What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Statistics
The scientist’s investigation covers issues in Computer network, Cognitive radio, Wireless sensor network, Communication channel and Wireless.
Shuguang Cui has included themes like Wireless network and Transmission in his Computer network study.
Shuguang Cui works mostly in the field of Transmission, limiting it down to topics relating to Throughput and, in certain cases, Real-time computing, as a part of the same area of interest.
His research integrates issues of Radio spectrum, Electronic engineering, Wideband and Distributed computing in his study of Cognitive radio.
His work carried out in the field of Wireless sensor network brings together such families of science as Sensor array, Sensor fusion, Efficient energy use and Control theory.
His Communication channel research includes themes of Beamforming, Telecommunications link, Base station and Software-defined radio.
His most cited work include:
- Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks (1449 citations)
- Energy-constrained modulation optimization (1330 citations)
- Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks (937 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Communication channel, Wireless, Mathematical optimization and Cognitive radio.
Shuguang Cui interconnects Wireless network, Transmission, Throughput and Wireless ad hoc network in the investigation of issues within Computer network.
In his study, Relay and Channel capacity is strongly linked to Topology, which falls under the umbrella field of Communication channel.
Reinforcement learning and MIMO is closely connected to Base station in his research, which is encompassed under the umbrella topic of Wireless.
The Cognitive radio study combines topics in areas such as Electronic engineering and Wideband.
His Wireless sensor network research is multidisciplinary, incorporating perspectives in Energy consumption, Algorithm, Scheduling, Efficient energy use and Sensor fusion.
He most often published in these fields:
- Computer network (24.94%)
- Communication channel (21.71%)
- Wireless (21.02%)
What were the highlights of his more recent work (between 2019-2021)?
- Wireless (21.02%)
- Artificial intelligence (11.32%)
- Base station (9.24%)
In recent papers he was focusing on the following fields of study:
Shuguang Cui focuses on Wireless, Artificial intelligence, Base station, Wireless network and Optimization problem.
His Wireless research is multidisciplinary, relying on both Computer network, Edge device, Computer engineering and Compressed sensing.
His Base station research is multidisciplinary, incorporating elements of Real-time computing, Telecommunications link and Communication channel.
His work deals with themes such as Electronic engineering, Beamforming and Communications system, which intersect with Communication channel.
His Optimization problem study necessitates a more in-depth grasp of Mathematical optimization.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Relay and Efficient energy use.
Between 2019 and 2021, his most popular works were:
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks (170 citations)
- Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis (88 citations)
- PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling (44 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Statistics
His main research concerns Wireless, Base station, Wireless network, Artificial intelligence and Optimization problem.
Shuguang Cui has researched Wireless in several fields, including Edge device, Mathematical optimization, Minification, Computer network and Joint.
Shuguang Cui focuses mostly in the field of Computer network, narrowing it down to topics relating to Probabilistic logic and, in certain cases, Artificial neural network.
His Base station study integrates concerns from other disciplines, such as Real-time computing, Telecommunications link and Communication channel.
His studies deal with areas such as Distributed computing, Resource allocation and Reinforcement learning as well as Optimization problem.
His Overhead study combines topics from a wide range of disciplines, such as Electronic engineering, Throughput and Redundancy.
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