H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 6,239 219 World Ranking 4545 National Ranking 118

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Statistics

His primary areas of study are Algorithm, Artificial intelligence, Computer security, Decoding methods and Digital watermarking. His work carried out in the field of Algorithm brings together such families of science as Relay channel, Subspace topology, Mathematical optimization and Blind signal separation. Yong Xiang combines subjects such as Traffic classification, Machine learning, Data mining and Computer vision with his study of Artificial intelligence.

His research investigates the connection between Data mining and topics such as Botnet that intersect with problems in Network security. His Computer security study combines topics in areas such as Server and Internet privacy. Yong Xiang has included themes like Robustness and Audio signal in his Decoding methods study.

His most cited work include:

  • Network Traffic Classification Using Correlation Information (221 citations)
  • Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System (213 citations)
  • A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies (171 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Algorithm, Artificial intelligence, Computer security, Blind signal separation and Digital watermarking. His Algorithm research is multidisciplinary, incorporating elements of Speech recognition, MIMO, Communication channel, Mathematical optimization and Signal processing. His study looks at the relationship between MIMO and topics such as Control theory, which overlap with Blind equalization.

His biological study spans a wide range of topics, including Machine learning, Computer vision and Pattern recognition. His studies deal with areas such as Mixing, Source separation and Cyclostationary process as well as Blind signal separation. His Digital watermarking research integrates issues from Watermark, Discrete cosine transform, Decoding methods, Robustness and Audio signal.

He most often published in these fields:

  • Algorithm (28.66%)
  • Artificial intelligence (25.73%)
  • Computer security (13.68%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (25.73%)
  • Computer security (13.68%)
  • Deep learning (4.89%)

In recent papers he was focusing on the following fields of study:

Yong Xiang mainly investigates Artificial intelligence, Computer security, Deep learning, Pattern recognition and Machine learning. His Artificial intelligence study frequently draws parallels with other fields, such as Computer vision. His Computer security research includes themes of Differential privacy and Digital watermarking.

His studies in Digital watermarking integrate themes in fields like Artificial neural network, Signal processing, Host and Audio signal. His Machine learning study integrates concerns from other disciplines, such as Anomaly detection and Generative model. His work in Probabilistic logic addresses issues such as Contrast, which are connected to fields such as Algorithm.

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)
  • Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts (18 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer network
  • Statistics

Yong Xiang focuses on Information privacy, Distributed computing, Edge computing, Computer security and Artificial intelligence. His Distributed computing research is multidisciplinary, relying on both Routing, Network topology and Computer virus. His work deals with themes such as Network architecture, Data security and Real-time computing, which intersect with Edge computing.

In general Computer security study, his work on Key often relates to the realm of Outsourcing, thereby connecting several areas of interest. His Artificial intelligence study incorporates themes from Machine learning, Complement and Big data. Yong Xiang performs integrative study on Non-negative matrix factorization and Algorithm in his works.

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.

Best Publications

Network Traffic Classification Using Correlation Information

Jun Zhang;Yang Xiang;Yu Wang;Wanlei Zhou.
IEEE Transactions on Parallel and Distributed Systems (2013)

338 Citations

Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System

Lin Gu;Deze Zeng;Song Guo;Ahmed Barnawi.
IEEE Transactions on Emerging Topics in Computing (2017)

277 Citations

Discriminating DDoS Attacks from Flash Crowds Using Flow Correlation Coefficient

Shui Yu;Wanlei Zhou;Weijia Jia;Song Guo.
IEEE Transactions on Parallel and Distributed Systems (2012)

267 Citations

A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies

Kun Wang;Jun Yu;Yan Yu;Yirou Qian.
IEEE Systems Journal (2018)

248 Citations

Information and Communications Technologies for Sustainable Development Goals: State-of-the-Art, Needs and Perspectives

Jinsong Wu;Song Guo;Huawei Huang;William Liu.
IEEE Communications Surveys and Tutorials (2018)

239 Citations

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

Ranesh Kumar Naha;Saurabh Garg;Dimitrios Georgakopoulos;Prem Prakash Jayaraman.
IEEE Access (2018)

226 Citations

Protection of Big Data Privacy

Abid Mehmood;Iynkaran Natgunanathan;Yong Xiang;Guang Hua.
IEEE Access (2016)

181 Citations

Software-Defined Wireless Networking Opportunities and Challenges for Internet-of-Things: A Review

Keshav Sood;Shui Yu;Yong Xiang.
IEEE Internet of Things Journal (2016)

175 Citations

Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions

Jun Zhang;Chao Chen;Yang Xiang;Wanlei Zhou.
IEEE Transactions on Information Forensics and Security (2013)

175 Citations

Blind source-separation using second-order cyclostationary statistics

K. Abed-Meraim;Yong Xiang;J.H. Manton;Yingbo Hua.
IEEE Transactions on Signal Processing (2001)

150 Citations

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Best Scientists Citing Yong Xiang

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Commonwealth Scientific and Industrial Research Organisation

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