D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 50 Citations 10,089 395 World Ranking 1752 National Ranking 30
Computer Science D-index 55 Citations 11,077 437 World Ranking 2885 National Ranking 41

Overview

What is he best known for?

The fields of study he is best known for:

  • Telecommunications
  • Computer network
  • Statistics

Yong Liang Guan mostly deals with Electronic engineering, Algorithm, Discrete mathematics, MIMO and Decoding methods. His study in Electronic engineering is interdisciplinary in nature, drawing from both Acoustics, Electric power transmission, Transmitter, Signal and Antenna. His Algorithm study incorporates themes from Statistics and Additive white Gaussian noise.

The Discrete mathematics study combines topics in areas such as Matrix, Sequence and Reed–Muller code. The concepts of his MIMO study are interwoven with issues in Minimum mean square error, Single antenna interference cancellation, Bit error rate and Order. Yong Liang Guan works in the field of Decoding methods, namely Space–time block code.

His most cited work include:

  • Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View (402 citations)
  • Wireless energy harvesting for the Internet of Things (369 citations)
  • Modeling and analysis of noise effects on broadband power-line communications (301 citations)

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

Yong Liang Guan mainly investigates Algorithm, Communication channel, Decoding methods, Electronic engineering and Computer network. The various areas that he examines in his Algorithm study include Theoretical computer science, Detector and Fading. His research in Communication channel tackles topics such as Topology which are related to areas like Precoding.

His work carried out in the field of Decoding methods brings together such families of science as Code rate, Coding and Code. The Electronic engineering study which covers Orthogonal frequency-division multiplexing that intersects with Frequency domain and Spectral efficiency. His study in Computer network is interdisciplinary in nature, drawing from both Wireless and Throughput.

He most often published in these fields:

  • Algorithm (37.47%)
  • Communication channel (22.81%)
  • Decoding methods (22.61%)

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

  • Algorithm (37.47%)
  • Communication channel (22.81%)
  • Computer network (13.65%)

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

Yong Liang Guan mainly focuses on Algorithm, Communication channel, Computer network, Network packet and Transmission. His Algorithm research is multidisciplinary, incorporating elements of Signal-to-noise ratio, Message passing and Fading. Yong Liang Guan has included themes like Binary Golay code, Electronic engineering, Telecommunications link and Time–frequency analysis in his Communication channel study.

His Electronic engineering study also includes

  • Multipath propagation and related Orthogonal frequency-division multiplexing,
  • Modulation which is related to area like MIMO. His studies deal with areas such as Throughput and Vehicular ad hoc network as well as Computer network. His work in Decoding methods covers topics such as Coding which are related to areas like Linear network coding.

Between 2018 and 2021, his most popular works were:

  • Gaussian Message Passing for Overloaded Massive MIMO-NOMA (41 citations)
  • Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection (40 citations)
  • Adaptive Spatial Modulation MIMO Based on Machine Learning (21 citations)

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

  • Computer network
  • Telecommunications
  • Statistics

His primary scientific interests are in Algorithm, Message passing, Computer network, Decoding methods and Wireless. Yong Liang Guan is studying Belief propagation, which is a component of Algorithm. His Message passing study incorporates themes from Communication channel, Factor graph, Random access, Taylor series and Robustness.

His studies in Communication channel integrate themes in fields like Binary Golay code, Point and Key. His research in Decoding methods intersects with topics in Relay, Coding and Linear network coding. The study incorporates disciplines such as Upper and lower bounds, Wireless sensor network, Beamforming and Network packet in addition to Wireless.

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

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)

612 Citations

Wireless energy harvesting for the Internet of Things

Pouya Kamalinejad;Chinmaya Mahapatra;Zhengguo Sheng;Shahriar Mirabbasi.
IEEE Communications Magazine (2015)

593 Citations

Modeling and analysis of noise effects on broadband power-line communications

H. Meng;Y.L. Guan;S. Chen.
IEEE Transactions on Power Delivery (2005)

488 Citations

Modeling of transfer Characteristics for the broadband power line communication channel

H. Meng;S. Chen;Y.L. Guan;C.L. Law.
IEEE Transactions on Power Delivery (2004)

411 Citations

A transmission line model for high-frequency power line communication channel

H. Meng;S. Chen;Y.L. Guan;C.L. Law.
ieee international conference on power system technology (2002)

404 Citations

Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer

Gang Yang;Chin Keong Ho;Rui Zhang;Yong Liang Guan.
IEEE Journal on Selected Areas in Communications (2015)

368 Citations

Quasi-orthogonal STBC with minimum decoding complexity

Chau Yuen;Yong Liang Guan;Tjeng Thiang Tjhung.
IEEE Transactions on Wireless Communications (2005)

299 Citations

Generalization of Orthogonal Frequency Division Multiplexing With Index Modulation

Rui Fan;Ya Jun Yu;Yong Liang Guan.
IEEE Transactions on Wireless Communications (2015)

252 Citations

Indoor Elliptical Localization Based on Asynchronous UWB Range Measurement

Yuan Zhou;Choi Look Law;Yong Liang Guan;F Chin.
IEEE Transactions on Instrumentation and Measurement (2011)

195 Citations

Single-Carrier SM-MIMO: A Promising Design for Broadband Large-Scale Antenna Systems

Ping Yang;Yue Xiao;Yong Liang Guan;K. V. S. Hari.
IEEE Communications Surveys and Tutorials (2016)

177 Citations

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