What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
Sheng Zhou mainly investigates Computer network, Cellular network, Base station, Quality of service and Wireless.
The Scheduling research Sheng Zhou does as part of his general Computer network study is frequently linked to other disciplines of science, such as Mobile telephony, therefore creating a link between diverse domains of science.
The study incorporates disciplines such as Network planning and design, Real-time computing, Simulation, Mathematical optimization and Spectral efficiency in addition to Cellular network.
Sheng Zhou combines subjects such as Overhead, Transmitter power output, Control theory, Traffic intensity and Blocking with his study of Base station.
His Quality of service research incorporates elements of Distributed computing, Dynamic programming, Server and Heterogeneous network.
His Wireless research is multidisciplinary, incorporating elements of Network packet, Communication channel, Fading, Energy harvesting and Transmission.
His most cited work include:
- EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks (167 citations)
- Spatial modeling of the traffic density in cellular networks (141 citations)
- Optimal Combination of Base Station Densities for Energy-Efficient Two-Tier Heterogeneous Cellular Networks (132 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer network, Base station, Distributed computing, Wireless and Communication channel.
The concepts of his Computer network study are interwoven with issues in Wireless network and Transmission.
In his study, Transmitter power output is inextricably linked to Cellular network, which falls within the broad field of Base station.
As a member of one scientific family, Sheng Zhou mostly works in the field of Distributed computing, focusing on Mobile edge computing and, on occasion, Mobility management.
His research in Wireless intersects with topics in Fading, Relay, Energy harvesting, Random access and Network topology.
Sheng Zhou works mostly in the field of Communication channel, limiting it down to topics relating to Overhead and, in certain cases, Beamforming, as a part of the same area of interest.
He most often published in these fields:
- Computer network (34.69%)
- Base station (30.94%)
- Distributed computing (29.06%)
What were the highlights of his more recent work (between 2018-2021)?
- Wireless (25.00%)
- Distributed computing (29.06%)
- Scheduling (15.62%)
In recent papers he was focusing on the following fields of study:
Sheng Zhou mostly deals with Wireless, Distributed computing, Scheduling, Communication channel and Computer network.
He has included themes like Access network, Real-time computing, Edge computing and Latency in his Wireless study.
His Distributed computing research incorporates themes from Deep learning, Computation offloading, Task and Key.
His Scheduling study integrates concerns from other disciplines, such as Network packet, Mathematical optimization and Metric.
The study incorporates disciplines such as Task and Base station in addition to Mathematical optimization.
Random access and Quality of service are the core of his Computer network study.
Between 2018 and 2021, his most popular works were:
- Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems (61 citations)
- Timely Status Update in Wireless Uplinks: Analytical Solutions With Asymptotic Optimality (56 citations)
- Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks (33 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
His primary areas of investigation include Distributed computing, Scheduling, Wireless, Communication channel and Wireless network.
Sheng Zhou works mostly in the field of Distributed computing, limiting it down to concerns involving Task and, occasionally, Resource management.
His Scheduling study combines topics in areas such as Mathematical optimization and Network packet.
As part of his studies on Mathematical optimization, Sheng Zhou often connects relevant areas like Base station.
His studies deal with areas such as Computation offloading, Deep learning, Artificial intelligence, Task analysis and Computer network as well as Wireless.
His research integrates issues of Control system and Systems design in his study of Computer network.
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