World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
21776
World Ranking
869
National Ranking
131

Electronics and Electrical Engineering

D-Index
83
Citations
21416
World Ranking
438
National Ranking
68

Feifei Gao publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Feifei Gao sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 513 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Feifei Gao D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Feifei Gao sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 83 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

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

Overview

Feifei Gao is a researcher affiliated with Tsinghua University in China, specializing in fields related to engineering, with a primary focus on electrical and electronic engineering and aerospace engineering. Their research also spans artificial intelligence, computer networks and communications, and computer vision and pattern recognition.

Their scholarly work addresses several topics within wireless communications and related technologies. Key areas of study include:

  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • UAV Applications and Optimization
  • Wireless Signal Modulation Classification
  • Antenna Design and Analysis

Feifei Gao has contributed extensively to the academic literature, with notable papers including:

  • 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach, 2020, IEEE Transactions on Wireless Communications
  • Terahertz Massive MIMO With Holographic Reconfigurable Intelligent Surfaces, 2021, IEEE Transactions on Communications
  • UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning, 2020, IEEE Transactions on Vehicular Technology
  • Toward Semantic Communications: Deep Learning-Based Image Semantic Coding, 2022, IEEE Journal on Selected Areas in Communications
  • Wideband Beamforming for Hybrid Massive MIMO Terahertz Communications, 2021, IEEE Journal on Selected Areas in Communications

The frequent collaborators in their research include Shun Zhang, Shaodan Ma, Shi Jin, Geoffrey Ye Li, and Octavia A. Dobre.

Feifei Gao publishes often in several distinct venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • IEEE Journal on Selected Areas in Communications
  • IEEE Wireless Communications Letters

In addition to journal publications, Feifei Gao has contributed to book literature with the publication of "Communications and Networking" under the Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering in 2023.

Feifei Gao was recognized as an IEEE Fellow in 2020 for contributions to channel estimation and signal processing in wireless communications.

Best Publications

  • Model-Driven Deep Learning for Physical Layer Communications

    Hengtao He;Shi Jin;Chao-Kai Wen;Feifei Gao

  • Deep learning for wireless physical layer: Opportunities and challenges

    Tianqi Wang;Chao-Kai Wen;Hanqing Wang;Feifei Gao

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

    Feifei Gao;Tao Cui;A. Nallanathan

  • Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems

    Bolei Wang;Feifei Gao;Shi Jin;Hai Lin

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

    Hongxiang Xie;Feifei Gao;Shun Zhang;Shi Jin

  • Ambient Backscatter Communication Systems: Detection and Performance Analysis

    Gongpu Wang;Feifei Gao;Rongfei Fan;Chintha Tellambura

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

    Feifei Gao;Rui Zhang;Ying-Chang Liang

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

    Tao Cui;Feifei Gao;T. Ho;A. Nallanathan

  • Noncoherent Detections for Ambient Backscatter System

    Jing Qian;Feifei Gao;Gongpu Wang;Shi Jin

  • Toward Semantic Communications: Deep Learning-Based Image Semantic Coding

    Unknown

  • 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach

    Ruijin Ding;Feifei Gao;Xuemin Sherman Shen

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

    Hongxiang Xie;Feifei Gao;Shi Jin

  • A generalized ESPRIT approach to direction-of-arrival estimation

    F. Gao;A.B. Gershman

  • Terahertz Massive MIMO With Holographic Reconfigurable Intelligent Surfaces

    Ziwei Wan;Zhen Gao;Feifei Gao;Marco Di Renzo

  • Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels

    Yuwen Yang;Feifei Gao;Xiaoli Ma;Shun Zhang

  • UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning

    Yu Zhang;Zhiyu Mou;Feifei Gao;Jing Jiang

  • Joint Information- and Jamming-Beamforming for Physical Layer Security With Full Duplex Base Station

    Fengchao Zhu;Feifei Gao;Minli Yao;Hongxing Zou

  • Channel Estimation for OFDM Modulated Two-Way Relay Networks

    Feifei Gao;Rui Zhang;Ying-Chang Liang

  • Deep Learning-Based Image Semantic Coding for Semantic Communications

    Unknown

  • Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer

    Haichao Wang;Guoru Ding;Feifei Gao;Jin Chen

  • Cognitive beamforming made practical: Effective interference channel and learning-throughput tradeoff

    Rui Zhang;Feifei Gao;Ying-Chang Liang

  • Deep Learning-Based Downlink Channel Prediction for FDD Massive MIMO System

    Yuwen Yang;Feifei Gao;Geoffrey Ye Li;Mengnan Jian

  • Angle Domain Hybrid Precoding and Channel Tracking for Millimeter Wave Massive MIMO Systems

    Jianwei Zhao;Feifei Gao;Weimin Jia;Shun Zhang

  • A Full-Space Spectrum-Sharing Strategy for Massive MIMO Cognitive Radio Systems

    Hongxiang Xie;Bolei Wang;Feifei Gao;Shi Jin

Frequent Co-Authors

Shi Jin
Shi Jin Southeast University
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Gongpu Wang
Gongpu Wang Beijing Jiaotong University
Chintha Tellambura
Chintha Tellambura University of Alberta
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Zhangdui Zhong
Zhangdui Zhong Beijing Jiaotong University
Ying-Chang Liang
Ying-Chang Liang University of Electronic Science and Technology of China
Rui Zhang
Rui Zhang National University of Singapore
Zan Li
Zan Li Xidian University
Xianfu Lei
Xianfu Lei Southwest Jiaotong University

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