What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His main research concerns Cloud computing, Wireless, Computer network, Mobile computing and Mobile telephony.
His Cloud computing research includes themes of Deep learning, Resource allocation and Data science.
He combines subjects such as Information and Communications Technology, Cellular network and Server with his study of Wireless.
He is interested in Cache, which is a field of Computer network.
Xiaofei Wang interconnects Radio access network and Mobile search in the investigation of issues within Mobile computing.
His Mobile telephony research is multidisciplinary, incorporating perspectives in The Internet, Distributed computing, Heterogeneous network and Artificial intelligence.
His most cited work include:
- Cache in the air: exploiting content caching and delivery techniques for 5G systems (863 citations)
- A Survey of Green Mobile Networks: Opportunities and Challenges (301 citations)
- In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning (246 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Cloud computing, Distributed computing, Wireless and Enhanced Data Rates for GSM Evolution.
Computer network is closely attributed to Mobile telephony in his research.
He usually deals with Mobile telephony and limits it to topics linked to The Internet and WiMAX.
His Cloud computing study combines topics in areas such as Resource allocation, Quality of experience, Server and Service.
His work carried out in the field of Wireless brings together such families of science as Network performance and Data science.
The concepts of his Mobile computing study are interwoven with issues in Radio access network and Mobile search.
He most often published in these fields:
- Computer network (50.00%)
- Cloud computing (29.73%)
- Distributed computing (27.03%)
What were the highlights of his more recent work (between 2018-2021)?
- Distributed computing (27.03%)
- Cloud computing (29.73%)
- Enhanced Data Rates for GSM Evolution (18.24%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Distributed computing, Cloud computing, Enhanced Data Rates for GSM Evolution, Edge computing and Computer network.
The various areas that Xiaofei Wang examines in his Distributed computing study include Applications of artificial intelligence, Scheduling, Resource allocation and Reinforcement learning.
His research integrates issues of Wireless and Base station in his study of Reinforcement learning.
Xiaofei Wang has researched Cloud computing in several fields, including Information privacy, Server, Service and Data science.
He has included themes like Quality of service, The Internet and Cache in his Enhanced Data Rates for GSM Evolution study.
His work in the fields of Computer network, such as Cellular network, Node and Cloud gaming, intersects with other areas such as Potential game.
Between 2018 and 2021, his most popular works were:
- In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning (246 citations)
- Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (188 citations)
- Cognitive-LPWAN: Towards Intelligent Wireless Services in Hybrid Low Power Wide Area Networks (47 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Xiaofei Wang mainly investigates Computer network, Wireless, Cloud computing, Distributed computing and Reinforcement learning.
His Computer network study frequently draws parallels with other fields, such as Heterogeneous network.
Xiaofei Wang combines topics linked to Key with his work on Wireless.
His Cloud computing research focuses on Artificial intelligence and how it relates to Proof-of-work system.
His Reinforcement learning research incorporates themes from Quality of service, Enhanced Data Rates for GSM Evolution, Mobile edge computing, Mobile telephony and Base station.
His study in Edge computing is interdisciplinary in nature, drawing from both Edge device and Task.
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