H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 14,055 146 World Ranking 3525 National Ranking 1813
Electronics and Electrical Engineering D-index 47 Citations 14,119 131 World Ranking 1367 National Ranking 616

Research.com Recognitions

Awards & Achievements

2013 - IEEE Fellow For contributions to learning and decision theory in dynamic systems with applications to cognitive networking

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • Artificial intelligence

Qing Zhao mainly focuses on Computer network, Communication channel, Cognitive radio, Markov process and Throughput. His Computer network research incorporates elements of Wireless, Wireless ad hoc network, Physical layer and Wireless network. The study incorporates disciplines such as Estimation theory and Robustness in addition to Communication channel.

His studies deal with areas such as Spectrum, Data science and Taxonomy as well as Cognitive radio. His research integrates issues of Upper and lower bounds, Decision theory and Mathematical optimization in his study of Markov process. He has researched Throughput in several fields, including False alarm, Distributed computing, Markov chain and Access control.

His most cited work include:

  • A Survey of Dynamic Spectrum Access (2424 citations)
  • Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework (1544 citations)
  • On the lifetime of wireless sensor networks (429 citations)

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

Qing Zhao focuses on Mathematical optimization, Computer network, Communication channel, Cognitive radio and Regret. His Mathematical optimization research includes elements of Stochastic process, Anomaly detection, Markov process and Upper and lower bounds. His work deals with themes such as Wireless ad hoc network, Transmission, Distributed computing and Physical layer, which intersect with Computer network.

His research investigates the link between Communication channel and topics such as Wireless that cross with problems in Frequency allocation. His work in Cognitive radio covers topics such as Throughput which are related to areas like Queueing theory. His work in the fields of Multi-armed bandit overlaps with other areas such as Order.

He most often published in these fields:

  • Mathematical optimization (38.08%)
  • Computer network (26.92%)
  • Communication channel (25.38%)

What were the highlights of his more recent work (between 2016-2021)?

  • Mathematical optimization (38.08%)
  • Regret (19.62%)
  • Anomaly detection (8.85%)

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

The scientist’s investigation covers issues in Mathematical optimization, Regret, Anomaly detection, Asymptotically optimal algorithm and Random walk. His research in Mathematical optimization intersects with topics in Adversarial system, Partially observable Markov decision process, Cognitive radio and Reduction. His research investigates the connection between Cognitive radio and topics such as Test that intersect with issues in Minimax.

His Regret research is multidisciplinary, incorporating perspectives in Mathematical economics, Upper and lower bounds, Sublinear function and Time horizon. His biological study spans a wide range of topics, including Sequential analysis, Inference and Search algorithm. He combines subjects such as Stochastic process, Tree structure and Data stream mining with his study of Random walk.

Between 2016 and 2021, his most popular works were:

  • Active Anomaly Detection in Heterogeneous Processes (32 citations)
  • Algorithmic Bidding for Virtual Trading in Electricity Markets (14 citations)
  • Multi-armed Bandits: Theory and Applications to Online Learning in Networks (12 citations)

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

  • Computer network
  • Statistics
  • Artificial intelligence

Anomaly detection, Mathematical optimization, Asymptotically optimal algorithm, Algorithm and Linear search are his primary areas of study. The concepts of his Anomaly detection study are interwoven with issues in Regret and Search algorithm. His research integrates issues of Cognitive radio, Sequential analysis, Partially observable Markov decision process and Markov process in his study of Mathematical optimization.

The various areas that Qing Zhao examines in his Cognitive radio study include Test, Test plan, Minimax, Sampling and Group testing. His Partially observable Markov decision process study combines topics from a wide range of disciplines, such as Resource allocation, State, Selection and Expected utility hypothesis. Within one scientific family, Qing Zhao focuses on topics pertaining to Random walk under Algorithm, and may sometimes address concerns connected to Expected value and Combinatorics.

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 Dynamic Spectrum Access

Qing Zhao;B.M. Sadler.
IEEE Signal Processing Magazine (2007)

3524 Citations

Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework

Qing Zhao;Lang Tong;Ananthram Swami;Yunxia Chen.
IEEE Journal on Selected Areas in Communications (2007)

2010 Citations

On the lifetime of wireless sensor networks

Yunxia Chen;Qing Zhao.
IEEE Communications Letters (2005)

675 Citations

Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors

Yunxia Chen;Qing Zhao;A. Swami.
IEEE Transactions on Information Theory (2008)

496 Citations

Sensor networks with mobile agents

Lang Tong;Qing Zhao;S. Adireddy.
military communications conference (2003)

457 Citations

Decentralized cognitive mac for dynamic spectrum access

Q. Zhao;L. Tong;A. Swami.
First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005. (2005)

454 Citations

On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance

Qing Zhao;B. Krishnamachari;Keqin Liu.
IEEE Transactions on Wireless Communications (2008)

395 Citations

Optimality of Myopic Sensing in Multichannel Opportunistic Access

S. Ahmad;Mingyan Liu;T. Javidi;Qing Zhao.
IEEE Transactions on Information Theory (2009)

387 Citations

Distributed Learning in Multi-Armed Bandit With Multiple Players

Keqin Liu;Qing Zhao.
IEEE Transactions on Signal Processing (2010)

377 Citations

Multipacket reception in random access wireless networks: from signal processing to optimal medium access control

Lang Tong;Qing Zhao;G. Mergen.
IEEE Communications Magazine (2001)

317 Citations

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Best Scientists Citing Qing Zhao

Lang Tong

Lang Tong

Cornell University

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University of Michigan–Ann Arbor

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Husheng Li

Husheng Li

University of Tennessee at Knoxville

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Amir Leshem

Amir Leshem

Bar-Ilan University

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Bhaskar Krishnamachari

Bhaskar Krishnamachari

University of Southern California

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Zhu Han

Zhu Han

University of Houston

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Jianwei Huang

Jianwei Huang

Chinese University of Hong Kong, Shenzhen

Publications: 35

Victor C. M. Leung

Victor C. M. Leung

Shenzhen University

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Shiwen Mao

Shiwen Mao

Auburn University

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Dusit Niyato

Dusit Niyato

Nanyang Technological University

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Ying-Chang Liang

Ying-Chang Liang

University of Electronic Science and Technology of China

Publications: 33

Alagan Anpalagan

Alagan Anpalagan

Toronto Metropolitan University

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Pramod K. Varshney

Pramod K. Varshney

Syracuse University

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Brian M. Sadler

Brian M. Sadler

United States Army Research Laboratory

Publications: 32

Neelesh B. Mehta

Neelesh B. Mehta

Indian Institute of Science Bangalore

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