What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Jiangchuan Liu spends much of his time researching Computer network, The Internet, Multimedia, Distributed computing and Cloud computing.
His studies in Computer network integrate themes in fields like Wireless and Overlay network.
His work carried out in the field of The Internet brings together such families of science as Variety, Scalability, Key and Software deployment.
His Multimedia study combines topics in areas such as Service quality, Internet video, World Wide Web and Cloud gaming.
The study incorporates disciplines such as Tree, Missing data and Linear network coding in addition to Distributed computing.
His work deals with themes such as Virtual machine, Server and Cheating, which intersect with Cloud computing.
His most cited work include:
- CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming (1069 citations)
- CoolStreaming/DONet: A Data-Driven Overlay Network for Efficient Live Media Streaming (616 citations)
- Statistics and Social Network of YouTube Videos (585 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Distributed computing, The Internet, Cloud computing and Multimedia.
The concepts of his Computer network study are interwoven with issues in Wireless and Scalability.
His Distributed computing research includes themes of Overlay network, Wireless network, Wireless mesh network and Scheduling, Job shop scheduling.
His research brings together the fields of Peer-to-peer and The Internet.
His Cloud computing study integrates concerns from other disciplines, such as Virtual machine, Provisioning and Server.
In his study, which falls under the umbrella issue of Multimedia, Popularity is strongly linked to World Wide Web.
He most often published in these fields:
- Computer network (44.20%)
- Distributed computing (26.40%)
- The Internet (18.40%)
What were the highlights of his more recent work (between 2017-2021)?
- Server (13.80%)
- Distributed computing (26.40%)
- Computer network (44.20%)
In recent papers he was focusing on the following fields of study:
Jiangchuan Liu mostly deals with Server, Distributed computing, Computer network, Real-time computing and Cloud computing.
His Server research is multidisciplinary, relying on both Replication, Transcoding, The Internet, Filter and Bandwidth.
Jiangchuan Liu interconnects Download and Multimedia in the investigation of issues within The Internet.
His studies deal with areas such as Scheduling, Job shop scheduling, Resource allocation and Mobile device as well as Distributed computing.
His research in Computer network intersects with topics in Scalability and Upload.
His Cloud computing research is multidisciplinary, incorporating elements of Virtual machine, Bottleneck, Enhanced Data Rates for GSM Evolution and Big data.
Between 2017 and 2021, his most popular works were:
- Smart Home Based on WiFi Sensing: A Survey (71 citations)
- Adaptive Wireless Video Streaming Based on Edge Computing: Opportunities and Approaches (44 citations)
- Toward Smart and Cooperative Edge Caching for 5G Networks: A Deep Learning Based Approach (27 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His scientific interests lie mostly in Deep learning, Artificial intelligence, Server, Real-time computing and Computer network.
His Server research incorporates elements of Quality of experience, Distributed computing, Transcoding, Cloud computing and Reinforcement learning.
His work is dedicated to discovering how Distributed computing, Job shop scheduling are connected with Motion planning and Transmission time and other disciplines.
His research integrates issues of Broadband networks and Identification in his study of Computer network.
Within one scientific family, Jiangchuan Liu focuses on topics pertaining to Wireless under Communication channel, and may sometimes address concerns connected to Scalability.
As a part of the same scientific family, Jiangchuan Liu mostly works in the field of Data science, focusing on Intelligent control and, on occasion, Home automation, The Internet and Mobile device.
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