World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11507
World Ranking
4570
National Ranking
2137

Yifan Gong 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 Yifan Gong 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: 277 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Yifan Gong 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 Yifan Gong 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: 54 D-Index — 69th percentile

69% 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

  • 2021 - IEEE Fellow For leadership in creating cloud speech recognition services in industry

Overview

Yifan Gong is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and signal processing. Their scholarly output includes a significant number of publications oriented around speech recognition, audio processing, and advanced neural network applications.

Their research topics include:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Advanced Neural Network Applications
  • Natural Language Processing Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Yifan Gong has published prominently in a range of venues, with the majority of work appearing in arXiv (Cornell University). Other publication locations include the IEEE Transactions on Mobile Computing, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), the IEEE Signal Processing Letters, and the 2022 IEEE Spoken Language Technology Workshop (SLT).

Frequent co-authors in their collaborations are:

  • Yanzhi Wang
  • Zheng Zhan
  • Jinyu Li
  • Pu Zhao
  • Wei Niu

Notable recent papers by Yifan Gong include:

  • "Radio Frequency Fingerprinting on the Edge," 2021, IEEE Transactions on Mobile Computing
  • "Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge," 2021, arXiv (Cornell University)
  • "Streaming End-to-End Multi-Talker Speech Recognition," 2021, IEEE Signal Processing Letters
  • "On Addressing Practical Challenges for RNN-Transducer," 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

Yifan Gong has been recognized as an IEEE Fellow in 2021, a distinction awarded for leadership in developing cloud speech recognition services within the industry.

Best Publications

  • Recent advances in deep learning for speech research at Microsoft

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

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

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

  • An overview of noise-robust automatic speech recognition

    Jinyu Li;Li Deng;Yifan Gong;Reinhold Haeb-Umbach

  • Restructuring of Deep Neural Network Acoustic Models with Singular Value Decomposition

    Jian Xue;Jinyu Li;Yifan Gong

  • Learning small-size DNN with output-distribution-based criteria.

    Jinyu Li;Rui Zhao;Jui-Ting Huang;Yifan Gong

  • Adaptation of context-dependent deep neural networks for automatic speech recognition

    Kaisheng Yao;Dong Yu;Frank Seide;Hang Su

  • End-to-End attention based text-dependent speaker verification

    Shi-Xiong Zhang;Zhuo Chen;Yong Zhao;Jinyu Li

  • Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network

    Jian Xue;Jinyu Li;Dong Yu;Mike Seltzer

  • Identifying language origin of words

    Min Chu;Yi Ning Chen;Shiun-Zu Kuo;Xiaodong He

  • Improving RNN Transducer Modeling for End-to-End Speech Recognition

    Jinyu Li;Rui Zhao;Hu Hu;Yifan Gong

  • Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM

    Jinyu Li;Dong Yu;Jui-Ting Huang;Yifan Gong

  • An analysis of convolutional neural networks for speech recognition

    Jui-Ting Huang;Jinyu Li;Yifan Gong

  • High-performance hmm adaptation with joint compensation of additive and convolutive distortions via Vector Taylor Series

    Jinyu Li;Li Deng;Dong Yu;Yifan Gong

  • A study on multilingual acoustic modeling for large vocabulary ASR

    Hui Lin;Li Deng;Dong Yu;Yi-fan Gong

  • Restructuring deep neural network acoustic models

    Jian Xue;Emilian Stoimenov;Jinyu Li;Yifan Gong

  • Multi-Channel Overlapped Speech Recognition with Location Guided Speech Extraction Network

    Zhuo Chen;Xiong Xiao;Takuya Yoshioka;Hakan Erdogan

  • Shared hidden layer combination for speech recognition systems

    Jinyu Li;Jian Xue;Yifan Gong

  • Speaker-Invariant Training Via Adversarial Learning

    Zhong Meng;Jinyu Li;Zhuo Chen;Yang Zhao

  • Large-Scale Domain Adaptation via Teacher-Student Learning.

    Jinyu Li;Michael L. Seltzer;Xi Wang;Rui Zhao

  • Fundamentals of speech recognition

    Jinyu Li;Li Deng;Reinhold Haeb-Umbach;Yifan Gong

  • Robust Automatic Speech Recognition

    Jinyu Li;Li Deng;Reinhold Haeb-Umbach;Y. Gong

Frequent Co-Authors

Jinyu Li
Jinyu Li Microsoft (United States)
Li Deng
Li Deng Citadel
Dong Yu
Dong Yu Tencent (China)
Yan Huang
Yan Huang University of North Texas
Alejandro Acero
Alejandro Acero Apple (United States)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Naoyuki Kanda
Naoyuki Kanda Hitachi (Japan)
Jasha Droppo
Jasha Droppo Amazon (United States)

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