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.
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