H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 93 Citations 37,331 602 World Ranking 212 National Ranking 4
Electronics and Electrical Engineering H-index 83 Citations 26,896 459 World Ranking 118 National Ranking 5

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Telecommunications

His primary areas of investigation include Computer network, Wireless, Wireless network, Cognitive radio and Distributed computing. His study in Computer network is interdisciplinary in nature, drawing from both Telecommunications and Radio resource management. His Wireless research integrates issues from Mobile telephony, Wireless sensor network, Radio frequency and Energy harvesting.

His Wireless network research includes themes of Access network, Channel allocation schemes and Frequency allocation. His Cognitive radio research is multidisciplinary, incorporating perspectives in Transmitter, Radio spectrum, Game theory and Nash equilibrium. His work carried out in the field of Distributed computing brings together such families of science as Energy consumption, Stochastic programming, Resource, Provisioning and Mobile device.

His most cited work include:

  • A survey of mobile cloud computing: architecture, applications, and approaches (1701 citations)
  • Wireless Networks With RF Energy Harvesting: A Contemporary Survey (1643 citations)
  • A Survey on Software-Defined Networking (530 citations)

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

His primary scientific interests are in Computer network, Wireless, Wireless network, Distributed computing and Cognitive radio. Dusit Niyato combines subjects such as Throughput and Communication channel with his study of Computer network. His Wireless study integrates concerns from other disciplines, such as Wireless sensor network, Electronic engineering, Base station and Transmission.

In his research on the topic of Wireless sensor network, Wi-Fi array is strongly related with Key distribution in wireless sensor networks. Dusit Niyato works in the field of Wireless network, namely Radio resource management. His research integrates issues of Energy consumption, Edge computing, Server, Mobile device and Reinforcement learning in his study of Distributed computing.

He most often published in these fields:

  • Computer network (41.64%)
  • Wireless (28.26%)
  • Wireless network (17.80%)

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

  • Wireless (28.26%)
  • Distributed computing (17.69%)
  • Computer network (41.64%)

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

Dusit Niyato mainly investigates Wireless, Distributed computing, Computer network, Reinforcement learning and Beamforming. His Wireless research incorporates themes from Transmission, Communication channel and Data science. His studies in Distributed computing integrate themes in fields like Incentive, Edge computing, Server and Energy consumption.

His studies deal with areas such as Wireless network and Physical layer as well as Computer network. His Wireless network study combines topics from a wide range of disciplines, such as Network performance and Power control. His Beamforming study incorporates themes from Transmitter power output, Base station, Communications system, Telecommunications link and Power budget.

Between 2019 and 2021, his most popular works were:

  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey (190 citations)
  • Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (188 citations)
  • Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (69 citations)

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

  • Computer network
  • The Internet
  • Telecommunications

The scientist’s investigation covers issues in Wireless, Computer network, Artificial intelligence, Communication channel and Edge computing. His Wireless research is multidisciplinary, relying on both Transmitter, Signal, Beamforming and Data science. The Computer network study combines topics in areas such as Crowdsourcing, Variety and Mobile device.

Dusit Niyato has included themes like Network planning and design, Wireless network, Energy and Reinforcement learning in his Communication channel study. His biological study spans a wide range of topics, including Edge device, Computer security, Hash function, Mobile edge computing and Service provider. Dusit Niyato has researched Deep learning in several fields, including Distributed computing and Energy management.

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

A survey of mobile cloud computing: architecture, applications, and approaches

Hoang T. Dinh;Chonho Lee;Dusit Niyato;Ping Wang.
Wireless Communications and Mobile Computing (2013)

2497 Citations

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim.
IEEE Communications Surveys and Tutorials (2015)

1763 Citations

Game Theory in Wireless and Communication Networks: Theory, Models, and Applications

Zhu Han;Dusit Niyato;Walid Saad;Tamer Baar.
(2011)

1199 Citations

Dynamic Spectrum Access and Management in Cognitive Radio Networks

Ekram Hossain;Dusit Niyato;Zhu Han.
(2009)

818 Citations

A Survey on Software-Defined Networking

Wenfeng Xia;Yonggang Wen;Chuan Heng Foh;Dusit Niyato.
IEEE Communications Surveys and Tutorials (2015)

798 Citations

Optimization of Resource Provisioning Cost in Cloud Computing

Sivadon Chaisiri;Bu-Sung Lee;Dusit Niyato.
IEEE Transactions on Services Computing (2012)

675 Citations

Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion

D. Niyato;E. Hossain.
IEEE Journal on Selected Areas in Communications (2008)

668 Citations

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Mohammad Abu Alsheikh;Shaowei Lin;Dusit Niyato;Hwee-Pink Tan.
IEEE Communications Surveys and Tutorials (2014)

570 Citations

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim.
IEEE Communications Surveys and Tutorials (2016)

560 Citations

Dynamic Spectrum Access and Management in Cognitive Radio Networks: Introduction

Ekram Hossain;Dusit Niyato;Zhu Han.
(2009)

521 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 Dusit Niyato

Zhu Han

Zhu Han

University of Houston

Publications: 275

Walid Saad

Walid Saad

Virginia Tech

Publications: 116

Victor C. M. Leung

Victor C. M. Leung

University of British Columbia

Publications: 101

Jianwei Huang

Jianwei Huang

Chinese University of Hong Kong, Shenzhen

Publications: 95

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 85

Ekram Hossain

Ekram Hossain

University of Manitoba

Publications: 82

Lingyang Song

Lingyang Song

Peking University

Publications: 75

Choong Seon Hong

Choong Seon Hong

Kyung Hee University

Publications: 71

Alagan Anpalagan

Alagan Anpalagan

Ryerson University

Publications: 71

Xuemin Shen

Xuemin Shen

University of Waterloo

Publications: 67

Mohsen Guizani

Mohsen Guizani

Qatar University

Publications: 66

Dong In Kim

Dong In Kim

Sungkyunkwan University

Publications: 65

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 61

Yan Zhang

Yan Zhang

Chinese Academy of Sciences

Publications: 58

Rui Zhang

Rui Zhang

National University of Singapore

Publications: 55

Something went wrong. Please try again later.