H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 46 Citations 7,393 306 World Ranking 3457 National Ranking 322

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Operating system

His primary areas of study are Computer network, Distributed computing, Cloud computing, Wireless and Wireless network. His Computer network research incorporates themes from The Internet and Vehicular ad hoc network. The Distributed computing study combines topics in areas such as Resource allocation, Mobile computing, Heuristic and Social network.

His Cloud computing research is multidisciplinary, incorporating elements of Radio access network and Denial-of-service attack. His Wireless research includes elements of Scheduling and Cellular network. His Wireless network study combines topics from a wide range of disciplines, such as MIMO, Protocol stack, Wireless sensor network and Physical layer.

His most cited work include:

  • Toward cloud-based vehicular networks with efficient resource management (236 citations)
  • On effective offloading services for resource-constrained mobile devices running heavier mobile Internet applications (199 citations)
  • Convergence of ethernet PON and IEEE 802.16 broadband access networks and its QoS-aware dynamic bandwidth allocation scheme (147 citations)

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

Kun Yang spends much of his time researching Computer network, Distributed computing, Wireless, Resource allocation and Wireless network. His work on Computer network deals in particular with Quality of service, Cellular network, Mobile computing, Wireless sensor network and Base station. His Mobile computing research is multidisciplinary, incorporating perspectives in Mobile device and Mobile telephony.

His Distributed computing research integrates issues from Energy consumption, Cloud computing, Mobile edge computing and Efficient energy use. His studies in Wireless integrate themes in fields like Telecommunications network, Real-time computing and Telecommunications link. His Resource allocation study also includes

  • Bargaining problem which connect with Game theory,
  • Relay which is related to area like Bandwidth allocation.

He most often published in these fields:

  • Computer network (48.97%)
  • Distributed computing (28.02%)
  • Wireless (23.23%)

What were the highlights of his more recent work (between 2017-2021)?

  • Wireless (23.23%)
  • Mobile edge computing (10.02%)
  • Computer network (48.97%)

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

His scientific interests lie mostly in Wireless, Mobile edge computing, Computer network, Resource allocation and Energy consumption. His biological study spans a wide range of topics, including Telecommunications network, Maximum power transfer theorem, Electronic engineering and Telecommunications link. His research in Mobile edge computing intersects with topics in Real-time computing, Distributed computing and User equipment.

He combines subjects such as Wireless ad hoc network and Communication channel with his study of Computer network. His Resource allocation study combines topics in areas such as Artificial neural network and Cellular network. The various areas that Kun Yang examines in his Energy consumption study include Quality of service, Algorithm, Optimization problem and Mobile device.

Between 2017 and 2021, his most popular works were:

  • Joint Energy Minimization and Resource Allocation in C-RAN with Mobile Cloud (131 citations)
  • Wireless Powered Cooperation-Assisted Mobile Edge Computing (77 citations)
  • A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework (67 citations)

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

  • Computer network
  • The Internet
  • Operating system

His primary areas of investigation include Wireless, Cloud computing, Mobile edge computing, Computer network and Resource allocation. His Wireless study integrates concerns from other disciplines, such as Telecommunications network, Maximum power transfer theorem, Electronic engineering and Information transfer. His Cloud computing research integrates issues from Computer security, Scheduling, Radio access network and Mobile telephony.

Kun Yang has included themes like Wireless ad hoc network and Remote radio head in his Computer network study. His Resource allocation study combines topics from a wide range of disciplines, such as Access network, Distributed computing, Iterative method, Optimization problem and Telecommunications link. His Load balancing study in the realm of Distributed computing interacts with subjects such as Flexibility.

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

Toward cloud-based vehicular networks with efficient resource management

Rong Yu;Yan Zhang;Stein Gjessing;Wenlong Xia.
IEEE Network (2013)

394 Citations

On effective offloading services for resource-constrained mobile devices running heavier mobile Internet applications

Kun Yang;Shumao Ou;Hsiao-Hwa Chen.
IEEE Communications Magazine (2008)

249 Citations

Mobile Social Networks: Architectures, Social Properties, and Key Research Challenges

Nikolaos Vastardis;Kun Yang.
IEEE Communications Surveys and Tutorials (2013)

201 Citations

Convergence of ethernet PON and IEEE 802.16 broadband access networks and its QoS-aware dynamic bandwidth allocation scheme

Kun Yang;Shumao Ou;K. Guild;Hsiao-Hwa Chen.
IEEE Journal on Selected Areas in Communications (2009)

183 Citations

Joint Energy Minimization and Resource Allocation in C-RAN with Mobile Cloud

Kezhi Wang;Kun Yang;Chathura Sarathchandra Magurawalage.
IEEE Transactions on Cloud Computing (2018)

166 Citations

A Multihop Peer-Communication Protocol With Fairness Guarantee for IEEE 802.16-Based Vehicular Networks

Kun Yang;Shumao Ou;Hsiao-Hwa Chen;Jianghua He.
IEEE Transactions on Vehicular Technology (2007)

156 Citations

Wireless Powered Cooperation-Assisted Mobile Edge Computing

Xiaoyan Hu;Kai-Kit Wong;Kun Yang.
IEEE Transactions on Wireless Communications (2018)

148 Citations

A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks

Andreas Konstantinidis;Kun Yang;Qingfu Zhang;Demetrios Zeinalipour-Yazti.
Computer Networks (2010)

145 Citations

A Heuristic Clustering-Based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment

Jia Zhao;Kun Yang;Xiaohui Wei;Yan Ding.
IEEE Transactions on Parallel and Distributed Systems (2016)

144 Citations

An effective offloading middleware for pervasive services on mobile devices

Shumao Ou;Kun Yang;Jie Zhang.
Pervasive and Mobile Computing (2007)

130 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 Kun Yang

Yan Zhang

Yan Zhang

Chinese Academy of Sciences

Publications: 34

Victor C. M. Leung

Victor C. M. Leung

University of British Columbia

Publications: 33

Feng Xia

Feng Xia

Federation University Australia

Publications: 27

Dusit Niyato

Dusit Niyato

Nanyang Technological University

Publications: 25

Zhu Han

Zhu Han

University of Houston

Publications: 25

Choong Seon Hong

Choong Seon Hong

Kyung Hee University

Publications: 19

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 18

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 18

Rong Yu

Rong Yu

Guangdong University of Technology

Publications: 17

Tony Q. S. Quek

Tony Q. S. Quek

Singapore University of Technology and Design

Publications: 15

Cunhua Pan

Cunhua Pan

Queen Mary University of London

Publications: 15

Ping Wang

Ping Wang

York University

Publications: 14

Ekram Hossain

Ekram Hossain

University of Manitoba

Publications: 14

Jin Wang

Jin Wang

Changsha University of Science and Technology

Publications: 14

Craig William Fellenstein

Craig William Fellenstein

IBM (United States)

Publications: 14

Something went wrong. Please try again later.