World's Best Scientists 2026 revealed!
Hsin-Min Wang

Hsin-Min Wang

D-Index & Metrics

Computer Science

D-Index
40
Citations
7352
World Ranking
9251
National Ranking
80

Hsin-Min Wang 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 Hsin-Min Wang 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: 350 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Hsin-Min Wang 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 Hsin-Min Wang 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Hsin-Min Wang is affiliated with Academia Sinica in Taiwan and has contributed extensively to the fields of computer science, with a particular focus on speech and audio processing. Their research spans multiple subfields including signal processing, artificial intelligence, computer vision and pattern recognition, cognitive neuroscience, and computational mechanics.

The scientist's work predominantly addresses topics such as speech and audio processing, speech recognition and synthesis, music and audio processing, hearing loss and rehabilitation, advanced adaptive filtering techniques, natural language processing techniques, and digital media forensic detection.

Hsin-Min Wang has published numerous papers in various venues. Some recent publications include:

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech, 2020, Computer Speech & Language
  • Deep Learning-Based Non-Intrusive Multi-Objective Speech Assessment Model With Cross-Domain Features, 2022, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Multichannel Speech Enhancement by Raw Waveform-Mapping Using Fully Convolutional Networks, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Speech Enhancement Based on Denoising Autoencoder With Multi-Branched Encoders, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Improving the Intelligibility of Speech for Simulated Electric and Acoustic Stimulation Using Fully Convolutional Neural Networks, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering

Frequent coauthors in their research include Yu Tsao, Ryandhimas E. Zezario, Hung-Shin Lee, Tomoki Toda, and Chiou-Shann Fuh.

Hsin-Min Wang regularly publishes in several key venues, notably:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Interspeech 2022
  • 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  • APSIPA Transactions on Signal and Information Processing

The scientist's work contributes heavily to advancing knowledge in speech and audio processing and related technological applications, particularly through employing techniques in deep learning and convolutional neural networks. These efforts include developing databases, assessment models, and enhancement methods that address varied aspects of speech synthesis, recognition, and intelligibility improvements.

Best Publications

  • 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

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

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

  • A DISTRIBUTED ARCHITECTURE FOR COOPERATIVE SPOKEN DIALOGUE AGENTS WITH COHERENT DIALOGUE STATE AND HISTORY

    Bor-shen Lin;Hsin-min Wang;Lin-Shan Lee

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

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

  • Fluent speech prosody: Framework and modeling

    Chiu-yu Tseng;Shao-huang Pin;Yehlin Lee;Hsin-min Wang

  • 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

  • An initial study on large-vocabulary continuous Mandarin speech recognition with limited training data based on sub-syllabic models

    Hsin-min Wang;Renyuan Lyu;Jia-lin Shen;Lin-shan Lee

  • Golden Mandarin(II)-an intelligent Mandarin dictation machine for Chinese character input with adaptation/learning functions

    Lin-Shan Lee;Keh-Jiann Chen;Chiu-Yu Tseng;Renyuan Lyu

  • MATBN: A Mandarin Chinese Broadcast News Corpus

    Hsin-Min Wang;Berlin Chen;Jen-Wei Kuo;Shih-Sian Cheng

  • Fast speaker adaptation using eigenspace-based maximum likelihood linear regression.

    Kuan-Ting Chen;Wen-Wei Liau;Hsin-Min Wang;Lin-Shan Lee

  • Automatic singer recognition of popular music recordings via estimation and modeling of solo vocal signals

    Wei-Ho Tsai;Hsin-Min Wang

  • Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data

    Hsin-Min Wang;Tai-Hsuan Ho;Rung-Chiung Yang;Jia-Lin Shen

  • Golden Mandarin (II)-an improved single-chip real-time Mandarin dictation machine for Chinese language with very large vocabulary

    L.-s. Lee;C.-y. Tseng;K.-J. Chen;I.-J. Hung

  • WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-End Speech Enhancement

    Tsun-An Hsieh;Hsin-Min Wang;Xugang Lu;Yu Tsao

  • Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval

    Hung-Yi Lo;Ju-Chiang Wang;Hsin-Min Wang;Shou-De Lin

  • Mandarin–English Information (MEI): investigating translingual speech retrieval

    Helen M. Meng;Berlin Chen;Sanjeev Khudanpur;Gina Anne Levow

  • Blind Clustering of Popular Music Recordings Based on Singer Voice Characteristics

    Wei-Ho Tsai;Dwight Rodgers;Hsin-Min Wang

  • Discriminating capabilities of syllable-based features and approaches of utilizing them for voice retrieval of speech information in Mandarin Chinese

    Berlin Chen;Hsin-min Wang;Lin-shan Lee

  • Query-By-Example Technique for Retrieving Cover Versions of Popular Songs with Similar Melodies.

    Wei-Ho Tsai;Hung-Ming Yu;Hsin-Min Wang

Frequent Co-Authors

Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica
Lin-Shan Lee
Lin-Shan Lee National Taiwan University
Wen-Lian Hsu
Wen-Lian Hsu Academia Sinica
Tomoki Toda
Tomoki Toda Nagoya University
Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University
Hsin-Hsi Chen
Hsin-Hsi Chen National Taiwan University
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Chung-Hsien Wu
Chung-Hsien Wu National Cheng Kung University
Helen Meng
Helen Meng Chinese University of Hong Kong
Hong-Yuan Mark Liao
Hong-Yuan Mark Liao Academia Sinica

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