What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Geyong Min mainly investigates Distributed computing, Computer network, Server, Edge computing and Big data.
His studies in Distributed computing integrate themes in fields like Network performance, Resource allocation, Quality of service, Scheduling and Cloud computing.
The study incorporates disciplines such as Key management and Computer security, Data integrity, Computer security model in addition to Cloud computing.
Many of his studies on Computer network involve topics that are commonly interrelated, such as Wi-Fi.
Geyong Min combines subjects such as Computation offloading, Edge device, Networking hardware and Reinforcement learning with his study of Server.
Geyong Min has researched Edge computing in several fields, including Data modeling, Scalability, Task analysis and Upload.
His most cited work include:
- Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage (167 citations)
- Advanced internet of things for personalised healthcare systems (141 citations)
- Enabling Collaborative Edge Computing for Software Defined Vehicular Networks (113 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Distributed computing, Quality of service, Wireless and Real-time computing.
In his study, Local area network is inextricably linked to Throughput, which falls within the broad field of Computer network.
His Distributed computing study incorporates themes from Network performance, Queueing theory, Server, Scheduling and Interconnection.
His studies examine the connections between Queueing theory and genetics, as well as such issues in Queue, with regards to Packet loss.
His Server research integrates issues from Scalability and Edge computing.
The concepts of his Quality of service study are interwoven with issues in Network congestion, Resource allocation, Frame, Telecommunications network and Provisioning.
He most often published in these fields:
- Computer network (38.15%)
- Distributed computing (31.48%)
- Quality of service (18.15%)
What were the highlights of his more recent work (between 2017-2021)?
- Distributed computing (31.48%)
- Computer network (38.15%)
- Server (7.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Distributed computing, Computer network, Server, Edge computing and Wireless.
His research in Distributed computing intersects with topics in Energy consumption, Quality of service, Network topology, Cloud computing and Reinforcement learning.
His work in Quality of service covers topics such as Resource allocation which are related to areas like Service.
His work deals with themes such as Efficient energy use and Vehicular ad hoc network, which intersect with Computer network.
His study in Server is interdisciplinary in nature, drawing from both Network architecture, Scalability, Virtual network and Latency.
His studies in Edge computing integrate themes in fields like Data modeling and Edge device.
Between 2017 and 2021, his most popular works were:
- Enabling Collaborative Edge Computing for Software Defined Vehicular Networks (113 citations)
- High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm (112 citations)
- Lifelogging Data Validation Model for Internet of Things Enabled Personalized Healthcare (95 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His primary scientific interests are in Distributed computing, Server, Computer network, Edge computing and Cloud computing.
Geyong Min has included themes like Energy consumption, Quality of service, The Internet, Scheduling and Reinforcement learning in his Distributed computing study.
His research in Quality of service tackles topics such as Resource allocation which are related to areas like Communication channel.
He combines subjects such as Scalability, Throughput and Networking hardware with his study of Server.
His Computer network study frequently draws connections between adjacent fields such as Vehicular ad hoc network.
The Edge computing study combines topics in areas such as Wireless, Task analysis, Data modeling and Upload.
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