World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
14976
World Ranking
9032
National Ranking
1160

Hsiao-Wuen Hon 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 Hsiao-Wuen Hon 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Hsiao-Wuen Hon 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 Hsiao-Wuen Hon 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: 40 D-Index — 37th percentile

37% 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

  • 2007 - IEEE Fellow For contributions to speech recognition research and product development

Overview

Hsiao-Wuen Hon is affiliated with Microsoft Research Asia in China. Their research primarily focuses on computer science, with a particular emphasis on artificial intelligence, computer networks and communications, information systems, computer vision and pattern recognition, and sociology and political science.

Their recent papers include:

  • Unified language model pre-training for natural language understanding and generation, 2024, arXiv (Cornell University)
  • UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training, 2020, arXiv (Cornell University)
  • Suphx: Mastering Mahjong with Deep Reinforcement Learning, 2020, arXiv (Cornell University)
  • AI for System - Infusing AI into Cloud Computing Systems, 2021, ACM SIGMETRICS Performance Evaluation Review

Frequent coauthors of Hsiao-Wuen Hon include:

  • Li Dong
  • Nan Yang
  • Wenhui Wang
  • Furu Wei
  • Xiaodong Liu

The main publication venues for their work are:

  • arXiv (Cornell University)
  • ACM SIGMETRICS Performance Evaluation Review

Their work covers several specific topics:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Software System Performance and Reliability
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Multimodal Machine Learning Applications
  • Speech Recognition and Synthesis

In 2007, Hsiao-Wuen Hon was recognized as an IEEE Fellow for contributions to speech recognition research and product development.

Best Publications

  • Spoken Language Processing: A Guide to Theory, Algorithm, and System Development

    Xuedong Huang;Alex Acero;Hsiao-Wuen Hon;Raj Reddy

  • Speaker-independent phone recognition using hidden Markov models

    K.-F. Lee;H.-W. Hon

  • Unified Language Model Pre-training for Natural Language Understanding and Generation

    Li Dong;Nan Yang;Wenhui Wang;Furu Wei

  • Spoken Language Processing

    Alex Acero;Xuedong Huang;Hsiao-Wuen Hon

  • An overview of the SPHINX speech recognition system

    K.-F. Lee;H.-W. Hon;R. Reddy

  • Adapting ranking SVM to document retrieval

    Yunbo Cao;Jun Xu;Tie-Yan Liu;Hang Li

  • The SPHINX-II Speech Recognition System: An Overview

    Xuedong Huang;Fileno Alleva;Hsiao Hon;Mei Hwang

  • Proofreading with text to speech feedback

    Hsiao-Wuen Hon;Dong Li;Xuedong Huang;Yun-Chen Ju

  • Text-to-speech using clustered context-dependent phoneme-based units

    Alejandro Acero;Hsiao-Wuen Hon;Xuedong D. Huang

  • What's in a name?: an unsupervised approach to link users across communities

    Jing Liu;Fan Zhang;Xinying Song;Young-In Song

  • UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

    Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

  • CMU robust vocabulary-independent speech recognition system

    H.-W. Hon;K.-F. Lee

  • Large-vocabulary speaker-independent continuous speech recognition using HMM

    K.-F. Lee;H.-W. Hon

  • Towards large vocabulary Mandarin Chinese speech recognition

    Hsiao-Wuen Hon;Baosheng Yuan;Yen-Lu Chow;S. Narayan

  • Whistler: a trainable text-to-speech system

    Xuedong Huang;A. Acero;J. Adcock;Hsiao-Wuen Hon

  • Identifying ambiguous queries in web search

    Ruihua Song;Zhenxiao Luo;Ji-Rong Wen;Yong Yu

  • 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

  • Allophone clustering for continuous speech recognition

    K.-F. Lee;S. Hayamizu;H.-W. Hon;C. Huang

  • UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

    Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

  • Suphx: Mastering Mahjong with Deep Reinforcement Learning

    Junjie Li;Sotetsu Koyamada;Qiwei Ye;Guoqing Liu

  • Pseudo-Masked Language Models for Unified Language Model Pre-Training

    Hangbo Bao;Li Dong;Furu Wei;Wenhui Wang

Frequent Co-Authors

Xuedong Huang
Xuedong Huang Microsoft (United States)
Kai-Fu Lee
Kai-Fu Lee Sinovation Ventures
Mei-Yuh Hwang
Mei-Yuh Hwang Microsoft (United States)
Ming Zhou
Ming Zhou Langboat Technology
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Kuansan Wang
Kuansan Wang Microsoft (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Li Deng
Li Deng Citadel
Li Dong
Li Dong Microsoft (United States)

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