What is he best known for?
The fields of study he is best known for:
- The Internet
- Artificial intelligence
- Computer network
His main research concerns Data mining, Computer network, Denial-of-service attack, Artificial intelligence and Network security.
The Data mining study combines topics in areas such as Traffic classification, Statistical classification and Honeypot.
The concepts of his Computer network study are interwoven with issues in Hash function, Mobile RFID and IP traceback.
His studies deal with areas such as Computer security, Crowds and Anomaly detection as well as Denial-of-service attack.
He has researched Artificial intelligence in several fields, including Network topology, Machine learning and Speech recognition.
His Network security study combines topics in areas such as Scheme, Information distance, Web service and Cloud computing.
His most cited work include:
- Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures (261 citations)
- Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics (241 citations)
- Teaching and learning online with wikis (233 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Computer security, Data mining, Distributed computing and Artificial intelligence are his primary areas of study.
As part of his studies on Computer network, Wanlei Zhou often connects relevant areas like The Internet.
Computer security is often connected to Denial-of-service attack in his work.
His research integrates issues of Classifier and Traffic classification in his study of Data mining.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Computer vision.
His Differential privacy research integrates issues from Recommender system, Information privacy, Information sensitivity and Noise.
He most often published in these fields:
- Computer network (20.82%)
- Computer security (19.70%)
- Data mining (16.36%)
What were the highlights of his more recent work (between 2015-2021)?
- Differential privacy (11.15%)
- Computer security (19.70%)
- Artificial intelligence (14.13%)
In recent papers he was focusing on the following fields of study:
Wanlei Zhou spends much of his time researching Differential privacy, Computer security, Artificial intelligence, Data mining and Computer network.
His study on Differential privacy also encompasses disciplines like
- Information privacy that connect with fields like Encryption,
- Data publishing which is related to area like Data science,
- Key that intertwine with fields like Network security.
His Computer security research includes elements of Control, Task and Social network.
His research in Artificial intelligence focuses on subjects like Machine learning, which are connected to Classifier.
His Data mining study frequently draws parallels with other fields, such as Noise.
His Computer network study integrates concerns from other disciplines, such as Wireless, Cloud computing and Vehicular ad hoc network.
Between 2015 and 2021, his most popular works were:
- Differentially Private Data Publishing and Analysis: A Survey (120 citations)
- Identifying Propagation Sources in Networks: State-of-the-Art and Comparative Studies (112 citations)
- A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade (81 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- The Internet
His primary areas of investigation include Differential privacy, Computer network, Server, Computer security and Artificial intelligence.
His research on Differential privacy also deals with topics like
- Noise which intersects with area such as Data mining, Perceptron, Generator, Private information retrieval and Topic model,
- Information sensitivity that connect with fields like Cyber-physical system, Recommender system, MovieLens and Reduction,
- Data modeling that connect with fields like Cyberspace and Identifier.
Wanlei Zhou has included themes like Wireless ad hoc network and Vehicular ad hoc network in his Computer network study.
His work carried out in the field of Server brings together such families of science as Cloud computing, Task, Network packet and IP traceback.
His study in Computer security is interdisciplinary in nature, drawing from both Proxy and Constant.
His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
