World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
7653
World Ranking
5929
National Ranking
1992

Computer Science

D-Index
33
Citations
7669
World Ranking
12423
National Ranking
5038

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.

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: 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.

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.

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.

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

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