World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
9057
World Ranking
5660
National Ranking
747

Kai 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 Kai 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: 317 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Kai 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 Kai 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Kai Yu is affiliated with Shanghai Jiao Tong University in China and specializes in the field of Computer Science, with a broad focus on Artificial Intelligence. Their research portfolio includes contributions spanning multiple subfields such as Signal Processing, Computer Vision and Pattern Recognition, Information Systems, and Experimental and Cognitive Psychology.

The scientist's work addresses topics primarily related to Speech Recognition and Synthesis, Natural Language Processing Techniques, and Topic Modeling. Additional areas of focus include Music and Audio Processing, Speech and Audio Processing, Speech and Dialogue Systems, and Advanced Text Analysis Techniques.

Kai Yu has published extensively across significant academic venues. Frequent publication outlets 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
  • Applied Sciences

They have collaborated repeatedly with a core group of researchers, including Su Zhu, Chenpeng Du, Mengyue Wu, Ruisheng Cao, and Yiwei Guo.

Recent publications highlight the scientist's engagement in advancing artificial intelligence and audio processing methodologies. Notable papers include:

  • Towards a new generation of artificial intelligence in China, 2020, Nature Machine Intelligence
  • Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Data Augmentation Using Deep Generative Models for Embedding Based Speaker Recognition, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Towards Duration Robust Weakly Supervised Sound Event Detection, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • WebSRC: A Dataset for Web-Based Structural Reading Comprehension, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Best Publications

  • The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management

    Steve Young;Milica Gašić;Simon Keizer;François Mairesse

  • Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition

    Yanmin Qian;Mengxiao Bi;Tian Tan;Kai Yu

  • Towards a new generation of artificial intelligence in China

    Fei Wu;Cewu Lu;Mingjie Zhu;Hao Chen

  • Deep feature for text-dependent speaker verification

    Yuan Liu;Yanmin Qian;Nanxin Chen;Tianfan Fu

  • Kernel Nearest-Neighbor Algorithm

    Kai Yu;Liang Ji;Xuegong Zhang

  • Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning

    Francois Mairesse;Milica Gasic;Filip Jurcicek;Simon Keizer

  • Continuous F0 Modeling for HMM Based Statistical Parametric Speech Synthesis

    Kai Yu;Steve Young

  • Towards Universal Dialogue State Tracking

    Unknown

  • Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

    Xu Xiang;Shuai Wang;Houjun Huang;Yanmin Qian

  • Reshaping deep neural network for fast decoding by node-pruning

    Tianxing He;Yuchen Fan;Yanmin Qian;Tian Tan

  • Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks

    Lu Chen;Boer Lv;Chi Wang;Su Zhu

  • LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

    Ruisheng Cao;Lu Chen;Zhi Chen;Yanbin Zhao

  • Discriminative spoken language understanding using word confusion networks

    Matthew Henderson;Milica Gasic;Blaise Thomson;Pirros Tsiakoulis

  • Multi-task learning for text-dependent speaker verification.

    Nanxin Chen;Yanmin Qian;Kai Yu

  • Spoken language understanding from unaligned data using discriminative classification models

    F. Mairesse;M. Gasic;F. Jurcicek;S. Keizer

  • Real user evaluation of spoken dialogue systems using Amazon Mechanical Turk

    Filip Jurcícek;Simon Keizer;Milica Gasic;François Mairesse

  • Angular Softmax for Short-Duration Text-independent Speaker Verification.

    Zili Huang;Shuai Wang;Kai Yu

  • Gaussian Processes for Fast Policy Optimisation of POMDP-based Dialogue Managers

    Milica Gasic;Filip Jurcicek;Simon Keizer;Francois Mairesse

  • Robust deep feature for spoofing detection - the SJTU system for ASVspoof 2015 challenge.

    Nanxin Chen;Yanmin Qian;Heinrich Dinkel;Bo Chen

  • Deep features for automatic spoofing detection

    Yanmin Qian;Nanxin Chen;Kai Yu

  • On-line policy optimisation of spoken dialogue systems via live interaction with human subjects

    Milica Gasic;Filip Jurcicek;Blaise Thomson;Kai Yu

  • Training LVCSR systems on thousands of hours of data

    G. Evermann;H.Y. Chan;M.J.F. Gales;B. Jia

Frequent Co-Authors

Yanmin Qian
Yanmin Qian Shanghai Jiao Tong University
Steve Young
Steve Young University of Cambridge
Milica Gasic
Milica Gasic Heinrich Heine University Düsseldorf
Mark J. F. Gales
Mark J. F. Gales University of Cambridge
Philip C. Woodland
Philip C. Woodland University of Cambridge
Oliver Lemon
Oliver Lemon Heriot-Watt University
Heiga Zen
Heiga Zen Google (United States)
Jasha Droppo
Jasha Droppo Amazon (United States)
Lukas Burget
Lukas Burget Brno University of Technology
Jason D. Williams
Jason D. Williams Apple (United States)

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