What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of study are Computer network, Computer security, Distributed computing, Denial-of-service attack and The Internet.
His Computer network study combines topics from a wide range of disciplines, such as Wireless and Wireless network.
His work deals with themes such as Leverage, Betweenness centrality, Order, Blocking and Focus, which intersect with Computer security.
Shui Yu has included themes like Energy consumption, Quality of service, Workload, Scheduling and Cyber-physical system in his Distributed computing study.
In his research, Anomaly detection and Phishing is intimately related to Botnet, which falls under the overarching field of Denial-of-service attack.
His research in The Internet intersects with topics in Web page, Crowds and Network security.
His most cited work include:
- Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System (240 citations)
- Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model (199 citations)
- A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment (180 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Distributed computing, Computer security, Cloud computing and Big data are his primary areas of study.
His work carried out in the field of Computer network brings together such families of science as The Internet and Denial-of-service attack.
The concepts of his Distributed computing study are interwoven with issues in Anycast, Scheduling and Service.
His work in Information privacy and Network security is related to Computer security.
His work on Cloud computing security as part of general Cloud computing research is frequently linked to Resource management, bridging the gap between disciplines.
His Big data study introduces a deeper knowledge of Data mining.
He most often published in these fields:
- Computer network (29.45%)
- Distributed computing (23.72%)
- Computer security (20.16%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer security (20.16%)
- Distributed computing (23.72%)
- Cloud computing (14.62%)
In recent papers he was focusing on the following fields of study:
Shui Yu spends much of his time researching Computer security, Distributed computing, Cloud computing, Artificial intelligence and Differential privacy.
His Computer security study frequently links to related topics such as The Internet.
His Distributed computing research is multidisciplinary, incorporating perspectives in Q-learning, Reinforcement learning, Telecommunications network, Server and Integer programming.
The subject of his Server research is within the realm of Computer network.
His Cloud computing research includes elements of Information privacy, Data management, Distributed database and Big data.
His work in the fields of Deep learning, Intrusion detection system and Sentiment analysis overlaps with other areas such as Spatial analysis.
Between 2019 and 2021, his most popular works were:
- Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing (40 citations)
- Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data (40 citations)
- Security and privacy in 6G networks: New areas and new challenges (18 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
His primary scientific interests are in Computer security, Cloud computing, Distributed computing, Key and Big data.
Shui Yu has researched Computer security in several fields, including Data modeling and Differential privacy.
His Cloud computing study incorporates themes from Distributed database, Software engineering, Service and Linear network coding.
The various areas that Shui Yu examines in his Distributed computing study include Markov decision process, Edge computing, Server, Integer programming and Reinforcement learning.
His Client-side encryption study is concerned with the larger field of Computer network.
His work in Computer network addresses issues such as Data set, which are connected to fields such as Leverage.
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