World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
7169
World Ranking
5469
National Ranking
97

Chong-Yung Chi 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 Chong-Yung Chi 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: 234 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Chong-Yung Chi 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 Chong-Yung Chi 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: 35 D-Index — 21st percentile

21% 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 convex analysis and optimization for blind source separation

Overview

Chong-Yung Chi is affiliated with National Tsing Hua University in Taiwan. Their research is situated at the intersection of Computer Science and Engineering, with a significant body of work spanning 29 publications in each field.

Their subfields of study include Artificial Intelligence, Electrical and Electronic Engineering, Media Technology, Aerospace Engineering, and Computer Vision and Pattern Recognition. These reflect a broad engagement with both theoretical and applied dimensions of technology and engineering.

The main research topics explored by Chong-Yung Chi cover a diverse range: Remote-Sensing Image Classification, Privacy-Preserving Technologies in Data, Image and Signal Denoising Methods, Advanced Image Fusion Techniques, Mobile Crowdsensing and Crowdsourcing, Radar Systems and Signal Processing, and Cryptography and Data Security.

Chong-Yung Chi has contributed to multiple publication venues, including arXiv (Cornell University) with six papers, IEEE Transactions on Wireless Communications and IEEE Internet of Things Journal with two papers each, and single papers in IEEE Access and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Notable recent papers include:

  • Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities (2020), IEEE Access
  • Communication-Sensing Region for Cell-Free Massive MIMO ISAC Systems (2024), IEEE Transactions on Wireless Communications
  • Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution (2022), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Differentially Private Federated Clustering Over Non-IID Data (2023), IEEE Internet of Things Journal
  • Differentially Private Federated Learning in Edge Networks: The Perspective of Noise Reduction (2022), IEEE Network

Chong-Yung Chi has worked collaboratively with several frequent co-authors, including Yang Lu, Bo Ai, Yiwei Li, Tony Q. S. Quek, and Shuai Wang. These collaborations have contributed to the development and dissemination of research across their fields of study.

In recognition of their academic contributions, Chong-Yung Chi was named an IEEE Fellow in 2020 for their work on convex analysis and optimization for blind source separation.

Best Publications

  • Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization

    Kun-Yu Wang;Anthony Man-Cho So;Tsung-Hui Chang;Wing-Kin Ma

  • A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing

    Wing-Kin Ma;Jose M. Bioucas-Dias;Tsung-Han Chan;Nicolas Gillis

  • A Convex Analysis-Based Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing

    Tsung-Han Chan;Chong-Yung Chi;Yu-Min Huang;Wing-Kin Ma

  • QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach

    Wei-Cheng Liao;Tsung-Hui Chang;Wing-Kin Ma;Chong-Yung Chi

  • DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri–Rao Subspace Approach

    Wing-Kin Ma;Tsung-Han Hsieh;Chong-Yung Chi

  • Distributed Robust Multicell Coordinated Beamforming With Imperfect CSI: An ADMM Approach

    Chao Shen;Tsung-Hui Chang;Kun-Yu Wang;Zhengding Qiu

  • A Simplex Volume Maximization Framework for Hyperspectral Endmember Extraction

    Tsung-Han Chan;Wing-Kin Ma;A. Ambikapathi;Chong-Yung Chi

  • Convex Optimization for Signal Processing and Communications

    Unknown

  • A Convex Analysis Framework for Blind Separation of Non-Negative Sources

    Tsung-Han Chan;Wing-Kin Ma;Chong-Yung Chi;Yue Wang

  • Coordinated Beamforming for Multiuser MISO Interference Channel Under Rate Outage Constraints

    Wei-Chiang Li;Tsung-Hui Chang;Che Lin;Chong-Yung Chi

  • DOA estimation of quasi-stationary signals via Khatri-Rao subspace

    Wing-Kin Ma;Tsung-Han Hsieh;Chong-Yung Chi

  • Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case

    Chia-Hsiang Lin;Wing-Kin Ma;Wei-Chiang Li;Chong-Yung Chi

  • On the Impact of Quantized Channel Feedback in Guaranteeing Secrecy with Artificial Noise: The Noise Leakage Problem

    Shih-Chun Lin;Tsung-Hui Chang;Ya-Lan Liang;Y P Hong

  • Power Allocation and Time-Domain Artificial Noise Design for Wiretap OFDM with Discrete Inputs

    Haohao Qin;Yin Sun;Tsung-Hui Chang;Xiang Chen

  • Batch processing algorithms for blind equalization using higher-order statistics

    Chong-Yung Chi;Ching-Yung Chen;Chil-Horng Chen;Chih-Chun Feng

  • Chance-Constrained Robust Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing

    A. Ambikapathi;T. Chan;Wing-Kin Ma;Chong-Yung Chi

  • Probabilistic SINR constrained robust transmit beamforming: A Bernstein-type inequality based conservative approach

    Kun-Yu Wang;Tsung-Hui Chang;Wing-Kin Ma;Anthony Man-Cho So

  • Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

    Chong-Yung Chi;Wei-Chiang Li;Chia-Hsiang Lin

  • Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications

    C. Chi;C. Feng;C. Chen

  • A Computationally Fast Approach to Maximum-Likelihood Deconvolution

    Chong Yung Chi;Jerry M. Mended;D. Hampson

  • A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing

    Chia-Hsiang Lin;Chong-Yung Chi;Yu-Hsiang Wang;Tsung-Han Chan

  • Training Sequence Design for Discriminatory Channel Estimation in Wireless MIMO Systems

    Tsung-Hui Chang;Wei-Cheng Chiang;Y.-W Peter Hong;Chong-Yung Chi

  • Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing

    Tsung-Han Chan;Chong-Yung Chi;Yu-Min Huang;Wing-Kin Ma

  • On the impact of quantized channel feedback in guaranteeing secrecy with artificial noise

    Ya-Lan Liang;Yung-Shun Wang;Tsung-Hui Chang;Y.-W. Peter Hong

Frequent Co-Authors

Wing-Kin Ma
Wing-Kin Ma Chinese University of Hong Kong
Tsung-Hui Chang
Tsung-Hui Chang Chinese University of Hong Kong, Shenzhen
Yue Wang
Yue Wang Zhejiang University
Shidong Zhou
Shidong Zhou Tsinghua University
Yin Sun
Yin Sun Auburn University
Jerry M. Mendel
Jerry M. Mendel University of Southern California
David G. Long
David G. Long Brigham Young University
Anthony Man-Cho So
Anthony Man-Cho So Chinese University of Hong Kong
Zhi Ding
Zhi Ding University of California, Davis
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen

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