World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6418
World Ranking
9772
National Ranking
4122

Mei-Yuh Hwang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mei-Yuh Hwang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 109 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Mei-Yuh Hwang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mei-Yuh Hwang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to speech and language technology

Overview

Mei-Yuh Hwang is affiliated with Microsoft in the United States and specializes in medical research, with a primary focus on the field of Medicine. Their research interests encompass several subfields, including Hematology, Otorhinolaryngology, Molecular Biology, Public Health, Environmental and Occupational Health, and Epidemiology.

Their recent publications demonstrate engagement with diverse aspects of medical science and clinical research. These publications include:

  • Survival and Quality of Life Analysis in a Randomized Deintensification Trial for Locally Advanced HPV Positive Oropharynx Cancer Patients, 2020, International Journal of Radiation Oncology*Biology*Physics
  • Clinical Applications of the Microbiome in Obstetrics, 2023, Neonatal Medicine
  • OC 35.2 The Role of Anti-Factor-Xa in the Dosing and Administration of Low Molecular Weight Heparins in Pregnancy: A Systematic Review and Meta-Analysis, 2023, Research and Practice in Thrombosis and Haemostasis

The frequent publication outlets associated with Mei-Yuh Hwang include:

  • International Journal of Radiation Oncology*Biology*Physics
  • Neonatal Medicine
  • Research and Practice in Thrombosis and Haemostasis

The scientist collaborates often with several researchers, including Marshall R. Posner, D.K. Misiukiewicz, Vishal Gupta, Brett A. Miles, and Richard L. Bakst.

Key topics of their research cover a range of medical and clinical domains such as:

  • Head and Neck Cancer Studies
  • Gut microbiota and health
  • Pregnancy and Medication Impact
  • Urinary Tract Infections Management
  • Blood Coagulation and Thrombosis Mechanisms
  • Venous Thromboembolism Diagnosis and Management
  • Hemophilia Treatment and Research

In 2019, Mei-Yuh Hwang was recognized as an IEEE Fellow for contributions to speech and language technology, indicating expertise beyond the medical sciences and involvement in technology development.

Best Publications

  • The SPHINX-II Speech Recognition System: An Overview

    Xuedong Huang;Fileno Alleva;Hsiao Hon;Mei Hwang

  • Mixtures of bayesian networks

    Bo Thiesson;Christopher A. Meek;David Maxwell Chickering;David Earl Heckerman

  • Recurrent neural networks for language understanding.

    Kaisheng Yao;Geoffrey Zweig;Mei-Yuh Hwang;Yangyang Shi

  • Generating large units of graphonemes with mutual information criterion for letter to sound conversion

    Mei-Yuh Hwang;Li Jiang

  • Methods and apparatus for automatically synchronizing electronic audio files with electronic text files

    David E. Heckerman;Fileno A. Alleva;Robert L. Rounthwaite;Daniel Rosen

  • Method and apparatus for constructing and using syllable-like unit language models

    Mei-Yuh Hwang;Fileno A. Alleva;Rebecca C. Weiss

  • Predicting unseen triphones with senones

    Mei-Yuh Hwang;Xuedong Huang;F.A. Alleva

  • Shared-distribution hidden Markov models for speech recognition

    Mei-Yuh Hwang;Xuedong Huang

  • Cross-Domain and Cross-Language Portability of Acoustic Features Estimated by Multilayer Perceptrons

    A. Stolcke;F. Grezl;Mei-Yuh Hwang;Xin Lei

  • Predicting unseen triphones with senones

    M.-Y. Hwang;X. Huang;F. Alleva

  • Assignment of semantic labels to a sequence of words using neural network architectures

    Anoop Deoras;Kaisheng Yao;Xiaodong He;Li Deng

  • Methods and apparatus for performing speech recognition using acoustic models which are improved through an interactive process

    David E. Heckerman;Fileno A. Alleva;Robert L. Rounthwaite;Daniel Rosen

  • Subphonetic modeling with Markov states-Senone

    M.Y. Hwang;X. Huang

  • Applying SPHINX-II to the DARPA Wall Street Journal CSR task

    F. Alleva;H. Hon;X. Huang;M. Hwang

  • The SPHINX speech recognition system

    K.-F. Lee;H.-W. Hon;M.-Y. Hwang;S. Mahajan

  • Domain Adversarial Training for Accented Speech Recognition

    Sining Sun;Ching-Feng Yeh;Mei-Yuh Hwang;Mari Ostendorf

  • Recent innovations in speech-to-text transcription at SRI-ICSI-UW

    A. Stolcke;Barry Chen;H. Franco;Venkata Ramana Rao Gadde

  • Microsoft Windows highly intelligent speech recognizer: Whisper

    Xuedong Huang;A. Acero;F. Alleva;Mei-Yuh Hwang

  • New-word pronunciation learning using a pronunciation graph

    Mei-Yuh Hwang

  • Method and system for dynamically adjusted training for speech recognition

    Hsiao-Wuen Hon;Xuedong D. Huang;Mei-Yuh Hwang;Li Jiang

Frequent Co-Authors

Xuedong Huang
Xuedong Huang Microsoft (United States)
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Dong Yu
Dong Yu Tencent (China)
Kai-Fu Lee
Kai-Fu Lee Sinovation Ventures
Mari Ostendorf
Mari Ostendorf University of Washington
Alejandro Acero
Alejandro Acero Apple (United States)
Li Deng
Li Deng Citadel
David Heckerman
David Heckerman Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)

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