What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His scientific interests lie mostly in Computer network, Distributed computing, Overlay network, The Internet and Flooding.
As part of his studies on Computer network, Li Xiao often connects relevant subjects like Throughput.
His Distributed computing study frequently links to adjacent areas such as Network topology.
His work deals with themes such as Logical topology and Anonymity, which intersect with Overlay network.
Li Xiao usually deals with The Internet and limits it to topics linked to Scalability and Cache, File server, Web server, Fat client and Data integrity.
His Flooding research is multidisciplinary, relying on both Location awareness, Message passing, Mobile computing and Dynamic network analysis.
His most cited work include:
- The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey (427 citations)
- A static-node assisted adaptive routing protocol in vehicular networks (194 citations)
- Location-aware topology matching in P2P systems (181 citations)
What are the main themes of his work throughout his whole career to date?
Li Xiao mainly focuses on Computer network, Distributed computing, Wireless sensor network, Cognitive radio and The Internet.
His studies in Computer network integrate themes in fields like Throughput and Communication channel.
The concepts of his Distributed computing study are interwoven with issues in Overlay network, Scalability, Network topology and Wireless mesh network.
His Overlay network research focuses on subjects like Overlay multicast, which are linked to Tree.
His Wireless sensor network research includes themes of Time division multiple access, Filter, Computer security, Key distribution in wireless sensor networks and Simulation.
His The Internet study integrates concerns from other disciplines, such as File server, Instruction prefetch and Search algorithm.
He most often published in these fields:
- Computer network (62.50%)
- Distributed computing (40.76%)
- Wireless sensor network (14.13%)
What were the highlights of his more recent work (between 2014-2021)?
- Computer network (62.50%)
- Cognitive radio (12.50%)
- Communication channel (10.33%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer network, Cognitive radio, Communication channel, Orthogonal frequency-division multiplexing and Throughput.
The study incorporates disciplines such as Transmission and Universal Software Radio Peripheral in addition to Computer network.
His Cognitive radio study frequently draws connections to adjacent fields such as Distributed computing.
His Communication channel research is multidisciplinary, incorporating perspectives in Transmitter and Electronic engineering.
His biological study deals with issues like Hop, which deal with fields such as Routing protocol, Backup path, Videoconferencing and Distributed algorithm.
The various areas that Li Xiao examines in his Throughput study include Data stream, Compensation and Wireless ad hoc network.
Between 2014 and 2021, his most popular works were:
- MSU Tailbot: Controlling Aerial Maneuver of a Miniature-Tailed Jumping Robot (45 citations)
- RC-MAC: A Receiver-Centric MAC Protocol for Event-Driven Wireless Sensor Networks (29 citations)
- TAS-MAC: A Traffic-Adaptive Synchronous MAC Protocol for Wireless Sensor Networks (25 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
Computer network, Cognitive radio, Wireless sensor network, Network packet and Real-time computing are his primary areas of study.
Li Xiao regularly ties together related areas like Communication channel in his Computer network studies.
His research integrates issues of Transmitter, Universal Software Radio Peripheral, Cooperative diversity and Communications system in his study of Cognitive radio.
His Wireless sensor network research incorporates elements of Key distribution in wireless sensor networks, Scheduling, DC motor and Media access control.
His work carried out in the field of Key distribution in wireless sensor networks brings together such families of science as Time division multiple access, Throughput and Data transmission.
His Network packet research includes elements of Overhead and Reliability.
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