What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Statistics
- Computer network
Relay, Electronic engineering, Wireless, Communication channel and Topology are his primary areas of study.
His Electronic engineering research incorporates themes from Maximum power transfer theorem, Maximal-ratio combining, Hop and Precoding.
Caijun Zhong interconnects Beamforming and Information transfer in the investigation of issues within Wireless.
His research integrates issues of Duplex and Transmitter power output in his study of Communication channel.
His Topology research includes themes of Signal-to-noise ratio, Additive white Gaussian noise and Nakagami distribution, Fading.
His research investigates the connection with Fading and areas like MIMO which intersect with concerns in Control theory, Computer network and Spectral efficiency.
His most cited work include:
- Wireless Information and Power Transfer With Full Duplex Relaying (338 citations)
- Application of smart antenna technologies in simultaneous wireless information and power transfer (334 citations)
- Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems (215 citations)
What are the main themes of his work throughout his whole career to date?
Caijun Zhong spends much of his time researching Communication channel, Electronic engineering, Topology, Wireless and MIMO.
His studies deal with areas such as Algorithm, Transmitter power output and Cumulative distribution function as well as Communication channel.
Caijun Zhong studied Electronic engineering and Communications system that intersect with Energy and Detector.
His Topology research includes elements of Signal-to-noise ratio, Relay, Rayleigh fading and Antenna.
His Wireless study combines topics in areas such as Computer network, Maximum power transfer theorem, Beamforming and Distributed computing.
His work investigates the relationship between MIMO and topics such as Control theory that intersect with problems in Spatial correlation.
He most often published in these fields:
- Communication channel (36.36%)
- Electronic engineering (26.92%)
- Topology (26.92%)
What were the highlights of his more recent work (between 2019-2021)?
- Communication channel (36.36%)
- Beamforming (18.18%)
- Wireless (25.87%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Communication channel, Beamforming, Wireless, Algorithm and Base station.
Caijun Zhong merges Communication channel with Robust design in his study.
His study on Beamforming also encompasses disciplines like
- Telecommunications link that connect with fields like Radio access network,
- Iterative method together with Rayleigh fading and Rician fading,
- Joint which is related to area like Reinforcement learning, Beamwidth, Generalization and Quantization,
- Wireless sensor network together with Relay.
His Wireless research incorporates elements of Topology, Optimization problem, Computer network and Computation.
His research in Topology tackles topics such as Signal-to-interference-plus-noise ratio which are related to areas like Non-line-of-sight propagation.
His biological study spans a wide range of topics, including Wideband, Norm, Low-rank approximation, Upper and lower bounds and Channel state information.
Between 2019 and 2021, his most popular works were:
- Unsupervised Learning for Passive Beamforming (46 citations)
- Sum Rate Optimization for Two Way Communications With Intelligent Reflecting Surface (36 citations)
- Programmable Metasurface-Based Multicast Systems: Design and Analysis (27 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Computer network
- Statistics
Caijun Zhong mainly focuses on Wireless, Beamforming, Communication channel, Algorithm and Communications system.
His work carried out in the field of Wireless brings together such families of science as Telecommunications link, Spectral efficiency, Base station and Topology.
The Beamforming study combines topics in areas such as Transmitter power output, Iterative method, Computation, Channel state information and Robustness.
His Communication channel research integrates issues from Distributed computing, Norm, Linear programming, Low-rank approximation and Ode.
The various areas that he examines in his Communications system study include Upper and lower bounds and Mathematical optimization.
Within one scientific family, Caijun Zhong focuses on topics pertaining to MIMO under Mathematical optimization, and may sometimes address concerns connected to Optimization problem.
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