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.
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