World's Best Scientists 2026 revealed!
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Yu Tsao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 47 6451 6262 53 52 308 9691

Yu Tsao publications per year

The chart shows the history of publications by Yu Tsao between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yu Tsao published across 25 years, from 2001 to 2025, averaging 23 papers a year. Output peaked at 71 publications in 2022. 129 of the 575 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 71. Peak 71 publications in 2022. 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 0 publications 2005: 3 publications 2006: 2 publications 2007: 3 publications 2008: 2 publications 2009: 5 publications 2010: 4 publications 2011: 5 publications 2012: 6 publications 2013: 14 publications 2014: 15 publications 2015: 17 publications 2016: 31 publications 2017: 37 publications 2018: 40 publications 2019: 46 publications 2020: 43 publications 2021: 41 publications 2022: 71 publications 2023: 59 publications 2024: 69 publications 2025: 60 publications
2001 2025

575 publications in total across all disciplines

View publications per year as a table
Yu Tsao: publications per year, 2001 to 2025
Year Publications
2001 1
2002 0
2003 1
2004 0
2005 3
2006 2
2007 3
2008 2
2009 5
2010 4
2011 5
2012 6
2013 14
2014 15
2015 17
2016 31
2017 37
2018 40
2019 46
2020 43
2021 41
2022 71
2023 59
2024 69
2025 60
Total 575
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Yu Tsao 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 Yu Tsao 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, 302–311 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: 308 publications — 75th percentile

75% 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
272–281 335
282–291 320
292–301 293
302–311 250 308
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

Yu Tsao 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 Yu Tsao 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, 46–47 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: 47 D-Index — 56th percentile

56% 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 47
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
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

Yu Tsao is affiliated with the Research Center for Information Technology Innovation at Academia Sinica in Taiwan. Their research primarily spans the field of Computer Science, with a focus on subfields such as Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Electrical and Electronic Engineering.

The major topics explored in Yu Tsao's work include:

  • Speech and Audio Processing
  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Hearing Loss and Rehabilitation
  • Advanced Adaptive Filtering Techniques
  • Indoor and Outdoor Localization Technologies
  • Voice and Speech Disorders

Yu Tsao has contributed extensively to several publication venues. The most frequent among these are:

  • arXiv (Cornell University)
  • Interspeech 2022
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Scientific Reports

Among the recent papers authored or co-authored by Yu Tsao are the following:

  • "ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech" (2020), published in Computer Speech & Language
  • "Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning" (2020), published in Scientific Reports
  • "Conditional Diffusion Probabilistic Model for Speech Enhancement" (2022), presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Forecasting Air Quality in Taiwan by Using Machine Learning" (2020), published in Scientific Reports
  • "Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features" (2022), published in IEEE/ACM Transactions on Audio Speech and Language Processing

Frequent collaborators in Yu Tsao's research include:

  • Hsin-Min Wang
  • Szu-Wei Fu
  • Ryandhimas E. Zezario
  • Xugang Lu
  • Kai-Chun Liu

Best Publications

  • Speech enhancement based on deep denoising autoencoder.

    Xugang Lu;Yu Tsao;Shigeki Matsuda;Chiori Hori

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

    Xin Wang;Junichi Yamagishi;Junichi Yamagishi;Massimiliano Todisco;Héctor Delgado

  • Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks

    Chin-Cheng Hsu;Hsin-Te Hwang;Yi-Chiao Wu;Yu Tsao

  • Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders

    Hsin-Tien Chiang;Yi-Yen Hsieh;Szu-Wei Fu;Kuo-Hsuan Hung

  • End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

    Szu-Wei Fu;Tao-Wei Wang;Yu Tsao;Xugang Lu

  • Voice conversion from non-parallel corpora using variational auto-encoder

    Chin-Cheng Hsu;Hsin-Te Hwang;Yi-Chiao Wu;Yu Tsao

  • Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach.

