What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Statistics
Chau Yuen mainly focuses on Wireless, Computer network, Smart grid, Electronic engineering and MIMO.
His work carried out in the field of Wireless brings together such families of science as Artificial neural network, Energy harvesting, Efficient energy use and Base station.
His Computer network study combines topics in areas such as Cognitive radio, Goodput and Relay.
His study in Smart grid is interdisciplinary in nature, drawing from both Energy management, Mathematical optimization, Game theory, Testbed and Load management.
As part of the same scientific family, he usually focuses on Electronic engineering, concentrating on Telecommunications link and intersecting with Communications system.
His MIMO research is multidisciplinary, relying on both Channel state information and Control theory.
His most cited work include:
- Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication (715 citations)
- Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come (573 citations)
- Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications (351 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Communication channel, Algorithm, MIMO and Wireless.
His studies deal with areas such as Wireless network, Real-time computing and Relay as well as Computer network.
His Communication channel research integrates issues from Transmitter, Transmission, Telecommunications link and Topology.
His research in Telecommunications link intersects with topics in Electronic engineering and Base station.
His MIMO research focuses on Channel state information and how it connects with Beamforming.
The study of Wireless is intertwined with the study of Efficient energy use in a number of ways.
He most often published in these fields:
- Computer network (17.19%)
- Communication channel (17.05%)
- Algorithm (17.46%)
What were the highlights of his more recent work (between 2019-2021)?
- Wireless (12.01%)
- Wireless network (8.32%)
- Artificial intelligence (5.87%)
In recent papers he was focusing on the following fields of study:
Chau Yuen mainly investigates Wireless, Wireless network, Artificial intelligence, Communication channel and Optimization problem.
The Wireless study combines topics in areas such as Electronic engineering and Beamforming.
His studies in Wireless network integrate themes in fields like Computer network, Latency, Telecommunications link and Physical layer.
His Computer network study integrates concerns from other disciplines, such as Throughput and Power control.
Chau Yuen has researched Communication channel in several fields, including Resource allocation, Benchmark, Robustness and Communications system.
He works mostly in the field of Communications system, limiting it down to concerns involving Base station and, occasionally, Algorithm.
Between 2019 and 2021, his most popular works were:
- Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (234 citations)
- Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends (218 citations)
- Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning (159 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Statistics
Chau Yuen spends much of his time researching Wireless, Wireless network, Electronic engineering, Base station and Communication channel.
His study in Wireless is interdisciplinary in nature, drawing from both Radio propagation, Optimization problem and Distributed computing.
Chau Yuen has included themes like Mathematical theory, State and Systems engineering in his Wireless network study.
His Electronic engineering course of study focuses on Reinforcement learning and Resource allocation, Energy, Computer network and Resource.
His research integrates issues of Computer engineering and Communications system in his study of Communication channel.
His Beamforming research is multidisciplinary, relying on both MIMO, Efficient energy use and Reduction.
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