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
Computer Science D-index 40 Citations 7,022 242 World Ranking 4414 National Ranking 410
Electronics and Electrical Engineering D-index 52 Citations 10,531 335 World Ranking 1031 National Ranking 115

Research.com Recognitions

Awards & Achievements

2020 - IEEE Fellow For contributions to channel estimation and signal processing for wireless communications

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Computer network
  • Telecommunications

Feifei Gao focuses on Communication channel, Algorithm, Electronic engineering, Relay and MIMO. Feifei Gao combines subjects such as Transmission, Telecommunications link and Control theory with his study of Communication channel. His study in Algorithm is interdisciplinary in nature, drawing from both Estimator, Polynomial rooting, Orthogonal frequency-division multiplexing and Fading.

Feifei Gao has researched Electronic engineering in several fields, including Antenna array, Data transmission, Extremely high frequency, Node and Signal. His Relay study integrates concerns from other disciplines, such as Signal-to-noise ratio, Estimation theory, Linear network coding and Modulation. His studies in Cognitive radio integrate themes in fields like Transmitter, Transmitter power output and Beamforming.

His most cited work include:

  • On channel estimation and optimal training design for amplify and forward relay networks (417 citations)
  • Optimal channel estimation and training design for two-way relay networks (304 citations)
  • A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model (289 citations)

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

His primary areas of investigation include Communication channel, Algorithm, MIMO, Electronic engineering and Telecommunications link. Feifei Gao has included themes like Relay, Transmission, Beamforming and Control theory in his Communication channel study. The Algorithm study combines topics in areas such as Fading, Signal-to-noise ratio, Estimator, Statistics and Carrier frequency offset.

His research in MIMO intersects with topics in Wireless, Channel state information and Duplex. His Electronic engineering study combines topics from a wide range of disciplines, such as Cognitive radio, Data transmission, Backscatter and Signal processing. His Telecommunications link research includes themes of Overhead, Antenna array, Computer engineering, Real-time computing and Base station.

He most often published in these fields:

  • Communication channel (51.06%)
  • Algorithm (34.11%)
  • MIMO (28.81%)

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

  • Communication channel (51.06%)
  • MIMO (28.81%)
  • Algorithm (34.11%)

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

His main research concerns Communication channel, MIMO, Algorithm, Telecommunications link and Base station. His Communication channel research includes elements of Deep learning, Artificial intelligence and Electronic engineering, Beamforming. His Electronic engineering research integrates issues from Transmission, Data transmission and Signal processing.

His MIMO research is multidisciplinary, incorporating perspectives in Antenna, Overhead, Orthogonal frequency-division multiplexing and Compressed sensing. His work deals with themes such as Direction of arrival, Detector, Artificial neural network, Expectation–maximization algorithm and Estimator, which intersect with Algorithm. His study in Telecommunications link is interdisciplinary in nature, drawing from both Scheduling, Duplex and Carrier frequency offset.

Between 2018 and 2021, his most popular works were:

  • Model-Driven Deep Learning for Physical Layer Communications (99 citations)
  • Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels (74 citations)
  • Sparse Bayesian Learning for the Time-Varying Massive MIMO Channels: Acquisition and Tracking (66 citations)

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

  • Statistics
  • Computer network
  • Telecommunications

His primary areas of study are Communication channel, Telecommunications link, MIMO, Algorithm and Electronic engineering. His research integrates issues of Topology, Transmission and Estimator in his study of Communication channel. The concepts of his Telecommunications link study are interwoven with issues in Duplex, Direction of arrival, Compressed sensing and Wideband.

The study incorporates disciplines such as Computer engineering, Beamforming, Deep learning, Artificial intelligence and Base station in addition to MIMO. His Algorithm study integrates concerns from other disciplines, such as Carrier frequency offset, Posterior probability, Entropy and Modulation. His Electronic engineering study incorporates themes from Signal processing and Precoding.

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

On channel estimation and optimal training design for amplify and forward relay networks

Feifei Gao;Tao Cui;A. Nallanathan.
IEEE Transactions on Wireless Communications (2008)

489 Citations

Optimal channel estimation and training design for two-way relay networks

Feifei Gao;Rui Zhang;Ying-Chang Liang.
IEEE Transactions on Communications (2009)

345 Citations

A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model

Hongxiang Xie;Feifei Gao;Shun Zhang;Shi Jin.
IEEE Transactions on Vehicular Technology (2017)

340 Citations

Deep learning for wireless physical layer: Opportunities and challenges

Tianqi Wang;Chao-Kai Wen;Hanqing Wang;Feifei Gao.
China Communications (2017)

331 Citations

Distributed Space–Time Coding for Two-Way Wireless Relay Networks

Tao Cui;Feifei Gao;T. Ho;A. Nallanathan.
IEEE Transactions on Signal Processing (2009)

324 Citations

Model-Driven Deep Learning for Physical Layer Communications

Hengtao He;Shi Jin;Chao-Kai Wen;Feifei Gao.
IEEE Wireless Communications (2019)

300 Citations

Ambient Backscatter Communication Systems: Detection and Performance Analysis

Gongpu Wang;Feifei Gao;Rongfei Fan;Chintha Tellambura.
IEEE Transactions on Communications (2016)

227 Citations

A generalized ESPRIT approach to direction-of-arrival estimation

F. Gao;A.B. Gershman.
IEEE Signal Processing Letters (2005)

210 Citations

Channel Estimation for OFDM Modulated Two-Way Relay Networks

Feifei Gao;Rui Zhang;Ying-Chang Liang.
IEEE Transactions on Signal Processing (2009)

204 Citations

An Overview of Low-Rank Channel Estimation for Massive MIMO Systems

Hongxiang Xie;Feifei Gao;Shi Jin.
IEEE Access (2016)

204 Citations

Best Scientists Citing Feifei Gao

Shi Jin

Shi Jin

Southeast University

Publications: 77

Ying-Chang Liang

Ying-Chang Liang

University of Electronic Science and Technology of China

Publications: 69

Nan Zhao

Nan Zhao

Dalian University of Technology

Publications: 54

Zhu Han

Zhu Han

University of Houston

Publications: 45

Geoffrey Ye Li

Geoffrey Ye Li

Imperial College London

Publications: 43

Caijun Zhong

Caijun Zhong

Zhejiang University

Publications: 42

Arumugam Nallanathan

Arumugam Nallanathan

Queen Mary University of London

Publications: 40

Guan Gui

Guan Gui

Nanjing University of Posts and Telecommunications

Publications: 38

Zhaoyang Zhang

Zhaoyang Zhang

Zhejiang University

Publications: 36

Victor C. M. Leung

Victor C. M. Leung

University of British Columbia

Publications: 34

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 34

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 33

Mugen Peng

Mugen Peng

Beijing University of Posts and Telecommunications

Publications: 33

Chintha Tellambura

Chintha Tellambura

University of Alberta

Publications: 29

Fumiyuki Adachi

Fumiyuki Adachi

Tohoku University

Publications: 28

Trung Q. Duong

Trung Q. Duong

Queen's University Belfast

Publications: 28

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

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