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D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
5424
World Ranking
7765
National Ranking
1391

Overview

Daqi Zhu is affiliated with the University of Shanghai for Science and Technology in China. Their research primarily focuses on engineering and computer science, with a specific emphasis on ocean engineering, control and systems engineering, and computer vision and pattern recognition.

The scientist's areas of study include the following subfields:

  • Ocean Engineering
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Aerospace Engineering

Their core research topics cover:

  • Underwater Vehicles and Communication Systems
  • Robotic Path Planning Algorithms
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Water Quality Monitoring Technologies
  • Fault Detection and Control Systems
  • Robotics and Sensor-Based Localization

Daqi Zhu has published extensively in the following venues:

  • Ocean Engineering
  • International Journal of Robotics and Automation
  • Journal of Marine Science and Engineering
  • SSRN Electronic Journal
  • Journal of Marine Science and Technology

Frequent collaborators include Mingzhi Chen, Wen Pang, Zhenzhong Chu, Simon X. Yang, and Bing Sun.

Representative recent papers by Daqi Zhu and coauthors are:

  • Underwater target detection based on Faster R-CNN and adversarial occlusion network, 2021, Engineering Applications of Artificial Intelligence
  • A survey of underwater search for multi-target using Multi-AUV: Task allocation, path planning, and formation control, 2023, Ocean Engineering
  • A Novel Algorithm of Multi-AUVs Task Assignment and Path Planning Based on Biologically Inspired Neural Network Map, 2020, IEEE Transactions on Intelligent Vehicles
  • Optimal Time-Consuming Path Planning for Autonomous Underwater Vehicles Based on a Dynamic Neural Network Model in Ocean Current Environments, 2020, IEEE Transactions on Vehicular Technology
  • Blockchain-Enabled Cross-Domain Object Detection for Autonomous Driving: A Model Sharing Approach, 2020, IEEE Internet of Things Journal

Best Publications

  • Optimality conditions for bilevel programming problems

    J. J. Ye;D. L. Zhu

  • Dynamic Task Assignment and Path Planning of Multi-AUV System Based on an Improved Self-Organizing Map and Velocity Synthesis Method in Three-Dimensional Underwater Workspace

    Daqi Zhu;Huan Huang;S. X. Yang

  • Observer-Based Adaptive Neural Network Trajectory Tracking Control for Remotely Operated Vehicle

    Zhenzhong Chu;Daqi Zhu;Simon X. Yang

  • Underwater target detection based on Faster R-CNN and adversarial occlusion network

    Lingcai Zeng;Bing Sun;Daqi Zhu

  • An Adaptive SOM Neural Network Method for Distributed Formation Control of a Group of AUVs

    Xin Li;Daqi Zhu

  • Biologically Inspired Self-Organizing Map Applied to Task Assignment and Path Planning of an AUV System

    Daqi Zhu;Xiang Cao;Bing Sun;Chaomin Luo

  • Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments

    Xiang Cao;Daqi Zhu;Simon X. Yang

  • A Bioinspired Filtered Backstepping Tracking Control of 7000-m Manned Submarine Vehicle

    Bing Sun;Daqi Zhu;Simon X. Yang

  • A survey of underwater search for multi-target using Multi-AUV: Task allocation, path planning, and formation control

    Unknown

  • Complete Coverage Path Planning of Autonomous Underwater Vehicle Based on GBNN Algorithm

    Daqi Zhu;Chen Tian;Bing Sun;Chaomin Luo

  • Optimal Time-Consuming Path Planning for Autonomous Underwater Vehicles Based on a Dynamic Neural Network Model in Ocean Current Environments

    Unknown

  • Complete Coverage Autonomous Underwater Vehicles Path Planning Based on Glasius Bio-Inspired Neural Network Algorithm for Discrete and Centralized Programming

    Bing Sun;Daqi Zhu;Chen Tian;Chaomin Luo

  • A Novel Algorithm of Multi-AUVs Task Assignment and Path Planning Based on Biologically Inspired Neural Network Map

    Daqi Zhu;Bei Zhou;Simon X. Yang

  • QPSO-model predictive control-based approach to dynamic trajectory tracking control for unmanned underwater vehicles

    Wenyang Gan;Daqi Zhu;Daxiong Ji

  • Dynamic Task Assignment and Path Planning for Multi-AUV System in Variable Ocean Current Environment

    Huan Huang;Daqi Zhu;Feng Ding

  • Adaptive Fuzzy Sliding Mode Diving Control for Autonomous Underwater Vehicle with Input Constraint

    Zhenzhong Chu;Zhenzhong Chu;Xianbo Xiang;Daqi Zhu;Chaomin Luo

  • An Optimized Fuzzy Control Algorithm for Three-Dimensional AUV Path Planning

    Bing Sun;Daqi Zhu;Simon X. Yang

  • Model Predictive Adaptive Constraint Tracking Control for Underwater Vehicles

    Wenyang Gan;Daqi Zhu;Zhen Hu;Xianpeng Shi

  • The bio-inspired model based hybrid sliding-mode tracking control for unmanned underwater vehicles

    Daqi Zhu;Bing Sun

  • Blockchain-Enabled Cross-Domain Object Detection for Autonomous Driving: A Model Sharing Approach

    Xiantao Jiang;F. Richard Yu;Tian Song;Zhaowei Ma

  • Information Fusion Fault Diagnosis Method for Deep-Sea Human Occupied Vehicle Thruster Based on Deep Belief Network.

    Daqi Zhu;Xuelong Cheng;Lei Yang;Yunsai Chen

  • A Multi-Fault Diagnosis Method for Sensor Systems Based on Principle Component Analysis

    Daqi Zhu;Jie Bai;Simon X. Yang

  • Path planning for autonomous underwater vehicle based on artificial potential field and velocity synthesis

    Chunlei Cheng;Daqi Zhu;Bing Sun;Zhenzhong Chu

  • Multi-AUV Hunting Algorithm Based on Bio-inspired Neural Network in Unknown Environments

    Daqi Zhu;Ruofan Lv;Xiang Cao;Simon X. Yang

  • A novel tracking control approach for unmanned underwater vehicles based on bio-inspired neurodynamics

    Bing Sun;Daqi Zhu;Feng Ding;Simon X. Yang

Frequent Co-Authors

Simon X. Yang
Simon X. Yang University of Guelph

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