    Shih Hau Fang;Yu Tsao;Min Jing Hsiao;Ji Ying Chen

  • Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks

    Jen-Cheng Hou;Syu-Siang Wang;Ying-Hui Lai;Yu Tsao

  • Raw waveform-based speech enhancement by fully convolutional networks

    Szu-Wei Fu;Yu Tsao;Xugang Lu;Hisashi Kawai

  • MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement.

    Szu-Wei Fu;Chien-Feng Liao;Yu Tsao;Shou-De Lin

  • S1 and S2 Heart Sound Recognition Using Deep Neural Networks

    Tien-En Chen;Shih-I Yang;Li-Ting Ho;Kun-Hsi Tsai

  • A recommendation mechanism for contextualized mobile advertising

    Soe-Tsyr Yuan;Y.W. Tsao

  • SNR-Aware Convolutional Neural Network Modeling for Speech Enhancement.

    Szu-Wei Fu;Yu Tsao;Xugang Lu

  • MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

    Szu-Wei Fu;Cheng Yu;Tsun-An Hsieh;Peter Plantinga

  • MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion.

    Chen-Chou Lo;Szu-Wei Fu;Wen-Chin Huang;Xin Wang

  • Quality-Net: An End-to-End Non-intrusive Speech Quality Assessment Model Based on BLSTM.

    Szu-Wei Fu;Yu Tsao;Hsin-Te Hwang;Hsin-Min Wang

  • Complex spectrogram enhancement by convolutional neural network with multi-metrics learning

    Szu-Wei Fu;Ting-yao Hu;Yu Tsao;Xugang Lu

  • Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

    Yu-Heng Lai;Wei-Ning Chen;Te-Cheng Hsu;Che Lin

  • A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation

    Ying-Hui Lai;Fei Chen;Syu-Siang Wang;Xugang Lu

  • Learning Transportation Modes From Smartphone Sensors Based on Deep Neural Network

    Shih-Hau Fang;Yu-Xaing Fei;Zhezhuang Xu;Yu Tsao

Frequent Co-Authors

Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Tomoki Toda
Tomoki Toda Nagoya University
Hung-yi Lee
Hung-yi Lee National Taiwan University
Shao-Yi Chien
Shao-Yi Chien National Taiwan University
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Jinyu Li
Jinyu Li Microsoft (United States)
Sabato Marco Siniscalchi
Sabato Marco Siniscalchi Georgia Institute of Technology
Tei-Wei Kuo
Tei-Wei Kuo National Taiwan University

External Links

Personal website of Yu Tsao Google Scholar page

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Best Scientists Citing Yu Tsao

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 62

Chin-Hui Lee

Chin-Hui Lee

Georgia Institute of Technology

Publications: 53

DeLiang Wang

DeLiang Wang

Chinese University of Hong Kong, Shenzhen

Publications: 39

Jun Du

Jun Du

University of Science and Technology of China

Publications: 37

Junichi Yamagishi

Junichi Yamagishi

National Institute of Informatics

Publications: 36

Tomoki Toda

Tomoki Toda

Nagoya University

Publications: 30

Hung-yi Lee

Hung-yi Lee

National Taiwan University

Publications: 25

Hirokazu Kameoka

Hirokazu Kameoka

NTT (Japan)

Publications: 23

Nicholas Evans

Nicholas Evans

EURECOM

Publications: 23

Sabato Marco Siniscalchi

Sabato Marco Siniscalchi

Georgia Institute of Technology

Publications: 22

Björn Schuller

Björn Schuller

Imperial College London

Publications: 21

Massimiliano Todisco

Massimiliano Todisco

EURECOM

Publications: 20

Jinyu Li

Jinyu Li

Microsoft (United States)

Publications: 16

Eng Siong Chng

Eng Siong Chng

Nanyang Technological University

Publications: 14

Tomi Kinnunen

Tomi Kinnunen

University of Eastern Finland

Publications: 13

Wei-Ping Zhu

Wei-Ping Zhu

Concordia University

Publications: 12

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