World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
94
Citations
38443
World Ranking
249
National Ranking
36

Computer Science

D-Index
94
Citations
38540
World Ranking
481
National Ranking
65

Shi Jin 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 Shi Jin 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: 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 publications 1,065+

This scientist: 706 publications — 94th percentile

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

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

Shi Jin 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 Shi Jin sits on this spectrum.

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: 94 D-Index — 96th percentile

96% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Shi Jin is affiliated with Southeast University in China and has a research focus primarily in the fields of Engineering and Computer Science. Their work spans several subfields, prominently Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence, and Electronic, Optical and Magnetic Materials.

Their research topics include:

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

Shi Jin has contributed to multiple recent research papers, including:

  • "Federated Learning With Differential Privacy: Algorithms and Performance Analysis," 2020, IEEE Transactions on Information Forensics and Security
  • "Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement," 2020, IEEE Transactions on Wireless Communications
  • "A wireless communication scheme based on space- and frequency-division multiplexing using digital metasurfaces," 2021, Nature Electronics
  • "Model-Driven Deep Learning for MIMO Detection," 2020, IEEE Transactions on Signal Processing
  • "Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis," 2020, IEEE Transactions on Wireless Communications

Their frequent coauthors include Chao-Kai Wen, Xiao Li, Wankai Tang, Tie Jun Cui, and Jiajia Guo.

Shi Jin publishes regularly in several prominent venues, most notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • IEEE Wireless Communications Letters
  • IEEE Transactions on Vehicular Technology

Shi Jin has authored books published by Cambridge University Press, including "Wireless Communications and Machine Learning," which is scheduled for publication in 2025.

Best Publications

  • Federated Learning With Differential Privacy: Algorithms and Performance Analysis

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

  • Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement

    Wankai Tang;Ming Zheng Chen;Xiangyu Chen;Jun Yan Dai

  • Deep Learning for Massive MIMO CSI Feedback

    Chao-Kai Wen;Wan-Ting Shih;Shi Jin

  • Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI

    Yu Han;Wankai Tang;Shi Jin;Chao-Kai Wen

  • Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

    Hengtao He;Chao-Kai Wen;Shi Jin;Geoffrey Ye Li

  • MIMO Transmission Through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation

    Wankai Tang;Jun Yan Dai;Ming Zheng Chen;Kai-Kit Wong

  • Model-Driven Deep Learning for Physical Layer Communications

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

  • Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means

    Qi Zhang;Shi Jin;Kai-Kit Wong;Hongbo Zhu

  • Deep learning for wireless physical layer: Opportunities and challenges

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

  • Programmable time-domain digital-coding metasurface for non-linear harmonic manipulation and new wireless communication systems.

    Jie Zhao;Xi Yang;Jun Yan Dai;Qiang Cheng

  • 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

  • A wireless communication scheme based on space- and frequency-division multiplexing using digital metasurfaces

    Lei Zhang;Ming Zheng Chen;Wankai Tang;Jun Yan Dai

  • Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels

    Tianqi Wang;Chao-Kai Wen;Shi Jin;Geoffrey Ye Li

  • Model-Driven Deep Learning for MIMO Detection

    Hengtao He;Chao-Kai Wen;Shi Jin;Geoffrey Ye Li

  • Beam Division Multiple Access Transmission for Massive MIMO Communications

    Chen Sun;Xiqi Gao;Shi Jin;Michail Matthaiou

  • Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs

    Chao-Kai Wen;Chang-Jen Wang;Shi Jin;Kai-Kit Wong

  • Uplink Achievable Rate for Massive MIMO Systems With Low-Resolution ADC

    Li Fan;Shi Jin;Chao-Kai Wen;Haixia Zhang

  • Aerial Intelligent Reflecting Surface: Joint Placement and Passive Beamforming Design With 3D Beam Flattening

    Haiquan Lu;Yong Zeng;Shi Jin;Rui Zhang

  • Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

    Jiajia Guo;Chao-Kai Wen;Shi Jin;Geoffrey Ye Li

  • Channel Estimation for Massive MIMO Using Gaussian-Mixture Bayesian Learning

    Chao-Kai Wen;Shi Jin;Kai-Kit Wong;Jung-Chieh Chen

  • Federated Learning with Differential Privacy: Algorithms and Performance Analysis

    Kang Wei;Jun Li;Ming Ding;Chuan Ma

Frequent Co-Authors

Xiqi Gao
Xiqi Gao Southeast University
Kai-Kit Wong
Kai-Kit Wong University College London
Chao-Kai Wen
Chao-Kai Wen National Sun Yat-sen University
Feifei Gao
Feifei Gao Tsinghua University
Hongbo Zhu
Hongbo Zhu Nanjing University of Posts and Telecommunications
Michail Matthaiou
Michail Matthaiou Queen's University Belfast
Yongming Huang
Yongming Huang Southeast University
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Jun Zhang
Jun Zhang Hong Kong University of Science and Technology
Xiaohu You
Xiaohu You Southeast University

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