World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5673
World Ranking
11641
National Ranking
1439

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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