What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
Real-time computing, Computer network, Physical layer, Wireless network and Communication channel are his primary areas of study.
His Real-time computing research is multidisciplinary, incorporating elements of Motion detection, Diversity scheme, Channel state information, Mobile computing and Sensor fusion.
His Channel state information research incorporates elements of Baseband and Fading.
Kaishun Wu works mostly in the field of Physical layer, limiting it down to topics relating to Orthogonal frequency-division multiplexing and, in certain cases, Wireless lan.
His Wireless network study contributes to a more complete understanding of Wireless.
The study incorporates disciplines such as Transmission, Chip and IEEE 802.15 in addition to Communication channel.
His most cited work include:
- WiFall: Device-Free Fall Detection by Wireless Networks (327 citations)
- CSI-Based Indoor Localization (313 citations)
- FILA: Fine-grained indoor localization (243 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Wireless, Real-time computing, Communication channel and Wireless network.
The concepts of his Computer network study are interwoven with issues in Throughput, Physical layer, Orthogonal frequency-division multiplexing and Transmission.
His Throughput research focuses on Telecommunications link and how it connects with Cellular network.
His Wireless research is multidisciplinary, relying on both Base station, Overhead, Transmitter power output and Channel capacity.
His Real-time computing study also includes
- Channel state information and related Diversity scheme,
- Wireless sensor network together with Telecommunications.
His Communication channel study combines topics from a wide range of disciplines, such as Testbed, Wireless ad hoc network, Decoding methods and Node.
He most often published in these fields:
- Computer network (32.00%)
- Wireless (24.00%)
- Real-time computing (20.89%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (32.00%)
- Artificial intelligence (12.44%)
- Human–computer interaction (7.56%)
In recent papers he was focusing on the following fields of study:
Kaishun Wu focuses on Computer network, Artificial intelligence, Human–computer interaction, Wireless and Communication channel.
His Computer network research includes themes of Service quality and Physical layer.
The various areas that he examines in his Human–computer interaction study include Wearable technology and Gesture.
His research in Wireless intersects with topics in Electronic engineering, Convolutional neural network and Transmitter power output.
Kaishun Wu has researched Communication channel in several fields, including Wireless network, Heterogeneous network and Information transfer.
Kaishun Wu interconnects Underwater acoustic positioning system, Real-time computing and Global Positioning System in the investigation of issues within Node.
Between 2019 and 2021, his most popular works were:
- Artificial-Intelligence-Enabled Intelligent 6G Networks (23 citations)
- Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning (15 citations)
- Screen privacy protection method and system for mobile terminal device (14 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Telecommunications
Kaishun Wu mainly focuses on Computer network, Wireless, Transmission, Real-time computing and Communication channel.
His specific area of interest is Computer network, where Kaishun Wu studies Routing.
His work on Wireless network and Cognitive radio as part of his general Wireless study is frequently connected to Generative model, thereby bridging the divide between different branches of science.
Kaishun Wu has included themes like Underwater acoustic communication, Network performance, Scattering, Modulation and Key in his Transmission study.
His study on Real-time computing is intertwined with other disciplines of science such as Process, Sample size determination and Seawater.
In his work, Bit error rate is strongly intertwined with Noma, which is a subfield of Communication channel.
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