World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
57707
World Ranking
656
National Ranking
94

Dong Yu 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 Dong Yu 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: 378 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Dong Yu 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 Dong Yu 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: 88 D-Index — 95th percentile

95% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2018 - IEEE Fellow For contributions to context-dependent automatic speech recognition
  • 2017 - ACM Distinguished Member

Overview

Dong Yu is affiliated with Tencent (China), contributing significantly to the field of computer science with a specialized focus on artificial intelligence and signal processing. Their work bridges multiple subfields including computer vision and pattern recognition, computational mechanics, and information systems.

Their research primarily centers on speech and audio processing, with emphases on speech recognition and synthesis, music and audio processing, as well as natural language processing techniques. Additionally, their investigations extend into topic modeling, speech and dialogue systems, and multimodal machine learning applications.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Interspeech 2022

Among their recent publications are:

  • "Diffsound: Discrete Diffusion Model for Text-to-Sound Generation" (2023) published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Multi-Modal Multi-Channel Target Speech Separation" (2020) published in IEEE Journal of Selected Topics in Signal Processing
  • "Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition" (2022) published in Computer Speech & Language
  • "Neural Target Speech Extraction: An overview" (2023) published in IEEE Signal Processing Magazine
  • "FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis" (2022) published in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Dong Yu has collaborated extensively with several researchers, including:

  • Dan Su
  • Meng Yu
  • Chao Weng
  • Linfeng Song
  • Shi-Xiong Zhang

Their contributions have been recognized within the field, notably with awards such as the IEEE Fellow designation in 2018 for work on context-dependent automatic speech recognition and the ACM Distinguished Member honor received in 2017.

Best Publications

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

    G. Hinton;Li Deng;Dong Yu;G. E. Dahl

  • Deep Learning: Methods and Applications

    Li Deng;Dong Yu

  • Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

    G. E. Dahl;Dong Yu;Li Deng;A. Acero

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition

    Geoffrey Hinton;Li Deng;Dong Yu;George Dahl

  • Convolutional neural networks for speech recognition

    Ossama Abdel-Hamid;Abdel-Rahman Mohamed;Hui Jiang;Li Deng

  • Conversational Speech Transcription Using Context-Dependent Deep Neural Networks.

    Frank Seide;Gang Li;Dong Yu

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs.

    Frank Seide;Hao Fu;Jasha Droppo;Gang Li

  • Speech emotion recognition using deep neural network and extreme learning machine.

    Kun Han;Dong Yu;Ivan Tashev

  • Permutation invariant training of deep models for speaker-independent multi-talker speech separation

    Dong Yu;Morten Kolbaek;Zheng-Hua Tan;Jesper Jensen

  • Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbaek;Dong Yu;Zheng-Hua Tan;Jesper Jensen

  • An investigation of deep neural networks for noise robust speech recognition

    Michael L. Seltzer;Dong Yu;Yongqiang Wang

  • Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription

    Frank Seide;Gang Li;Xie Chen;Dong Yu

  • Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

    Jui-Ting Huang;Jinyu Li;Dong Yu;Li Deng

  • Using recurrent neural networks for slot filling in spoken language understanding

    Grégoire Mesnil;Yann Dauphin;Kaisheng Yao;Yoshua Bengio

  • Achieving Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP]

    Dong Yu;Li Deng

  • Large-scale malware classification using random projections and neural networks

    George E. Dahl;Jack W. Stokes;Li Deng;Dong Yu

  • KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition

    Dong Yu;Kaisheng Yao;Hang Su;Gang Li

  • Automatic Speech Recognition: A Deep Learning Approach

    Dong Yu;Li Deng

  • Conversational speech transcription using context-dependent deep neural networks

    Dong Yu;Frank Seide;Gang Li

  • The shared views of four research groups )

    Geoffrey Hinton;Li Deng;Dong Yu;George E. Dahl

  • Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbæk;Dong Yu;Zheng-Hua Tan;Jesper Jensen

Frequent Co-Authors

Li Deng
Li Deng Citadel
Yifan Gong
Yifan Gong Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Frank Seide
Frank Seide Microsoft (United States)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Jinyu Li
Jinyu Li Microsoft (United States)
Jasha Droppo
Jasha Droppo Amazon (United States)
Yanmin Qian
Yanmin Qian Shanghai Jiao Tong University
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Geoffrey Zweig
Geoffrey Zweig Facebook (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in related fields can broaden your career options after studying Computer Science in the USA. Many professionals are now opting for specialized online master’s programs to enhance their skills and marketability. For example, data-driven roles are increasingly in demand, making the best data science masters a popular choice for graduates seeking to excel in analytics, machine learning, or big data.

If you’re interested in management within technical or engineering fields, the best 2 year construction management degree online can open doors to leadership roles in construction and project management industries. Similarly, advancing your business acumen through online mba programs is beneficial if you’re aiming for positions in tech management, consulting, or entrepreneurship.

For those who want to upgrade their qualifications quickly, 1 year masters programs provide an accelerated pathway to advanced credentials, letting you enter the workforce or transition careers in less time. Carefully researching your options can help you pick degrees that align with your career goals and personal interests.

Best Scientists Citing Dong Yu

Trending Scientists

Recently Published Articles