De Xu

  • Visual Measurement and Prediction of Ball Trajectory for Table Tennis Robot

    Zhengtao Zhang;De Xu;Min Tan

  • Ceiling-Based Visual Positioning for an Indoor Mobile Robot With Monocular Vision

    De Xu;Liwei Han;Min Tan;You Fu Li

  • A Vision-Based Self-Tuning Fuzzy Controller for Fillet Weld Seam Tracking

    Zaojun Fang;De Xu;Min Tan

  • An Overview of Contour Detection Approaches

    Xin-Yi Gong;Hu Su;De Xu;Zheng-Tao Zhang

  • Intelligent robot welding device using large-scale workpiece

    Zhiguo Yan;Yuan Li;De Xu;Min Tan

  • Face Detection With Different Scales Based on Faster R-CNN

    Wenqi Wu;Yingjie Yin;Xingang Wang;De Xu

  • High Precision Automatic Assembly Based on Microscopic Vision and Force Information

    Song Liu;De Xu;Dapeng Zhang;Zhengtao Zhang

  • An Analysis of the Inverse Kinematics for a 5-DOF Manipulator

    De Xu;Carlos Antonio Acosta Calderon;John Q. Gan;Huosheng Hu

  • Fusing Color and Texture Features for Background Model

    Unknown

  • Attention-driven salient edge(s) and region(s) extraction with application to CBIR

    Unknown

  • Turning Control of a Multilink Biomimetic Robotic Fish

    Junzhi Yu;Lizhong Liu;Long Wang;Min Tan

  • Visual seam tracking system for butt weld of thin plate

    Zaojun Fang;De Xu;Min Tan

  • Embedded Vision-Guided 3-D Tracking Control for Robotic Fish

    Junzhi Yu;Feihu Sun;De Xu;Min Tan

  • Robust Visual Detection–Learning–Tracking Framework for Autonomous Aerial Refueling of UAVs

    Yingjie Yin;Xingang Wang;De Xu;Fangfang Liu

  • Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks

    Xian Tao;Zihao Wang;Zhengtao Zhang;Dapeng Zhang

  • Concept vector for semantic similarity and relatedness based on WordNet structure

    Unknown

  • A Novel and Effective Surface Flaw Inspection Instrument for Large-Aperture Optical Elements

    Xian Tao;Zhengtao Zhang;Feng Zhang;De Xu

  • Efficient Insertion Control for Precision Assembly Based on Demonstration Learning and Reinforcement Learning

    Yanqin Ma;De Xu;Fangbo Qin

  • Vision-Based Target-Following Guider for Mobile Robot

    Mingyi Zhang;Xilong Liu;De Xu;Zhiqiang Cao

  • Surgical Instrument Segmentation for Endoscopic Vision with Data Fusion of rediction and Kinematic Pose

    Fangbo Qin;Yangming Li;Yun-Hsuan Su;De Xu

  • Robust Insertion Control for Precision Assembly With Passive Compliance Combining Vision and Force Information

    Song Liu;Deng-Peng Xing;You-Fu Li;Jianwei Zhang

  • Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs

    Siyang Sun;Yingjie Yin;Xingang Wang;De Xu

  • Relative Pose Estimation for Alignment of Long Cylindrical Components Based on Microscopic Vision

    Song Liu;De Xu;Fangfang Liu;Dapeng Zhang

Frequent Co-Authors

Min Tan
Min Tan Chinese Academy of Sciences
Youfu Li
Youfu Li City University of Hong Kong
Junzhi Yu
Junzhi Yu Peking University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Huosheng Hu
Huosheng Hu University of Essex
Wensheng Zhang
Wensheng Zhang Iowa State University
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Fang Wang
Fang Wang New York University
Blake Hannaford
Blake Hannaford University of Washington
Long Wang
Long Wang Peking University

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