What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
Ying-Chang Liang mainly investigates Cognitive radio, Communication channel, Computer network, Wireless and Electronic engineering.
The various areas that Ying-Chang Liang examines in his Cognitive radio study include Transmitter, Transmitter power output, Power control, Throughput and Software-defined radio.
He has researched Communication channel in several fields, including Frequency band, Data transmission, Noise power and Algorithm, Covariance matrix.
His research integrates issues of Relay, Channel allocation schemes and Cognitive network in his study of Computer network.
His Wireless research is multidisciplinary, incorporating perspectives in Spectral efficiency, Telecommunications link and Electrical engineering.
The Electronic engineering study combines topics in areas such as Transmission and Detector.
His most cited work include:
- Sensing-Throughput Tradeoff for Cognitive Radio Networks (2525 citations)
- Eigenvalue-based spectrum sensing algorithms for cognitive radio (966 citations)
- Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks (800 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Communication channel, Computer network, Cognitive radio, Electronic engineering and Wireless.
His Communication channel study integrates concerns from other disciplines, such as Transmitter and Algorithm.
His Computer network study combines topics from a wide range of disciplines, such as Wireless network, Throughput, Power control and Relay.
His work in Cognitive radio covers topics such as Transmitter power output which are related to areas like Topology and Spectrum sharing.
He usually deals with Electronic engineering and limits it to topics linked to Telecommunications link and Base station and Code division multiple access.
He interconnects Wireless sensor network, Energy, Spectral efficiency and Communications system in the investigation of issues within Wireless.
He most often published in these fields:
- Communication channel (31.20%)
- Computer network (28.27%)
- Cognitive radio (27.73%)
What were the highlights of his more recent work (between 2018-2021)?
- Wireless (18.27%)
- Communication channel (31.20%)
- Computer network (28.27%)
In recent papers he was focusing on the following fields of study:
Ying-Chang Liang focuses on Wireless, Communication channel, Computer network, Reinforcement learning and Transmission.
The concepts of his Wireless study are interwoven with issues in Real-time computing, Beamforming, Telecommunications link and Transmitter power output.
His Communication channel research is multidisciplinary, incorporating elements of Algorithm, Cellular network, Electronic engineering and Overhead.
His Computer network study combines topics in areas such as Information privacy and Throughput.
The study incorporates disciplines such as Network packet and Fading in addition to Transmission.
His studies deal with areas such as Cognitive radio and Wireless power transfer as well as Transmitter.
Between 2018 and 2021, his most popular works were:
- Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (339 citations)
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey (190 citations)
- Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security (185 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Statistics
His primary areas of investigation include Wireless, Computer network, Wireless network, Transmission and Communication channel.
His Wireless research is multidisciplinary, relying on both Relay, Beamforming, Telecommunications link and Benchmark.
His research in Computer network intersects with topics in Transmission time, Throughput and Reinforcement learning.
His Transmission research includes themes of Transmitter, Function, Bandwidth and Fading.
In most of his Transmitter studies, his work intersects topics such as Cognitive radio.
His biological study spans a wide range of topics, including Algorithm and Time division multiple access.
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