H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 42 Citations 7,791 188 World Ranking 1675 National Ranking 99

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Telecommunications
  • Artificial intelligence

The scientist’s investigation covers issues in Noma, Base station, Wireless, Computer network and Throughput. His research in Noma focuses on subjects like MIMO, which are connected to Theoretical computer science. His work deals with themes such as Distributed computing, Power control, Communication channel, Fading and Heterogeneous network, which intersect with Base station.

His Wireless research incorporates elements of Efficient energy use and Spectral efficiency. Yuanwei Liu has included themes like Cognitive radio, Underlay, Transmitter power output and Relay in his Computer network study. Yuanwei Liu interconnects Wireless power transfer, Transmission, Diversity gain, Maximum power transfer theorem and Electronic engineering in the investigation of issues within Throughput.

His most cited work include:

  • Application of Non-Orthogonal Multiple Access in LTE and 5G Networks (1044 citations)
  • Nonorthogonal Multiple Access for 5G and Beyond (488 citations)
  • Enhancing the Physical Layer Security of Non-Orthogonal Multiple Access in Large-Scale Networks (348 citations)

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

Yuanwei Liu mainly investigates Noma, Base station, Telecommunications link, Communication channel and Wireless. His research integrates issues of Non orthogonal, Transmitter power output, Signal-to-noise ratio, Spectral efficiency and Optimization problem in his study of Noma. His Spectral efficiency study incorporates themes from MIMO and Topology.

His Base station study is concerned with Computer network in general. His Computer network study combines topics from a wide range of disciplines, such as Cognitive radio and Physical layer. As part of one scientific family, Yuanwei Liu deals mainly with the area of Wireless, narrowing it down to issues related to the Relay, and often Transmitter.

He most often published in these fields:

  • Noma (31.56%)
  • Base station (22.92%)
  • Telecommunications link (21.93%)

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

  • Noma (31.56%)
  • Communication channel (20.60%)
  • Telecommunications link (21.93%)

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

Noma, Communication channel, Telecommunications link, Wireless and Optimization problem are his primary areas of study. His Noma research entails a greater understanding of Computer network. In his study, which falls under the umbrella issue of Communication channel, Power budget is strongly linked to Time division multiple access.

His biological study spans a wide range of topics, including Transmission, Electronic engineering and Fading. His Wireless research is multidisciplinary, incorporating elements of Relay, Base station and Reinforcement learning. His Optimization problem research also works with subjects such as

  • Decoding methods that connect with fields like Beamforming,
  • Resource allocation together with Distributed computing, Cluster analysis, Throughput, Cache and Mobile edge computing.

Between 2019 and 2021, his most popular works were:

  • Residual Transceiver Hardware Impairments on Cooperative NOMA Networks (71 citations)
  • Reconfigurable Intelligent Surface Aided NOMA Networks (60 citations)
  • Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks (58 citations)

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

  • Computer network
  • Telecommunications
  • Artificial intelligence

Yuanwei Liu mostly deals with Noma, Communication channel, Wireless, Telecommunications link and Resource allocation. His Noma study combines topics in areas such as Outage probability, Fading, Multi-user, Signal-to-noise ratio and Single antenna interference cancellation. His Wireless study integrates concerns from other disciplines, such as Telecommunications network, Relay and Base station.

His Base station research integrates issues from Wireless network, Network performance, Efficient energy use and Cellular network. The study incorporates disciplines such as Decoding methods and Transmission in addition to Telecommunications link. His Resource allocation research is multidisciplinary, relying on both Distributed computing, Optimization problem, Mathematical optimization and Cache.

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

Application of Non-Orthogonal Multiple Access in LTE and 5G Networks

Zhiguo Ding;Yuanwei Liu;Jinho Choi;Qi Sun.
IEEE Communications Magazine (2017)

993 Citations

Cooperative Non-orthogonal Multiple Access With Simultaneous Wireless Information and Power Transfer

Yuanwei Liu;Zhiguo Ding;Maged Elkashlan;H. Vincent Poor.
IEEE Journal on Selected Areas in Communications (2016)

612 Citations

Nonorthogonal Multiple Access for 5G and Beyond

Yuanwei Liu;Zhijin Qin;Maged Elkashlan;Zhiguo Ding.
Proceedings of the IEEE (2017)

430 Citations

Enhancing the Physical Layer Security of Non-Orthogonal Multiple Access in Large-Scale Networks

Yuanwei Liu;Zhijin Qin;Maged Elkashlan;Yue Gao.
IEEE Transactions on Wireless Communications (2017)

335 Citations

Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks

Yuanwei Liu;Zhiguo Ding;Maged Elkashlan;Jinhong Yuan.
IEEE Transactions on Vehicular Technology (2016)

295 Citations

Relay Selection for Security Enhancement in Cognitive Relay Networks

Yuanwei Liu;Lifeng Wang;Tran Trung Duy;Maged Elkashlan.
IEEE Wireless Communications Letters (2015)

213 Citations

Secure D2D Communication in Large-Scale Cognitive Cellular Networks: A Wireless Power Transfer Model

Yuanwei Liu;Lifeng Wang;Syed Ali Raza Zaidi;Maged Elkashlan.
international conference on communications (2016)

200 Citations

Exploiting Full/Half-Duplex User Relaying in NOMA Systems

Xinwei Yue;Yuanwei Liu;Shaoli Kang;Arumugam Nallanathan.
IEEE Transactions on Communications (2018)

167 Citations

Fairness of User Clustering in MIMO Non-Orthogonal Multiple Access Systems

Yuanwei Liu;Maged Elkashlan;Zhiguo Ding;George K. Karagiannidis.
IEEE Communications Letters (2016)

165 Citations

Wireless Energy Harvesting in a Cognitive Relay Network

Yuanwei Liu;S. Ali Mousavifar;Yansha Deng;Cyril Leung.
IEEE Transactions on Wireless Communications (2016)

156 Citations

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Best Scientists Citing Yuanwei Liu

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 140

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 59

Derrick Wing Kwan Ng

Derrick Wing Kwan Ng

UNSW Sydney

Publications: 46

Trung Q. Duong

Trung Q. Duong

Queen's University Belfast

Publications: 40

Jinhong Yuan

Jinhong Yuan

UNSW Sydney

Publications: 39

George K. Karagiannidis

George K. Karagiannidis

Aristotle University of Thessaloniki

Publications: 35

Pingzhi Fan

Pingzhi Fan

Southwest Jiaotong University

Publications: 35

Octavia A. Dobre

Octavia A. Dobre

Memorial University of Newfoundland

Publications: 32

Mohamed-Slim Alouini

Mohamed-Slim Alouini

King Abdullah University of Science and Technology

Publications: 31

Qiang Ni

Qiang Ni

Lancaster University

Publications: 31

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 28

Xiaoming Chen

Xiaoming Chen

Zhejiang University

Publications: 27

Gaofeng Pan

Gaofeng Pan

Beijing Institute of Technology

Publications: 27

Zhaoyang Zhang

Zhaoyang Zhang

Zhejiang University

Publications: 27

Jinho Choi

Jinho Choi

Deakin University

Publications: 26

Caijun Zhong

Caijun Zhong

Zhejiang University

Publications: 25

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