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

D-Index & Metrics

Computer Science

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

Electronics and Electrical Engineering

D-Index
94
Citations
38443
World Ranking
249
National Ranking
35

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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