H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 75 Citations 27,948 437 World Ranking 584 National Ranking 23
Electronics and Electrical Engineering H-index 63 Citations 12,583 354 World Ranking 440 National Ranking 26

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Telecommunications

F. Richard Yu mainly focuses on Computer network, Wireless, Wireless network, Distributed computing and Resource management. His Computer network research integrates issues from Cognitive radio, Efficient energy use and Radio resource management. F. Richard Yu combines subjects such as Stackelberg competition, Energy consumption, Base station and Cache with his study of Efficient energy use.

F. Richard Yu has researched Wireless in several fields, including Network topology, Cellular network, Interference alignment and Communication channel. F. Richard Yu has included themes like Interference, Virtualization, Channel state information and Physical layer in his Wireless network study. His Distributed computing research is multidisciplinary, incorporating elements of Resource allocation, Computation offloading, Mobile edge computing, Optimization problem and Reinforcement learning.

His most cited work include:

  • Introduction to Machine Learning (1338 citations)
  • Wireless Network Virtualization: A Survey, Some Research Issues and Challenges (566 citations)
  • Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges (422 citations)

What are the main themes of his work throughout his whole career to date?

F. Richard Yu focuses on Computer network, Distributed computing, Wireless, Wireless network and Resource allocation. F. Richard Yu interconnects Wireless ad hoc network, Throughput and Radio resource management in the investigation of issues within Computer network. His studies in Distributed computing integrate themes in fields like Optimization problem, Edge computing, Mobile computing and Mobile edge computing.

The concepts of his Wireless study are interwoven with issues in Energy consumption, Relay, Communication channel, Efficient energy use and Reinforcement learning. The Wireless network study combines topics in areas such as Virtualization, Channel state information and Interference alignment. His Resource allocation research incorporates themes from Distributed algorithm and Cellular network.

He most often published in these fields:

  • Computer network (53.67%)
  • Distributed computing (30.07%)
  • Wireless (25.70%)

What were the highlights of his more recent work (between 2019-2021)?

  • Distributed computing (30.07%)
  • Computer network (53.67%)
  • Wireless (25.70%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Distributed computing, Computer network, Wireless, Reinforcement learning and Edge computing. The Distributed computing study combines topics in areas such as Resource allocation, Server and Blockchain. F. Richard Yu interconnects Throughput and Vehicular ad hoc network in the investigation of issues within Computer network.

His Wireless research is mostly focused on the topic Wireless network. The concepts of his Reinforcement learning study are interwoven with issues in Latency, Cache, Enhanced Data Rates for GSM Evolution, Markov decision process and Optimization problem. His research integrates issues of Computer security, Network architecture, Quality of experience and Service in his study of Edge computing.

Between 2019 and 2021, his most popular works were:

  • Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach (43 citations)
  • Trust-Based Social Networks with Computing, Caching and Communications: A Deep Reinforcement Learning Approach (28 citations)
  • Blockchain and Machine Learning for Communications and Networking Systems (27 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • The Internet
  • Telecommunications

F. Richard Yu mainly investigates Reinforcement learning, Distributed computing, Wireless, Computer network and Mobile edge computing. His Reinforcement learning research integrates issues from Scalability, Markov decision process and Markov chain. The various areas that F. Richard Yu examines in his Distributed computing study include Edge computing, Enhanced Data Rates for GSM Evolution, Resource and Next Generation Mobile Networks.

F. Richard Yu is interested in Wireless network, which is a branch of Wireless. The Protocol research he does as part of his general Computer network study is frequently linked to other disciplines of science, such as Control system security, therefore creating a link between diverse domains of science. His research in Mobile edge computing focuses on subjects like Resource allocation, which are connected to Mathematical optimization and Quality of service.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Introduction to Machine Learning

F. Richard Yu;Ying He.
(2019)

9482 Citations

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

Chengchao Liang;F. Richard Yu.
IEEE Communications Surveys and Tutorials (2015)

746 Citations

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.
IEEE Communications Surveys and Tutorials (2016)

663 Citations

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

Chenmeng Wang;Chengchao Liang;F. Richard Yu;Qianbin Chen.
IEEE Transactions on Wireless Communications (2017)

371 Citations

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

Gang Liu;F. Richard Yu;Hong Ji;Victor C. M. Leung.
IEEE Communications Surveys and Tutorials (2015)

364 Citations

When the Smart Grid Meets Energy-Efficient Communications: Green Wireless Cellular Networks Powered by the Smart Grid

Shengrong Bu;F. Richard Yu;Yegui Cai;Xiaoping P. Liu.
IEEE Transactions on Wireless Communications (2012)

287 Citations

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

Laizhong Cui;F. Richard Yu;Qiao Yan.
IEEE Network (2016)

262 Citations

Prediction-Based Topology Control and Routing in Cognitive Radio Mobile Ad Hoc Networks

Quansheng Guan;F. Richard Yu;Shengming Jiang.
conference on computer communications workshops (2010)

260 Citations

Dynamic Resource Allocation for Heterogeneous Services in Cognitive Radio Networks With Imperfect Channel Sensing

Renchao Xie;F. Richard Yu;Hong Ji.
IEEE Transactions on Vehicular Technology (2012)

260 Citations

Cross-Layer Design for TCP Performance Improvement in Cognitive Radio Networks

Changqing Luo;F Richard Yu;Hong Ji;Victor C M Leung.
IEEE Transactions on Vehicular Technology (2010)

246 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing F. Richard Yu

Zhu Han

Zhu Han

University of Houston

Publications: 81

Victor C. M. Leung

Victor C. M. Leung

University of British Columbia

Publications: 69

Nan Zhao

Nan Zhao

Dalian University of Technology

Publications: 49

Dusit Niyato

Dusit Niyato

Nanyang Technological University

Publications: 42

Haijun Zhang

Haijun Zhang

University of Science and Technology Beijing

Publications: 40

Choong Seon Hong

Choong Seon Hong

Kyung Hee University

Publications: 39

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 37

Xin Liu

Xin Liu

Dalian University of Technology

Publications: 35

Yan Zhang

Yan Zhang

Chinese Academy of Sciences

Publications: 33

Nguyen H. Tran

Nguyen H. Tran

University of Sydney

Publications: 30

Mohsen Guizani

Mohsen Guizani

Qatar University

Publications: 28

Mohamed-Slim Alouini

Mohamed-Slim Alouini

King Abdullah University of Science and Technology

Publications: 27

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 27

Walid Saad

Walid Saad

Virginia Tech

Publications: 26

Alagan Anpalagan

Alagan Anpalagan

Ryerson University

Publications: 25

Something went wrong. Please try again later.