World's Best Scientists 2026 revealed!
F. Richard Yu

F. Richard Yu

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Computer Science
Canada
2026
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Electronics and Electrical Engineering
Canada
2026

D-Index & Metrics

Computer Science

D-Index
113
Citations
57716
World Ranking
200
National Ranking
6

Electronics and Electrical Engineering

D-Index
108
Citations
42633
World Ranking
118
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Canada Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Canada Leader Award
  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

F. Richard Yu is affiliated with Carleton University in Canada. Their research spans multiple fields including Computer Science and Engineering, with significant work published in related subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Artificial Intelligence.

Their recent published papers illustrate a focus on Internet of Things (IoT), wireless communication, and autonomous vehicle technologies. Notable recent works include:

  • Enabling Massive IoT Toward 6G: A Comprehensive Survey, 2021, IEEE Internet of Things Journal
  • Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey, 2020, IEEE Internet of Things Journal
  • A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs), 2021, IEEE Transactions on Intelligent Transportation Systems
  • Blockchain and Machine Learning for Communications and Networking Systems, 2020, IEEE Communications Surveys & Tutorials
  • MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach, 2020, IEEE Internet of Things Journal

Frequent co-authors include Victor C. M. Leung, Tao Huang, Renchao Xie, Nan Zhao, and Li Zhu. Collaboration with these researchers reflects consistent cooperative work within the fields of IoT and wireless communication.

The venues where F. Richard Yu has published most frequently are:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Wireless Communications

The main fields of study focus on Computer Science with considerable contributions to Engineering. Within these broader domains, the subfields emphasized include Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, and Aerospace Engineering.

Research topics covered are diverse and largely centered around emerging technology and networked systems:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • UAV Applications and Optimization
  • Vehicular Ad Hoc Networks (VANETs)
  • Privacy-Preserving Technologies in Data
  • Advanced Wireless Communication Technologies
  • Caching and Content Delivery

In addition to journal articles, F. Richard Yu has contributed to academic books, including a 2023 publication titled Advances in Nonlinear Systems and Networks released by Frontiers Media.

Best Publications

  • Introduction to Machine Learning

    F. Richard Yu;Ying He

  • Big Data Analytics in Intelligent Transportation Systems: A Survey

    Li Zhu;Fei Richard Yu;Yige Wang;Bin Ning

  • Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges

    Qiao Yan;F. Richard Yu;Qingxiang Gong;Jianqiang Li

  • Wireless Network Virtualization: A Survey, Some Research Issues and Challenges

    Chengchao Liang;F. Richard Yu

  • A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges

    Junfeng Xie;Helen Tang;Tao Huang;F. Richard Yu

  • Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks

    Fei Yu;Victor Leung

  • UAV-Assisted Emergency Networks in Disasters

    Nan Zhao;Weidang Lu;Min Sheng;Yunfei Chen

  • Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing

    Chenmeng Wang;Chengchao Liang;F. Richard Yu;Qianbin Chen

  • Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges

    Ruizhe Yang;F. Richard Yu;Pengbo Si;Zhaoxin Yang

  • A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

    Junfeng Xie;F. Richard Yu;Tao Huang;Renchao Xie

  • Enabling Massive IoT Toward 6G: A Comprehensive Survey

    Fengxian Guo;F. Richard Yu;Heli Zhang;Xi Li

  • In-Band Full-Duplex Relaying: A Survey, Research Issues and Challenges

    Gang Liu;F. Richard Yu;Hong Ji;Victor C. M. Leung

  • Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges

    Jian-Qiang Li;F. Richard Yu;Genqiang Deng;Chengwen Luo

  • A Distributed Consensus-Based Cooperative Spectrum-Sensing Scheme in Cognitive Radios

    Zhiqiang Li;F.R. Yu;Minyi Huang

  • Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells

    Renchao Xie;F. R. Yu;Hong Ji;Yi Li

  • Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

    Ying He;F. Richard Yu;Nan Zhao;Victor C. M. Leung

  • Joint Computation Offloading and Interference Management in Wireless Cellular Networks with Mobile Edge Computing

    Chenmeng Wang;F. Richard Yu;Chengchao Liang;Qianbin Chen

  • User Scheduling and Resource Allocation in HetNets With Hybrid Energy Supply: An Actor-Critic Reinforcement Learning Approach

    Yifei Wei;F. Richard Yu;Mei Song;Zhu Han

  • When big data meets software-defined networking: SDN for big data and big data for SDN

    Laizhong Cui;F. Richard Yu;Qiao Yan

  • UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells

    Fen Cheng;Shun Zhang;Zan Li;Yunfei Chen

  • A Survey of Security Challenges in Cognitive Radio Networks: Solutions and Future Research Directions

    A. Attar;H. Tang;A. V. Vasilakos;F. R. Yu

Frequent Co-Authors

Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Nan Zhao
Nan Zhao Dalian University of Technology
Hong Ji
Hong Ji Beijing University of Posts and Telecommunications
Yunfei Chen
Yunfei Chen University of Warwick
Tao Tang
Tao Tang Beijing Jiaotong University
Jiang Liu
Jiang Liu Southern University of Science and Technology
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Minyi Huang
Minyi Huang Carleton University
Xiaoli Chu
Xiaoli Chu University of Sheffield
Zhu Han
Zhu Han University of Houston

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