H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 33 Citations 6,366 203 World Ranking 4347 National Ranking 479

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 Cognitive radio, Communication channel, Game theory, Real-time computing and Mathematical optimization. His Cognitive radio study necessitates a more in-depth grasp of Telecommunications. His Communication channel research incorporates elements of Throughput and Selection.

His Selection study integrates concerns from other disciplines, such as Stochastic process, Distributed computing and Strategy. His Real-time computing research is multidisciplinary, relying on both Base station and Sensor fusion. His study in the field of Potential game also crosses realms of Planar.

His most cited work include:

  • A survey of machine learning for big data processing (334 citations)
  • Cognitive Internet of Things: A New Paradigm Beyond Connection (316 citations)
  • Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games (214 citations)

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

Cognitive radio, Communication channel, Mathematical optimization, Distributed computing and Computer network are his primary areas of study. In his research on the topic of Cognitive radio, Machine learning is strongly related with Artificial intelligence. His studies deal with areas such as Optimal stopping, Relay, Throughput and Selection as well as Communication channel.

His Mathematical optimization study which covers Small cell that intersects with Resource allocation. His biological study deals with issues like Telecommunications network, which deal with fields such as Transmission. The study incorporates disciplines such as Strategy, Theoretical computer science and Metric in addition to Potential game.

He most often published in these fields:

  • Cognitive radio (28.24%)
  • Communication channel (24.43%)
  • Mathematical optimization (20.99%)

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

  • Communication channel (24.43%)
  • Algorithm (7.63%)
  • Selection (8.02%)

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

His primary scientific interests are in Communication channel, Algorithm, Selection, Real-time computing and Distributed computing. His study in Communication channel is interdisciplinary in nature, drawing from both Overhead, Key, Telecommunications network, Power management and Electronic engineering. The various areas that Qihui Wu examines in his Key study include Diversity gain and Power control.

His work deals with themes such as Matching, Convergence and Mathematical optimization, which intersect with Selection. In his work, Solid modeling is strongly intertwined with Smart city, which is a subfield of Real-time computing. Qihui Wu interconnects Exploit, Self-organization, Edge computing and Energy consumption in the investigation of issues within Distributed computing.

Between 2019 and 2021, his most popular works were:

  • Blockchain-Based Secure Spectrum Trading for Unmanned-Aerial-Vehicle-Assisted Cellular Networks: An Operator’s Perspective (37 citations)
  • Opportunistic UAV Utilization in Wireless Networks: Motivations, Applications, and Challenges (10 citations)
  • Direction of Arrival Estimation Using Sparse Nested Arrays With Coprime Displacement (5 citations)

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

  • Computer network
  • Artificial intelligence
  • Statistics

His main research concerns Communication channel, Distributed computing, Computer network, Energy consumption and Electronic engineering. The concepts of his Communication channel study are interwoven with issues in Distributed algorithm, Upload, Transmission and Telecommunications network. His Distributed computing research integrates issues from Edge computing and Mobile edge computing.

In general Computer network, his work in Mobile network operator is often linked to Resource management linking many areas of study. His Energy consumption study incorporates themes from Boosting, Energy, Real-time computing and Interval. Qihui Wu works mostly in the field of Electronic engineering, limiting it down to topics relating to Mimo relay and, in certain cases, Base station, as a part of the same area of interest.

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

A survey of machine learning for big data processing

Junfei Qiu;Qihui Wu;Guoru Ding;Yuhua Xu.
EURASIP Journal on Advances in Signal Processing (2016)

525 Citations

Cognitive Internet of Things: A New Paradigm Beyond Connection

Qihui Wu;Guoru Ding;Yuhua Xu;Shuo Feng.
IEEE Internet of Things Journal (2014)

458 Citations

Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution

Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan.
IEEE Transactions on Wireless Communications (2012)

290 Citations

Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games

Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan.
IEEE Journal of Selected Topics in Signal Processing (2012)

273 Citations

Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing

Qihui Wu;Guoru Ding;Jinlong Wang;Yu-Dong Yao.
IEEE Transactions on Wireless Communications (2013)

221 Citations

Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions

Yuhua Xu;Alagan Anpalagan;Qihui Wu;Liang Shen.
IEEE Communications Surveys and Tutorials (2013)

217 Citations

An Amateur Drone Surveillance System Based on the Cognitive Internet of Things

Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin.
IEEE Communications Magazine (2018)

194 Citations

Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions

Guoru Ding;Qihui Wu;Yu-Dong Yao;Jinlong Wang.
IEEE Signal Processing Magazine (2013)

193 Citations

Byzantine Attack and Defense in Cognitive Radio Networks: A Survey

Linyuan Zhang;Guoru Ding;Qihui Wu;Yulong Zou.
IEEE Communications Surveys and Tutorials (2015)

190 Citations

Cellular-Base-Station-Assisted Device-to-Device Communications in TV White Space

Guoru Ding;Jinlong Wang;Qihui Wu;Yu-Dong Yao.
IEEE Journal on Selected Areas in Communications (2016)

167 Citations

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Best Scientists Citing Qihui Wu

Zhu Han

Zhu Han

University of Houston

Publications: 29

Alagan Anpalagan

Alagan Anpalagan

Toronto Metropolitan University

Publications: 21

Cheng-Xiang Wang

Cheng-Xiang Wang

Heriot-Watt University

Publications: 17

Trung Q. Duong

Trung Q. Duong

Queen's University Belfast

Publications: 16

Nan Zhao

Nan Zhao

Dalian University of Technology

Publications: 15

Feifei Gao

Feifei Gao

Tsinghua University

Publications: 15

Ying-Chang Liang

Ying-Chang Liang

University of Electronic Science and Technology of China

Publications: 15

Victor C. M. Leung

Victor C. M. Leung

Shenzhen University

Publications: 14

Walid Saad

Walid Saad

Virginia Tech

Publications: 13

Arumugam Nallanathan

Arumugam Nallanathan

Queen Mary University of London

Publications: 13

Mubashir Husain Rehmani

Mubashir Husain Rehmani

Cork Institute of Technology

Publications: 13

Xin Liu

Xin Liu

Dalian University of Technology

Publications: 13

Chunxiao Jiang

Chunxiao Jiang

Tsinghua University

Publications: 13

Xuemin Shen

Xuemin Shen

University of Waterloo

Publications: 13

Mohsen Guizani

Mohsen Guizani

Qatar University

Publications: 12

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 12

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