World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
56
Citations
15411
World Ranking
2037
National Ranking
25

Chao-Kai Wen 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 Chao-Kai Wen 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: 300 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Chao-Kai Wen 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 Chao-Kai Wen 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: 56 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Chao-Kai Wen is affiliated with National Sun Yat-sen University in Taiwan and has an extensive publication record in engineering and computer science fields. Their research primarily focuses on electrical and electronic engineering, aerospace engineering, artificial intelligence, computer networks and communications, and signal processing.

The scientist's research topics encompass:

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

They have contributed to numerous papers including recent publications such as:

  • "Model-Driven Deep Learning for MIMO Detection," 2020, IEEE Transactions on Signal Processing
  • "Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems," 2020, IEEE Wireless Communications Letters
  • "Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis," 2020, IEEE Transactions on Wireless Communications
  • "Channel Estimation for Extremely Large-Scale Massive MIMO Systems," 2020, IEEE Wireless Communications Letters
  • "Overview of Deep Learning-Based CSI Feedback in Massive MIMO Systems," 2022, IEEE Transactions on Communications

Their frequent coauthors include Shi Jin, Jiajia Guo, Xiao Li, Geoffrey Ye Li, and Jie Yang.

Chao-Kai Wen has published extensively in venues such as:

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

Best Publications

  • 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

  • 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

  • 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

  • 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

  • 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

  • Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems

    Keming Feng;Qisheng Wang;Xiao Li;Chao-Kai Wen

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

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

  • A Model-Driven Deep Learning Network for MIMO Detection

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

  • Decentralized Plug-in Electric Vehicle Charging Selection Algorithm in Power Systems

    Chao-Kai Wen;Jung-Chieh Chen;Jen-Hao Teng;Pangan Ting

  • ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers

    Xuanxuan Gao;Shi Jin;Chao-Kai Wen;Geoffrey Ye Li

  • Channel Estimation for Extremely Large-Scale Massive MIMO Systems

    Yu Han;Shi Jin;Chao-Kai Wen;Xiaoli Ma

  • Overview of Deep Learning-Based CSI Feedback in Massive MIMO Systems

    Unknown

  • On Capacity of Large-Scale MIMO Multiple Access Channels with Distributed Sets of Correlated Antennas

    Jun Zhang;Chao-Kai Wen;Shi Jin;Xiqi Gao

  • Mixed-ADC Massive MIMO Detectors: Performance Analysis and Design Optimization

    Ti-Cao Zhang;Chao-Kai Wen;Shi Jin;Tao Jiang

  • Deep Source-Channel Coding for Sentence Semantic Transmission with HARQ

    Peiwen Jiang;Chao-Kai Wen;Shi Jin;Geoffrey Ye Li

  • System design of the internet of things for residential smart grid

    Sanjana Kadaba Viswanath;Chau Yuen;Wayes Tushar;Wen-Tai Li

  • System Design of Internet-of-Things for Residential Smart Grid

    Sanjana Kadaba Viswanath;Chau Yuen;Wayes Tushar;Wen-Tai Li

Frequent Co-Authors

Shi Jin
Shi Jin Southeast University
Kai-Kit Wong
Kai-Kit Wong University College London
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Chau Yuen
Chau Yuen Nanyang Technological University
Yongpeng Wu
Yongpeng Wu Shanghai Jiao Tong University
Feifei Gao
Feifei Gao Tsinghua University
Michail Matthaiou
Michail Matthaiou Queen's University Belfast
Xiaohu You
Xiaohu You Southeast University
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Jen-Hao Teng
Jen-Hao Teng National Sun Yat-sen University

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