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Jinyu Li

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 60 3223 3129 1565 1507 269 15242

Jinyu Li publications per year

The chart shows the history of publications by Jinyu Li between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jinyu Li published across 26 years, from 2000 to 2025, averaging 14.3 papers a year. Output peaked at 56 publications in 2021. 61 of the 371 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 56. Peak 56 publications in 2021. 2000: 1 publication 2001: 1 publication 2002: 0 publications 2003: 0 publications 2004: 3 publications 2005: 4 publications 2006: 5 publications 2007: 7 publications 2008: 7 publications 2009: 7 publications 2010: 5 publications 2011: 5 publications 2012: 6 publications 2013: 10 publications 2014: 13 publications 2015: 16 publications 2016: 11 publications 2017: 11 publications 2018: 15 publications 2019: 23 publications 2020: 27 publications 2021: 56 publications 2022: 48 publications 2023: 29 publications 2024: 35 publications 2025: 26 publications
2000 2025

371 publications in total across all disciplines

View publications per year as a table
Jinyu Li: publications per year, 2000 to 2025
Year Publications
2000 1
2001 1
2002 0
2003 0
2004 3
2005 4
2006 5
2007 7
2008 7
2009 7
2010 5
2011 5
2012 6
2013 10
2014 13
2015 16
2016 11
2017 11
2018 15
2019 23
2020 27
2021 56
2022 48
2023 29
2024 35
2025 26
Total 371
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Jinyu Li 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 Jinyu Li sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 262–271 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 269 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301 269
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Jinyu Li 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 Jinyu Li sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 60–61 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337 60
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Jinyu Li is affiliated with Microsoft in the United States and specializes in the field of computer science, with a strong focus on artificial intelligence and signal processing. Their research contributions span multiple subfields including artificial intelligence, signal processing, computer vision and pattern recognition, biomedical engineering, and experimental and cognitive psychology.

The major topics of Jinyu Li's work include speech recognition and synthesis, speech and audio processing, music and audio processing, natural language processing techniques, topic modeling, speech and dialogue systems, and phonetics and phonology research.

Jinyu Li has authored numerous papers in various reputable venues. Some recent publications are:

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing, 2022, IEEE Journal of Selected Topics in Signal Processing
  • Recent Advances in End-to-End Automatic Speech Recognition, 2022, APSIPA Transactions on Signal and Information Processing
  • Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers, 2023, arXiv (Cornell University)
  • SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview, 2020, IEEE Open Journal of Signal Processing

The scientist frequently publishes in venues such as arXiv (Cornell University), ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, Interspeech 2022, IEEE/ACM Transactions on Audio Speech and Language Processing, and IEEE Journal of Selected Topics in Signal Processing.

Jinyu Li often collaborates with other researchers including Shujie Liu, Naoyuki Kanda, Furu Wei, Long Zhou, and Yashesh Gaur, with multiple coauthored papers reflecting their collaborative work.

Best Publications

  • WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

    Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

  • 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

  • Recent Advances in End-to-End Automatic Speech Recognition.

    Jinyu Li

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

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

  • Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

    Unknown

  • Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks

    Dong Yu;Michael L. Seltzer;Jinyu Li;Jui-Ting Huang

  • Continuous Speech Separation: Dataset and Analysis

    Zhuo Chen;Takuya Yoshioka;Liang Lu;Tianyan Zhou

  • 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

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

    Jinyu Li;Rui Zhao;Hu Hu;Yifan Gong

  • Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset

    Xie Chen;Yu Wu;Zhenghao Wang;Shujie Liu

  • Recent progresses in deep learning based acoustic models

    Dong Yu;Jinyu Li

  • 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

  • Learning hidden unit contributions for unsupervised acoustic model adaptation

    Pawel Swietojanski;Jinyu Li;Steve Renals

  • 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

  • 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

Frequent Co-Authors

Yifan Gong
Yifan Gong Microsoft (United States)
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Li Deng
Li Deng Citadel
Dong Yu
Dong Yu Tencent (China)
Takuya Yoshioka
Takuya Yoshioka Microsoft (United States)
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Yu Wu
Yu Wu Microsoft Research Asia (China)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Naoyuki Kanda
Naoyuki Kanda Hitachi (Japan)
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn

External Links

Personal website of Jinyu Li Google Scholar page

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Best Scientists Citing Jinyu Li

Dong Yu

Dong Yu

Tencent (China)

Publications: 97

Shinji Watanabe

Shinji Watanabe

Carnegie Mellon University

Publications: 54

Yu Tsao

Yu Tsao

Research Center for Information Technology Innovation, Academia Sinica

Publications: 53

Chin-Hui Lee

Chin-Hui Lee

Georgia Institute of Technology

Publications: 48

Michael L. Seltzer

Michael L. Seltzer

Facebook (United States)

Publications: 45

Li Deng

Li Deng

Citadel

Publications: 45

Yanmin Qian

Yanmin Qian

Shanghai Jiao Tong University

Publications: 44

Steve Renals

Steve Renals

University of Edinburgh

Publications: 43

Dong Wang

Dong Wang

Peking University

Publications: 41

Tara N. Sainath

Tara N. Sainath

Google (United States)

Publications: 38

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 38

Sabato Marco Siniscalchi

Sabato Marco Siniscalchi

Georgia Institute of Technology

Publications: 37

Mark J. F. Gales

Mark J. F. Gales

University of Cambridge

Publications: 37

Kai Yu

Kai Yu

Shanghai Jiao Tong University

Publications: 32

Takuya Yoshioka

Takuya Yoshioka

Microsoft (United States)

Publications: 32

Hermann Ney

Hermann Ney

RWTH Aachen University

Publications: 30

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