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Feifei Gao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 83 438 424 69 69 513 21416
Computer Science 84 869 838 131 129 519 21776

Feifei Gao publications per year

The chart shows the history of publications by Feifei Gao between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Feifei Gao published across 22 years, from 2004 to 2025, averaging 31.4 papers a year. Output peaked at 64 publications in 2023. 100 of the 691 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 64. Peak 64 publications in 2023. 2004: 1 publication 2005: 1 publication 2006: 12 publications 2007: 11 publications 2008: 17 publications 2009: 13 publications 2010: 22 publications 2011: 20 publications 2012: 23 publications 2013: 31 publications 2014: 39 publications 2015: 34 publications 2016: 35 publications 2017: 53 publications 2018: 42 publications 2019: 44 publications 2020: 31 publications 2021: 45 publications 2022: 53 publications 2023: 64 publications 2024: 60 publications 2025: 40 publications
2004 2025

691 publications in total across all disciplines

View publications per year as a table
Feifei Gao: publications per year, 2004 to 2025
Year Publications
2004 1
2005 1
2006 12
2007 11
2008 17
2009 13
2010 22
2011 20
2012 23
2013 31
2014 39
2015 34
2016 35
2017 53
2018 42
2019 44
2020 31
2021 45
2022 53
2023 64
2024 60
2025 40
Total 691
Download as CSV

Feifei Gao publications per year - data summary

  • Feifei Gao, a Electronics and Electrical Engineering scholar from Tsinghua University, has 691 publications recorded across 22 years, from 2004 to 2025.
  • The oldest publication on record dates to 2004 and the most recent to 2025.
  • The most productive year is 2023, with 64 publications.
  • The least productive years with any output are 2004 and 2005, with 1 publication each.
  • The rate of publication averages 31.4 papers per year over the whole span, or 31.4 per year counting only the 22 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 262 publications, 38% of the career total.
  • Split into equal eras - 2004-2011: 97 publications (12.1 per year); 2012-2019: 301 publications (37.6 per year); 2020-2025: 293 publications (48.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 494–513 publications, is where this scientist sits. 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: 445 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103 513
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Feifei Gao publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Feifei Gao, a Electronics and Electrical Engineering scholar from Tsinghua University, records 513 publications - the 85th percentile of the discipline.
  • 85% of ranked Electronics and Electrical Engineering scientists score the same or lower than Feifei Gao, and about 15% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Feifei Gao ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 83 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23 83
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Feifei Gao, a Electronics and Electrical Engineering scholar from Tsinghua University, records 83 D-Index - the 94th percentile of the discipline.
  • 94% of ranked Electronics and Electrical Engineering scientists score the same or lower than Feifei Gao, and about 6% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Feifei Gao ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

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

External Links

Personal website of Feifei Gao Google Scholar page

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Related Online Degrees & Career Pathways

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Many roles in Electronics and Electrical Engineering suit careers for introverts, where individuals can thrive in focused, detail-oriented environments. Understanding these nuanced pathways can help students find their ideal professional fit while maximizing their educational investments.

Best Scientists Citing Feifei Gao

Shi Jin

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Nan Zhao

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Zhu Han

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Geoffrey Ye Li

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Caijun Zhong

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Gongpu Wang

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Guan Gui

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