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Yih-Fang Huang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 33 5929 5693 1992 1859 177 7653
Computer Science 33 12423 12061 5038 4811 179 7669

Yih-Fang Huang publications per year

The chart shows the history of publications by Yih-Fang Huang between 1980 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yih-Fang Huang published across 47 years, from 1980 to 2026, averaging 4.1 papers a year. Output peaked at 12 publications in 2000. 8 of the 193 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1980 to 2026. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 2000. 1980: 1 publication 1981: 0 publications 1982: 1 publication 1983: 0 publications 1984: 0 publications 1985: 1 publication 1986: 1 publication 1987: 5 publications 1988: 2 publications 1989: 3 publications 1990: 2 publications 1991: 3 publications 1992: 2 publications 1993: 4 publications 1994: 8 publications 1995: 5 publications 1996: 3 publications 1997: 5 publications 1998: 9 publications 1999: 10 publications 2000: 12 publications 2001: 4 publications 2002: 0 publications 2003: 4 publications 2004: 4 publications 2005: 11 publications 2006: 9 publications 2007: 5 publications 2008: 5 publications 2009: 6 publications 2010: 6 publications 2011: 4 publications 2012: 6 publications 2013: 2 publications 2014: 6 publications 2015: 5 publications 2016: 4 publications 2017: 3 publications 2018: 7 publications 2019: 1 publication 2020: 2 publications 2021: 5 publications 2022: 4 publications 2023: 5 publications 2024: 0 publications 2025: 7 publications 2026: 1 publication
1980 2026

193 publications in total across all disciplines

View publications per year as a table
Yih-Fang Huang: publications per year, 1980 to 2026
Year Publications
1980 1
1981 0
1982 1
1983 0
1984 0
1985 1
1986 1
1987 5
1988 2
1989 3
1990 2
1991 3
1992 2
1993 4
1994 8
1995 5
1996 3
1997 5
1998 9
1999 10
2000 12
2001 4
2002 0
2003 4
2004 4
2005 11
2006 9
2007 5
2008 5
2009 6
2010 6
2011 4
2012 6
2013 2
2014 6
2015 5
2016 4
2017 3
2018 7
2019 1
2020 2
2021 5
2022 4
2023 5
2024 0
2025 7
2026 1
Total 193
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Yih-Fang Huang 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 Yih-Fang Huang 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, 174–193 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: 177 publications — 22nd percentile

22% 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
174–193 445 177
194–213 430
214–233 431
234–253 399
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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Yih-Fang Huang 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 Yih-Fang Huang 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, 33 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: 33 D-Index — 14th percentile

14% 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 33
34 244
35 236
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

Overview

Yih-Fang Huang is affiliated with the University of Notre Dame in the United States and has contributed to the field of Computer Science with a notable emphasis on Artificial Intelligence and Computer Networks and Communications. Their research spans topics related to privacy-preserving technologies, age of information optimization, and stochastic gradient optimization techniques, among others.

Their work covers several specialized areas including:

  • Privacy-Preserving Technologies in Data
  • Age of Information Optimization
  • Stochastic Gradient Optimization Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • Distributed Sensor Networks and Detection Algorithms
  • Privacy, Security, and Data Protection
  • Advanced MIMO Systems Optimization

Yih-Fang Huang has coauthored multiple papers with frequent collaborators such as Stefan Werner, Anthony Kuh, Vinay Chakravarthi Gogineni, François Gauthier, and Francois Gauthier. They have published extensively in various venues, most notably in arXiv (Cornell University), the IEEE Internet of Things Journal, IEEE Transactions on Signal Processing, ICASSP 2022, and IEEE Internet of Things Magazine.

Recent papers include:

  • Nonlinear Adaptive Filtering With Kernel Set-Membership Approach, 2020, IEEE Transactions on Signal Processing
  • Communication-Efficient Online Federated Learning Framework for Nonlinear Regression, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Communication-Efficient Online Federated Learning Strategies for Kernel Regression, 2022, IEEE Internet of Things Journal
  • Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions, 2022, IEEE Internet of Things Magazine
  • Personalized Graph Federated Learning With Differential Privacy, 2023, IEEE Transactions on Signal and Information Processing over Networks

Their publication record reflects a focus on developing algorithms and frameworks that improve online learning, federated learning, and privacy in interconnected systems such as IoT and CPS. This body of work often addresses the challenges of communication efficiency, personalization, and differential privacy in distributed environments.

