H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 47 Citations 7,741 411 World Ranking 3273 National Ranking 204

Overview

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.

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

Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage

Yong Yu;Man Ho Au;Giuseppe Ateniese;Xinyi Huang.
IEEE Transactions on Information Forensics and Security (2017)

259 Citations

Advanced internet of things for personalised healthcare systems

Jun Qi;Po Yang;Geyong Min;Oliver Amft.
Pervasive and Mobile Computing (2017)

209 Citations

High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm

Gai-Ge Wang;Xingjuan Cai;Zhihua Cui;Geyong Min.
IEEE Transactions on Emerging Topics in Computing (2020)

179 Citations

Enabling Collaborative Edge Computing for Software Defined Vehicular Networks

Kai Wang;Hao Yin;Wei Quan;Geyong Min.
IEEE Network (2018)

141 Citations

Minimizing Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks

Zhuofan Liao;Jianxin Wang;Shigeng Zhang;Jiannong Cao.
IEEE Transactions on Parallel and Distributed Systems (2015)

141 Citations

A Tensor-Based Approach for Big Data Representation and Dimensionality Reduction

Liwei Kuang;Fei Hao;Laurence T. Yang;Man Lin.
IEEE Transactions on Emerging Topics in Computing (2014)

139 Citations

Fuzzy Identity-Based Data Integrity Auditing for Reliable Cloud Storage Systems

Yannan Li;Yong Yu;Geyong Min;Willy Susilo.
IEEE Transactions on Dependable and Secure Computing (2019)

133 Citations

A Framework of Fog Computing: Architecture, Challenges, and Optimization

Yang Liu;Jonathan E. Fieldsend;Geyong Min.
IEEE Access (2017)

132 Citations

Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems

Hancong Duan;Chao Chen;Geyong Min;Yu Wu.
Future Generation Computer Systems (2017)

128 Citations

An Intelligent Information Forwarder for Healthcare Big Data Systems With Distributed Wearable Sensors

Ping Jiang;Jonathan Winkley;Can Zhao;Robert Munnoch.
IEEE Systems Journal (2016)

126 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.

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