What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Algorithm
His main research concerns Computer network, Approximation algorithm, Wireless sensor network, Key distribution in wireless sensor networks and Wireless network.
Guoliang Xue interconnects Relay channel, Relay and Distributed computing in the investigation of issues within Computer network.
His research in Relay intersects with topics in Transmission and Efficient energy use.
His work deals with themes such as Routing and Steiner tree problem, which intersect with Approximation algorithm.
Guoliang Xue focuses mostly in the field of Wireless sensor network, narrowing it down to matters related to Base station and, in some cases, Survivability and Real-time computing.
His study in Wireless network is interdisciplinary in nature, drawing from both Mathematical optimization, Identifier, Scheduling and Simulation.
His most cited work include:
- Smart Grid — The New and Improved Power Grid: A Survey (1881 citations)
- Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing (784 citations)
- Interference-aware topology control and QoS routing in multi-channel wireless mesh networks (490 citations)
What are the main themes of his work throughout his whole career to date?
Guoliang Xue spends much of his time researching Computer network, Distributed computing, Mathematical optimization, Computer security and Combinatorics.
The Computer network study combines topics in areas such as Wireless and Wireless network.
His studies deal with areas such as Network topology, Quality of service, Scheduling and Survivability as well as Distributed computing.
His study of Approximation algorithm is a part of Mathematical optimization.
His study looks at the relationship between Computer security and topics such as Incentive, which overlap with Crowdsourcing.
His Wireless sensor network study incorporates themes from Key distribution in wireless sensor networks, Base station and Relay.
He most often published in these fields:
- Computer network (39.35%)
- Distributed computing (21.01%)
- Mathematical optimization (14.50%)
What were the highlights of his more recent work (between 2014-2021)?
- Computer network (39.35%)
- Computer security (13.31%)
- Distributed computing (21.01%)
In recent papers he was focusing on the following fields of study:
Guoliang Xue mainly focuses on Computer network, Computer security, Distributed computing, Incentive and Crowdsensing.
Guoliang Xue combines subjects such as Communication channel and Mobile telephony with his study of Computer network.
His Computer security research is multidisciplinary, relying on both The Internet and Internet privacy.
His studies in Distributed computing integrate themes in fields like Wireless, Quality of service, Provisioning, Edge computing and Reinforcement learning.
His studies examine the connections between Edge computing and genetics, as well as such issues in Data stream mining, with regards to Approximation algorithm.
He has included themes like Crowdsourcing, Mobile device and Service in his Incentive study.
Between 2014 and 2021, his most popular works were:
- Incentive mechanisms for crowdsensing: crowdsourcing with smartphones (241 citations)
- Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach (132 citations)
- Truthful incentive mechanisms for crowdsourcing (117 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Algorithm
His primary scientific interests are in Computer network, Incentive, Distributed computing, Mobile computing and Crowdsensing.
His specific area of interest is Computer network, where Guoliang Xue studies Scheduling.
His research investigates the connection between Incentive and topics such as Computer security that intersect with issues in Sybil attack, Internet privacy and Crowdsourcing.
His research integrates issues of Quality of service, Linux kernel, Edge computing, Server and Reinforcement learning in his study of Distributed computing.
His Edge computing research focuses on Approximation algorithm and how it relates to Routing.
His Mobile computing research incorporates themes from Wireless, Mobile search and Mobile telephony.
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