What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- The Internet
Li-Chun Wang mostly deals with Computer network, Communication channel, Cognitive radio, Transmission and Queueing theory.
His Computer network study combines topics in areas such as Wireless and Throughput.
The concepts of his Communication channel study are interwoven with issues in Transmitter and Electronic engineering.
His Cognitive radio study incorporates themes from Real-time computing and Handover.
His Transmission research incorporates themes from Data transmission, Queuing delay, Power control and Wideband.
Li-Chun Wang has researched Queueing theory in several fields, including Admission control and Greedy algorithm.
His most cited work include:
- Key technologies for 5G wireless systems (331 citations)
- Modeling and Analysis for Spectrum Handoffs in Cognitive Radio Networks (158 citations)
- Node computing data encryption method (147 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Communication channel, Electronic engineering, Base station and Throughput.
His Computer network research is multidisciplinary, relying on both Wireless, Wireless network, Transmission and Distributed computing.
His Communication channel research is multidisciplinary, incorporating elements of Algorithm and Handover.
His Electronic engineering research includes elements of Fading, MIMO, Interference, Orthogonal frequency-division multiplexing and Telecommunications link.
His Base station research incorporates elements of Directional antenna, Cellular network, Real-time computing and Code division multiple access.
Li-Chun Wang has included themes like Network packet and Power control in his Real-time computing study.
He most often published in these fields:
- Computer network (51.62%)
- Communication channel (20.60%)
- Electronic engineering (17.36%)
What were the highlights of his more recent work (between 2018-2021)?
- Base station (15.74%)
- Real-time computing (14.12%)
- Wireless (14.35%)
In recent papers he was focusing on the following fields of study:
Li-Chun Wang focuses on Base station, Real-time computing, Wireless, Computer network and Communication channel.
His Base station study also includes
- Time complexity which is related to area like Cellular network, Computation and User equipment,
- Cluster analysis, which have a strong connection to Throughput and Sequence,
- Service which connect with Human–computer interaction.
His studies in Real-time computing integrate themes in fields like Wireless network, Heterogeneous network, Quality of service and Interference.
Li-Chun Wang focuses mostly in the field of Wireless, narrowing it down to topics relating to Efficient energy use and, in certain cases, Flexibility, Telecommunications, Radio access network, Unsupervised learning and Power control.
Li-Chun Wang frequently studies issues relating to Mobile service and Computer network.
His studies deal with areas such as Telecommunications link and Communications system as well as Communication channel.
Between 2018 and 2021, his most popular works were:
- Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges (44 citations)
- On-Demand Density-Aware UAV Base Station 3D Placement for Arbitrarily Distributed Users With Guaranteed Data Rates (31 citations)
- Reinforcement Learning-Based Downlink Interference Control for Ultra-Dense Small Cells (22 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- The Internet
His primary areas of study are Base station, Real-time computing, Artificial intelligence, Cluster analysis and Reinforcement learning.
As a member of one scientific family, he mostly works in the field of Real-time computing, focusing on Efficient energy use and, on occasion, Femtocell, Quality of service, Flexibility, Key and Radio access network.
His research in Artificial intelligence intersects with topics in Wireless, Pursuer, Machine learning and Mobile device.
The study incorporates disciplines such as Matching, Unsupervised learning and Throughput in addition to Cluster analysis.
His work carried out in the field of Throughput brings together such families of science as Communication channel and Power control.
The various areas that Li-Chun Wang examines in his Reinforcement learning study include Artificial neural network and Cellular network.
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