World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
14706
World Ranking
2883
National Ranking
1092

Computer Science

D-Index
51
Citations
15279
World Ranking
5232
National Ranking
2407

Yu Hen Hu 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 Yu Hen Hu 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: 436 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Yu Hen Hu 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 Yu Hen Hu 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: 49 D-Index — 58th percentile

58% 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

  • 1999 - IEEE Fellow For contributions to parallel VLSI algorithms and architectures.

Overview

Yu Hen Hu is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple areas within computer science and engineering, with a significant focus on applications in biomedical engineering and imaging.

Their main fields of study include Computer Science with 86 publications and Engineering with 60 publications. Within these fields, Hu's subfield expertise covers Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, and Radiology, Nuclear Medicine and Imaging.

Hu's research topics highlight a diversity of interests, including

  • Chaos-based Image/Signal Encryption
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Musculoskeletal Pain and Rehabilitation
  • Cryptographic Implementations and Security
  • Gait Recognition and Analysis
  • Multimodal Machine Learning Applications

Recent publications by Hu illustrate the scope of their research contributions. Notable papers include:

  • "HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification," 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Multi-Image Encryption Based on Compressed Sensing and Deep Learning in Optical Gyrator Domain," 2021, IEEE Photonics Journal
  • "Generation of Phase-Only Fourier Hologram Based on Double Phase Method and Quantization Error Analysis," 2020, IEEE Photonics Journal
  • "DeepGA for Automatically Estimating Fetal Gestational Age Through Ultrasound Imaging," 2022, Artificial Intelligence in Medicine
  • "Quantization of Deep Neural Networks for Accurate Edge Computing," 2021, ACM Journal on Emerging Technologies in Computing Systems

Frequent co-authors who have collaborated with Hu include Robert G. Radwin, Jun Wang, Hongrui Jiang, Ji Qiu, and Jianwei Ke.

Hu has contributed to various publication venues, most frequently:

  • arXiv (Cornell University)
  • IEEE Access
  • International Journal of Radiation Oncology*Biology*Physics
  • IEEE Photonics Journal
  • IEEE Transactions on Instrumentation and Measurement

Their work has been recognized by the IEEE Fellow award received in 1999 for contributions to parallel VLSI algorithms and architectures.

Best Publications

  • Detection, classification, and tracking of targets

    Dan Li;K.D. Wong;Yu Hen Hu;A.M. Sayeed

  • Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks

    Xiaohong Sheng;Yu-Hen Hu

  • A patient-adaptable ECG beat classifier using a mixture of experts approach

    Yu Hen Hu;S. Palreddy;W.J. Tompkins

  • Handbook of Neural Network Signal Processing

    Yu Hen Hu;Jeng-Neng Hwang;Jenq-Neng Hwang

  • Vehicle classification in distributed sensor networks

    Marco F. Duarte;Yu Hen Hu

  • CORDIC-based VLSI architectures for digital signal processing

    Y.H. Hu

  • Neural-network-based adaptive matched filtering for QRS detection

    Q. Xue;Y.H. Hu;W.J. Tompkins

  • One-lead ECG for identity verification

    T.W. Shen;W.J. Tompkins;Y.H. Hu

  • Energy-based collaborative source localization using acoustic microsensor array

    Dan Li;Yu Hen Hu

  • Applications of artificial neural networks for ECG signal detection and classification.

    Y H Hu;W J Tompkins;J L Urrusti;V X Afonso

  • The quantization effects of the CORDIC algorithm

    Y.H. Hu

  • Distributed particle filter with GMM approximation for multiple targets localization and tracking in wireless sensor network

    Xiaohong Sheng;Yu-Hen Hu;Parameswaran Ramanathan

  • An angle recoding method for CORDIC algorithm implementation

    Y.H. Hu;S. Naganathan

  • A novel modular systolic array architecture for full-search block matching motion estimation

    H. Yee;Yu Hen Hu

  • Optimal linear spectral unmixing

    Y.H. Hu;H.B. Lee;F.L. Scarpace

  • Correlation-preserved non-gaussian statistical timing analysis with quadratic timing model

    Lizheng Zhang;Weijen Chen;Yuhen Hu;John A. Gubner

  • Power-Line Interference Detection and Suppression in ECG Signal Processing

    Yue-Der Lin;Yu Hen Hu

  • Energy based acoustic source localization

    Xiaohong Sheng;Yu-Hen Hu

  • Energy based collaborative source localization using acoustic micro-sensor array

    Yu Hen Hu;Dan Li

  • A temperature compensation method for CDOM fluorescence sensors in freshwater

    C.J. Watras;C.J. Watras;P.C. Hanson;T.L. Stacy;K.M. Morrison;K.M. Morrison

  • Correlation-Preserved Analysis with Non-Gaussian Statistical Timing Quadratic Timing Model

    Lizheng Zhang;Weijen Chen;Yuhen Hu;John A. Gubner

Frequent Co-Authors

Robert G. Radwin
Robert G. Radwin University of Wisconsin–Madison
Willis J. Tompkins
Willis J. Tompkins University of Wisconsin–Madison
Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Sun-Yuan Kung
Sun-Yuan Kung Princeton University
Quan Pan
Quan Pan Northwestern Polytechnical University
Marco F. Duarte
Marco F. Duarte University of Massachusetts Amherst
Jenq-Neng Hwang
Jenq-Neng Hwang University of Washington
John D. Lee
John D. Lee University of Wisconsin–Madison
Robert E. Holz
Robert E. Holz University of Wisconsin–Madison
Xiaoli Chu
Xiaoli Chu University of Sheffield

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Related Online Degrees & Career Pathways

For those studying Electronics and Electrical Engineering in the USA, exploring related online degrees can open diverse career opportunities. Programs such as instructional design offer pathways into educational technology, training development, and curriculum design, which are increasingly important as engineering fields embrace digital learning tools.

Competency-based learning models are gaining popularity, enabling students to advance by demonstrating skills rather than time spent. Many universities now offer competency based masters that could complement technical expertise with flexible pacing, helping students balance work and study effectively.

Online education also caters well to unique student groups. Specifically, online universities for military spouses provide essential support and flexibility, allowing individuals connected to military families to pursue advanced degrees in engineering or related disciplines without geographic constraints.

Additionally, institutions offering online colleges with weekly start dates give learners the freedom to begin their studies at almost any time, accelerating career progress and adapting to varied schedules in fast-paced engineering sectors.

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