H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 54 Citations 14,472 341 World Ranking 2268 National Ranking 226
Electronics and Electrical Engineering H-index 42 Citations 11,053 259 World Ranking 1641 National Ranking 186

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • Algorithm

Pingzhi Fan mostly deals with Computer network, Algorithm, Noma, Telecommunications link and Communication channel. His Computer network study combines topics in areas such as Wireless, Cognitive radio and Relay. Pingzhi Fan has included themes like Theoretical computer science, Spread spectrum, Code, Bit error rate and Electronic engineering in his Algorithm study.

His research investigates the connection with Noma and areas like Signal-to-noise ratio which intersect with concerns in Statistics, Encoding, Expression, Monte Carlo method and Nakagami distribution. His Telecommunications link research integrates issues from Decoding methods and Mathematical optimization. His studies in Communication channel integrate themes in fields like Transmitter power output and Communications system.

His most cited work include:

  • On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users (1341 citations)
  • Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions (883 citations)
  • Sequence design for communications applications (519 citations)

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

Pingzhi Fan mainly investigates Algorithm, Computer network, Communication channel, Electronic engineering and Fading. His Algorithm research is multidisciplinary, relying on both Telecommunications, Sequence, Bit error rate and Code. Computer network and Wireless are commonly linked in his work.

His studies deal with areas such as Upper and lower bounds, Transmitter power output and Control theory as well as Communication channel. His research integrates issues of Transmission, Multipath propagation and Interference in his study of Electronic engineering. Pingzhi Fan has researched Telecommunications link in several fields, including MIMO and Mathematical optimization.

He most often published in these fields:

  • Algorithm (27.71%)
  • Computer network (23.58%)
  • Communication channel (18.93%)

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

  • Computer network (23.58%)
  • Algorithm (27.71%)
  • Transmission (7.57%)

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

Computer network, Algorithm, Transmission, Telecommunications link and Communication channel are his primary areas of study. His research in Computer network intersects with topics in Wireless and Spectral efficiency. His Algorithm research is multidisciplinary, incorporating perspectives in Message passing and Sequence design.

His work focuses on many connections between Telecommunications link and other disciplines, such as MIMO, that overlap with his field of interest in Beamforming, Boolean function and Binary number. Pingzhi Fan interconnects Electronic engineering, Signal, Modulation and Overhead in the investigation of issues within Communication channel. His Base station course of study focuses on Mathematical optimization and Transmitter power output.

Between 2018 and 2021, his most popular works were:

  • 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies (259 citations)
  • Impact of Non-Orthogonal Multiple Access on the Offloading of Mobile Edge Computing (83 citations)
  • Cooperative NOMA Broadcasting/Multicasting for Low-Latency and High-Reliability 5G Cellular V2X Communications (49 citations)

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

  • Computer network
  • Statistics
  • Algorithm

Pingzhi Fan mainly focuses on Computer network, Telecommunications link, Algorithm, Communication channel and Base station. He combines subjects such as Wireless, Wireless ad hoc network and Spectral efficiency with his study of Computer network. His Telecommunications link research includes elements of Orthogonal frequency-division multiplexing and Fading.

His Algorithm research incorporates elements of MIMO, Beamforming, Bit error rate and Modulation. The study incorporates disciplines such as Convergence and Energy in addition to Communication channel. His Noma research incorporates themes from Quality of service and Transmitter power output.

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

On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users

Zhiguo Ding;Zheng Yang;Pingzhi Fan;H. Vincent Poor.
IEEE Signal Processing Letters (2014)

1316 Citations

Sequence design for communications applications

Pingzhi Fan;Mike Darnell.
(1996)

1062 Citations

Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions

Zhiguo Ding;Pingzhi Fan;H. Vincent Poor.
IEEE Transactions on Vehicular Technology (2016)

922 Citations

Class of binary sequences with zero correlation zone

P.Z. Fan;N. Suehiro;N. Kuroyanagi;X.M. Deng.
Electronics Letters (1999)

479 Citations

A General Power Allocation Scheme to Guarantee Quality of Service in Downlink and Uplink NOMA Systems

Zheng Yang;Zhiguo Ding;Pingzhi Fan;Naofal Al-Dhahir.
IEEE Transactions on Wireless Communications (2016)

370 Citations

Lower bounds on correlation of spreading sequence set with low or zero correlation zone

X.H. Tang;P.Z. Fan;S. Matsufuji.
Electronics Letters (2000)

361 Citations

6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies

Zhengquan Zhang;Yue Xiao;Zheng Ma;Ming Xiao.
IEEE Vehicular Technology Magazine (2019)

344 Citations

Generalized Orthogonal Sequences and Their Applications in Synchronous CDMA Systems

Pingzhi Fan;Li Hao.
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2000)

278 Citations

Full-Duplex Device-to-Device-Aided Cooperative Nonorthogonal Multiple Access

Zhengquan Zhang;Zheng Ma;Ming Xiao;Zhiguo Ding.
IEEE Transactions on Vehicular Technology (2017)

263 Citations

On the Performance of Non-orthogonal Multiple Access Systems With Partial Channel Information

Zheng Yang;Zhiguo Ding;Pingzhi Fan;George K. Karagiannidis.
IEEE Transactions on Communications (2016)

261 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Pingzhi Fan

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 170

Yuanwei Liu

Yuanwei Liu

Queen Mary University of London

Publications: 89

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 69

Xiaohu Tang

Xiaohu Tang

Southwest Jiaotong University

Publications: 68

George K. Karagiannidis

George K. Karagiannidis

Aristotle University of Thessaloniki

Publications: 58

Derrick Wing Kwan Ng

Derrick Wing Kwan Ng

UNSW Sydney

Publications: 58

Arumugam Nallanathan

Arumugam Nallanathan

Queen Mary University of London

Publications: 48

Octavia A. Dobre

Octavia A. Dobre

Memorial University of Newfoundland

Publications: 47

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 43

Robert Schober

Robert Schober

University of Erlangen-Nuremberg

Publications: 41

Mohamed-Slim Alouini

Mohamed-Slim Alouini

King Abdullah University of Science and Technology

Publications: 40

Jinhong Yuan

Jinhong Yuan

UNSW Sydney

Publications: 35

Yonghui Li

Yonghui Li

University of Sydney

Publications: 33

Zhangdui Zhong

Zhangdui Zhong

Beijing Jiaotong University

Publications: 32

Jianhua Ge

Jianhua Ge

Xidian University

Publications: 32

Something went wrong. Please try again later.