What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
His primary areas of study are Computer network, Mathematical optimization, Communication channel, Artificial noise and Channel state information.
His Computer network study integrates concerns from other disciplines, such as Wireless, Throughput, Physical layer, Transmission and Secrecy.
His study in Wireless is interdisciplinary in nature, drawing from both Cellular network and Base station.
His research integrates issues of Computational complexity theory, Energy efficient transmission and Transmitter power output in his study of Mathematical optimization.
His study looks at the relationship between Communication channel and fields such as Upper and lower bounds, as well as how they intersect with chemical problems.
His Channel state information research is multidisciplinary, incorporating elements of Relay and Beamforming.
His most cited work include:
- Distributed Beamforming for Physical-Layer Security of Two-Way Relay Networks (259 citations)
- Secrecy Sum Rate Maximization in Non-orthogonal Multiple Access (194 citations)
- Energy-Efficient Transmission Design in Non-orthogonal Multiple Access (185 citations)
What are the main themes of his work throughout his whole career to date?
Hui-Ming Wang mostly deals with Computer network, Communication channel, Transmission, Wireless and Channel state information.
His Base station study, which is part of a larger body of work in Computer network, is frequently linked to Jamming, bridging the gap between disciplines.
His research in Communication channel intersects with topics in Transmitter, Algorithm, Mathematical optimization and Relay.
His work carried out in the field of Transmission brings together such families of science as Eavesdropping, Electronic engineering and Transmitter power output.
His study in Wireless is interdisciplinary in nature, drawing from both Network packet and Communications system.
His Channel state information study combines topics from a wide range of disciplines, such as Artificial noise and Beamforming.
He most often published in these fields:
- Computer network (46.15%)
- Communication channel (34.80%)
- Transmission (26.37%)
What were the highlights of his more recent work (between 2019-2021)?
- Communication channel (34.80%)
- Transmitter (17.95%)
- Computer network (46.15%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Communication channel, Transmitter, Computer network, Channel state information and Transmission.
His studies deal with areas such as Wireless and Algorithm as well as Communication channel.
His Computer network research incorporates themes from Secrecy and Throughput.
The concepts of his Throughput study are interwoven with issues in Mathematical optimization, Cellular network, Physical layer and Precoding.
His Channel state information research is multidisciplinary, incorporating elements of Artificial noise and Fading.
His study focuses on the intersection of Transmission and fields such as Reliability with connections in the field of Constraint.
Between 2019 and 2021, his most popular works were:
- Secure MIMO Transmission via Intelligent Reflecting Surface (63 citations)
- Secrecy and Covert Communications Against UAV Surveillance via Multi-Hop Networks (17 citations)
- Intelligent Reflecting Surfaces Assisted Secure Transmission Without Eavesdropper's CSI (15 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Computer network
- Telecommunications
The scientist’s investigation covers issues in Transmitter, Wireless, Communication channel, Transmission and Channel state information.
His research integrates issues of MIMO and Real-time computing in his study of Transmitter.
His Wireless research is multidisciplinary, relying on both Distributed computing, Quality of service, Iterative method, Optimization problem and Scheduling.
His work deals with themes such as Artificial noise and Fading, which intersect with Channel state information.
Hui-Ming Wang has researched Artificial noise in several fields, including Beamforming and Throughput.
As part of one scientific family, Hui-Ming Wang deals mainly with the area of Relay, narrowing it down to issues related to the Physical layer, and often Mathematical optimization and Decoding methods.
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