Yih-Fang Huang's primary area of expertise is Computer Science, supported by numerous contributions also involving Electrical and Electronic Engineering and Sociology and Political Science. The research distribution highlights a multidisciplinary approach within technology and its societal implications.

Best Publications

  • On the value of information in system identification-Bounded noise case

    Eli Fogel;Y. F. Huang

  • Indeterminacy and identifiability of blind identification

    L. Tong;R.-w. Liu;V.C. Soon;Y.-F. Huang

  • State Estimation in Electric Power Grids: Meeting New Challenges Presented by the Requirements of the Future Grid

    Yih-Fang Huang;S. Werner;Jing Huang;N. Kashyap

  • Set-membership filtering and a set-membership normalized LMS algorithm with an adaptive step size

    S. Gollamudi;S. Nagaraj;S. Kapoor;Yih-Fang Huang

  • Bounds on the number of hidden neurons in multilayer perceptrons

    S.-C. Huang;Y.-F. Huang

  • Asymptotically convergent modified recursive least-squares with data-dependent updating and forgetting factor for systems with bounded noise

    S. Dasgupta;Yih-Fang Huang

  • Stochastic Dynamic Pricing for EV Charging Stations With Renewable Integration and Energy Storage

    Chao Luo;Yih-Fang Huang;Vijay Gupta

  • Stochastic Dynamic Pricing for EV Charging Stations with Renewables Integration and Energy Storage

    Chao Luo;Yih-Fang Huang;Vijay Gupta

  • Placement of EV Charging Stations --- Balancing Benefits among Multiple Entities

    Chao Luo;Yih-Fang Huang;Vijay Gupta

  • Distributed Least Mean-Square Estimation With Partial Diffusion

    Reza Arablouei;Stefan Werner;Yih-Fang Huang;Kutluyil Dogancay

  • BEACON: an adaptive set-membership filtering technique with sparse updates

    S. Nagaraj;S. Gollamudi;S. Kapoor;Yih-Fang Huang

  • Adaptive Distributed Estimation Based on Recursive Least-Squares and Partial Diffusion

    Reza Arablouei;Kutluyil Dogancay;Stefan Werner;Yih-Fang Huang

  • Adaptive interference suppression in multiuser wireless OFDM systems using antenna arrays

    S. Kapoor;D.J. Marchok;Yih-Fang Huang

  • Set-membership adaptive equalization and an updator-shared implementation for multiple channel communications systems

    S. Gollamudi;S. Kapoor;S. Nagaraj;Yih-Fang Huang

  • Source Localization and Tracking Using Distributed Asynchronous Sensors

    Teng Li;A. Ekpenyong;Yih-Fang Huang

  • A subspace method for estimating sensor gains and phases

    V.C. Soon;L. Tong;Y.F. Huang;R. Liu

  • Turbo codes for image transmission-a joint channel and source decoding approach

    Z. Peng;Y.-F. Huang;D.J. Costello

  • Pilot assisted synchronization for wireless OFDM systems over fast time varying fading channels

    S. Kapoor;D.J. Marchok;Y.-F. Huang

  • A recursive estimation algorithm using selective updating for spectral analysis and adaptive signal processing

    Y. Huang

  • Opportunistic transmission scheduling for multiuser MIMO systems

    Liang Dong;Teng Li;Yih-Fang Huang

  • Statistical Signal Processing

    Unknown

Frequent Co-Authors

Vijay Gupta
Vijay Gupta Purdue University West Lafayette
Josef A. Nossek
Josef A. Nossek Technical University of Munich
Daniel J. Costello
Daniel J. Costello University of Notre Dame
Kutluyil Dogancay
Kutluyil Dogancay University of South Australia
Soura Dasgupta
Soura Dasgupta University of Iowa
Taneli Riihonen
Taneli Riihonen Tampere University
Lang Tong
Lang Tong Cornell University
Visa Koivunen
Visa Koivunen Aalto University
Er-Wei Bai
Er-Wei Bai University of Iowa
Danilo P. Mandic
Danilo P. Mandic Imperial College London

External Links

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Choosing the best competency-based colleges can accelerate your degree progress by focusing on skill mastery rather than time spent in class. This approach fits well with engineering's practical nature and can prepare graduates to meet industry demands quickly and effectively.

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