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Chong-Yung Chi

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 35 5469 5248 97 97 234 7169

Chong-Yung Chi publications per year

The chart shows the history of publications by Chong-Yung Chi between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chong-Yung Chi published across 43 years, from 1983 to 2025, averaging 6 papers a year. Output peaked at 20 publications in 2011. 11 of the 258 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1983 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2011. 1983: 2 publications 1984: 3 publications 1985: 3 publications 1986: 4 publications 1987: 6 publications 1988: 2 publications 1989: 2 publications 1990: 1 publication 1991: 5 publications 1992: 6 publications 1993: 4 publications 1994: 4 publications 1995: 3 publications 1996: 4 publications 1997: 4 publications 1998: 1 publication 1999: 7 publications 2000: 5 publications 2001: 7 publications 2002: 5 publications 2003: 4 publications 2004: 4 publications 2005: 6 publications 2006: 10 publications 2007: 12 publications 2008: 10 publications 2009: 13 publications 2010: 11 publications 2011: 20 publications 2012: 13 publications 2013: 16 publications 2014: 7 publications 2015: 6 publications 2016: 4 publications 2017: 8 publications 2018: 4 publications 2019: 4 publications 2020: 5 publications 2021: 1 publication 2022: 4 publications 2023: 7 publications 2024: 7 publications 2025: 4 publications
1983 2025

258 publications in total across all disciplines

View publications per year as a table
Chong-Yung Chi: publications per year, 1983 to 2025
Year Publications
1983 2
1984 3
1985 3
1986 4
1987 6
1988 2
1989 2
1990 1
1991 5
1992 6
1993 4
1994 4
1995 3
1996 4
1997 4
1998 1
1999 7
2000 5
2001 7
2002 5
2003 4
2004 4
2005 6
2006 10
2007 12
2008 10
2009 13
2010 11
2011 20
2012 13
2013 16
2014 7
2015 6
2016 4
2017 8
2018 4
2019 4
2020 5
2021 1
2022 4
2023 7
2024 7
2025 4
Total 258
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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.

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, 234–253 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: 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.

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
234–253 399 234
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
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
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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.

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, 35 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: 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.

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 35
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
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

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

External Links

Personal website of Chong-Yung Chi

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For military families, specialized support programs are available. Accessing online degrees for military spouses ensures that education remains accessible despite frequent relocations, making it easier to pursue advanced study and career growth in engineering and related fields.

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