D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 30 Citations 3,570 240 World Ranking 3666 National Ranking 167

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Statistics

His primary areas of investigation include Algorithm, Control theory, Mathematical optimization, Electronic engineering and MIMO. His Algorithm research incorporates elements of Sparse matrix, Filter, Noise and Signal processing. The study incorporates disciplines such as Covariance matrix, Sensor array and Joint in addition to Mathematical optimization.

His biological study spans a wide range of topics, including Cognitive radio, Wireless, Spectral efficiency and Fading. In his research on the topic of MIMO, Channel state information, Optimization problem, Artificial noise and Upper and lower bounds is strongly related with Relay. His Communication channel research is multidisciplinary, incorporating perspectives in Beamforming and Transmitter power output.

His most cited work include:

  • Relay-Selection Improves the Security-Reliability Trade-Off in Cognitive Radio Systems (196 citations)
  • Secure Transmission in Cognitive Satellite Terrestrial Networks (113 citations)
  • Outage Performance of Cognitive Hybrid Satellite–Terrestrial Networks With Interference Constraint (81 citations)

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

His primary scientific interests are in Algorithm, Speech recognition, Artificial intelligence, Electronic engineering and Communication channel. The concepts of his Algorithm study are interwoven with issues in Control theory, Signal-to-noise ratio, Signal, Mathematical optimization and Orthogonal frequency-division multiplexing. His Speech recognition research is multidisciplinary, relying on both Speech enhancement, Noise and Autocorrelation.

His Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. He regularly ties together related areas like Relay in his Electronic engineering studies. Wei-Ping Zhu has included themes like Wireless and Telecommunications link in his Communication channel study.

He most often published in these fields:

  • Algorithm (33.13%)
  • Speech recognition (18.50%)
  • Artificial intelligence (17.89%)

What were the highlights of his more recent work (between 2018-2021)?

  • Communication channel (17.48%)
  • Algorithm (33.13%)
  • Beamforming (12.20%)

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

Wei-Ping Zhu focuses on Communication channel, Algorithm, Beamforming, Electronic engineering and Speech enhancement. His studies deal with areas such as Wireless and Cellular network as well as Communication channel. He combines subjects such as Estimator and Monte Carlo method with his study of Algorithm.

The various areas that Wei-Ping Zhu examines in his Beamforming study include Radio frequency, Channel state information, Mathematical optimization and Telecommunications link. He works mostly in the field of Mathematical optimization, limiting it down to topics relating to Transmitter power output and, in certain cases, Physical layer and Eavesdropping. His studies in Electronic engineering integrate themes in fields like Rayleigh fading, Relay, Projection, Array gain and Wireless network.

Between 2018 and 2021, his most popular works were:

  • Robust Secure Beamforming for Multibeam Satellite Communication Systems (23 citations)
  • RARE-based localization for mixed near-field and far-field rectilinear sources (23 citations)
  • On the Performance of LMS Communication With Hardware Impairments and Interference (22 citations)

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

  • Artificial intelligence
  • Statistics
  • Algorithm

The scientist’s investigation covers issues in Beamforming, Communication channel, Telecommunications link, Fading and Algorithm. His Beamforming study incorporates themes from Transmitter power output, Optimization problem, Mathematical optimization, Base station and Channel state information. His research integrates issues of Cellular network, Asymptotic analysis, Computer engineering and Topology in his study of Communication channel.

His research investigates the connection with Telecommunications link and areas like Computational complexity theory which intersect with concerns in Orthogonal frequency-division multiplexing, Mean squared error, Synchronization and Orthogonal frequency-division multiple access. In the subject of general Algorithm, his work in Iterative method is often linked to Fraction, thereby combining diverse domains of study. His MIMO study combines topics from a wide range of disciplines, such as Electronic engineering and Spectral efficiency.

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

Relay-Selection Improves the Security-Reliability Trade-Off in Cognitive Radio Systems

Yulong Zou;Benoit Champagne;Wei-Ping Zhu;Lajos Hanzo.
IEEE Transactions on Communications (2015)

237 Citations

Secure Transmission in Cognitive Satellite Terrestrial Networks

Kang An;Min Lin;Jian Ouyang;Wei-Ping Zhu.
IEEE Journal on Selected Areas in Communications (2016)

166 Citations

Outage Performance of Cognitive Hybrid Satellite–Terrestrial Networks With Interference Constraint

Kang An;Min Lin;Wei-Ping Zhu;Yongming Huang.
IEEE Transactions on Vehicular Technology (2016)

117 Citations

Joint 2-D DOA Estimation via Sparse L-shaped Array

Jian-Feng Gu;Wei-Ping Zhu;M. N. S. Swamy.
IEEE Transactions on Signal Processing (2015)

105 Citations

A Semiblind Channel Estimation Approach for MIMO–OFDM Systems

Feng Wan;W.-P. Zhu;M.N.S. Swamy.
IEEE Transactions on Signal Processing (2008)

96 Citations

Joint Beamforming and Power Control for Device-to-Device Communications Underlaying Cellular Networks

Min Lin;Jian Ouyang;Wei-Ping Zhu.
IEEE Journal on Selected Areas in Communications (2016)

95 Citations

Semiblind Sparse Channel Estimation for MIMO-OFDM Systems

Feng Wan;Wei-Ping Zhu;M. N. S. Swamy.
IEEE Transactions on Vehicular Technology (2011)

89 Citations

Direction of Arrival Estimation for Off-Grid Signals Based on Sparse Bayesian Learning

Xiaohuan Wu;Wei-Ping Zhu;Jun Yan.
IEEE Sensors Journal (2016)

85 Citations

Joint Beamforming for Secure Communication in Cognitive Satellite Terrestrial Networks

Min Lin;Zhi Lin;Wei-Ping Zhu;Jun-Bo Wang.
IEEE Journal on Selected Areas in Communications (2018)

84 Citations

A Joint Source and Relay Power Allocation Scheme for a Class of MIMO Relay Systems

Chunguo Li;Xiang Wang;Luxi Yang;Wei-Ping Zhu.
IEEE Transactions on Signal Processing (2009)

83 Citations

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Best Scientists Citing Wei-Ping Zhu

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