H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 11,416 96 World Ranking 7046 National Ranking 87

Overview

What is he best known for?

The fields of study he is best known for:

  • Telecommunications
  • Algorithm
  • Statistics

His main research concerns Cognitive radio, Algorithm, Communication channel, Covariance matrix and Detection theory. His research investigates the link between Cognitive radio and topics such as False alarm that cross with problems in Constant false alarm rate. Yonghong Zeng combines subjects such as Subspace topology, Noise and White noise with his study of Algorithm.

His biological study spans a wide range of topics, including Noise power, Software-defined radio and Telecommunications link. His Software-defined radio research includes themes of Wireless, Throughput and Real-time computing. His studies in Detection theory integrate themes in fields like Sample mean and sample covariance, Test statistic and Signal processing.

His most cited work include:

  • Sensing-Throughput Tradeoff for Cognitive Radio Networks (2525 citations)
  • Eigenvalue-based spectrum sensing algorithms for cognitive radio (966 citations)
  • A review on spectrum sensing for cognitive radio: challenges and solutions (581 citations)

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

His primary areas of investigation include Algorithm, Communication channel, Cognitive radio, Electronic engineering and Orthogonal frequency-division multiplexing. His Algorithm study incorporates themes from Subspace topology, Detection theory, Noise and Upper and lower bounds. The various areas that he examines in his Communication channel study include Noise power, Control theory and Software-defined radio.

His Software-defined radio research is multidisciplinary, relying on both Radar and Real-time computing. His Cognitive radio research incorporates elements of False alarm, Energy, Computer network and Throughput. Yonghong Zeng combines subjects such as Wireless sensor network and Radio spectrum with his study of Wireless.

He most often published in these fields:

  • Algorithm (49.15%)
  • Communication channel (38.98%)
  • Cognitive radio (36.44%)

What were the highlights of his more recent work (between 2011-2021)?

  • Orthogonal frequency-division multiplexing (27.97%)
  • Cognitive radio (36.44%)
  • Electronic engineering (27.97%)

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

Yonghong Zeng spends much of his time researching Orthogonal frequency-division multiplexing, Cognitive radio, Electronic engineering, Algorithm and Real-time computing. His Orthogonal frequency-division multiplexing study necessitates a more in-depth grasp of Communication channel. His studies deal with areas such as Interference and Control theory as well as Communication channel.

He interconnects Signal-to-noise ratio, Throughput and Robustness in the investigation of issues within Cognitive radio. His study on Electronic engineering also encompasses disciplines like

  • Energy which connect with False alarm,
  • Waveform together with Flexibility and Spectral efficiency. His studies in Algorithm integrate themes in fields like Statistics and Noise.

Between 2011 and 2021, his most popular works were:

  • Spectrum Sensing for OFDM Signals Using Pilot Induced Auto-Correlations (36 citations)
  • On the Eigenvalue-Based Spectrum Sensing and Secondary User Throughput (31 citations)
  • Spectrum Sensing for Digital Primary Signals in Cognitive Radio: A Bayesian Approach for Maximizing Spectrum Utilization (30 citations)

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

  • Telecommunications
  • Algorithm
  • Statistics

Cognitive radio, Electronic engineering, Detector, Energy and Throughput are his primary areas of study. His Cognitive radio research is multidisciplinary, incorporating perspectives in Subcarrier, Fast Fourier transform, Throughput and Computer engineering. His Electronic engineering research includes themes of Detection theory and Communication channel.

His Communication channel research includes elements of Time domain, Real-time computing and Filter bank. The study incorporates disciplines such as False alarm, Algorithm and Noise in addition to Detector. The Noise study combines topics in areas such as Signal-to-noise ratio, Constant false alarm rate and Likelihood-ratio test.

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.

Top Publications

Sensing-Throughput Tradeoff for Cognitive Radio Networks

Ying-Chang Liang;Yonghong Zeng;E.C.Y. Peh;Anh Tuan Hoang.
IEEE Transactions on Wireless Communications (2008)

3216 Citations

Eigenvalue-based spectrum sensing algorithms for cognitive radio

Yonghong Zeng;Ying-chang Liang.
IEEE Transactions on Communications (2009)

1306 Citations

A review on spectrum sensing for cognitive radio: challenges and solutions

Yonghong Zeng;Ying-Chang Liang;Anh Tuan Hoang;Rui Zhang.
EURASIP Journal on Advances in Signal Processing (2010)

837 Citations

Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances

Yonghong Zeng;Ying-Chang Liang.
IEEE Transactions on Vehicular Technology (2009)

631 Citations

Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View

E.C.Y. Peh;Ying-Chang Liang;Yong Liang Guan;Yonghong Zeng.
IEEE Transactions on Vehicular Technology (2009)

567 Citations

Maximum-Minimum Eigenvalue Detection for Cognitive Radio

Yonghong Zeng;Ying-Chang Liang.
personal, indoor and mobile radio communications (2007)

431 Citations

Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach

Rui Zhang;Teng Lim;Ying-Chang Liang;Yonghong Zeng.
IEEE Transactions on Communications (2010)

371 Citations

Covariance Based Signal Detections for Cognitive Radio

Yonghong Zeng;Ying-Chang Liang.
2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (2007)

337 Citations

Maximum Eigenvalue Detection: Theory and Application

Yonghong Zeng;Choo Leng Koh;Ying-Chang Liang.
international conference on communications (2008)

290 Citations

Blindly Combined Energy Detection for Spectrum Sensing in Cognitive Radio

Yonghong Zeng;Ying Chang Liang;Rui Zhang.
IEEE Signal Processing Letters (2008)

223 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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