World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7370
World Ranking
9675
National Ranking
84

Lin-Shan Lee 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 Lin-Shan Lee 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: 388 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Lin-Shan Lee 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 Lin-Shan Lee 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Lin-Shan Lee is affiliated with National Taiwan University in Taiwan. Their research primarily focuses on the field of Computer Science with significant contributions to Artificial Intelligence, Signal Processing, and Control and Systems Engineering.

Their published work spans multiple topics including:

  • Speech Recognition and Synthesis
  • Topic Modeling
  • Speech and Dialogue Systems
  • Music and Audio Processing
  • Speech and Audio Processing
  • Adversarial Robustness in Machine Learning
  • Hate Speech and Cyberbullying Detection

Lin-Shan Lee has authored papers in prominent venues such as arXiv (Cornell University), Interspeech 2022, Impact, and the 2021 IEEE Global Communications Conference (GLOBECOM).

Selected recent publications include:

  • DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering, 2022, Interspeech 2022
  • Defending Your Voice: Adversarial Attack on Voice Conversion, 2020, arXiv (Cornell University)
  • End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Pseudo Whisper Pre-training, 2020, arXiv (Cornell University)
  • DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering, 2022, arXiv (Cornell University)
  • FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention, 2020, arXiv (Cornell University)

Frequent collaborators include Hung-yi Lee, Guan-Ting Lin, Yung-Sung Chuang, Shang-Wen Li, and Abdelrahman Mohamed, with multiple joint publications reflecting ongoing research partnerships.

Best Publications

  • Robust entropy-based endpoint detection for speech recognition in noisy environments.

    Jia-Lin Shen;Jeih-Weih Hung;Lin-Shan Lee

  • A new framework for recognition of Mandarin syllables with tones using sub-syllabic units

    C.-H. Lin;L.-S. Lee;P.-Y. Ting

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

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

  • Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder.

    Yu-An Chung;Chao-Chung Wu;Chia-Hao Shen;Hung-Yi Lee

  • A real-time Mandarin dictation machine for Chinese language with unlimited texts and very large vocabulary

    L.S. Lee;C.Y. Tseng;H.Y. Gu;F.H. Liu

  • Spoken document understanding and organization

    Lin-shan Lee;B. Chen

  • 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

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

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

  • Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations

    Ju-Chieh Chou;Cheng-chieh Yeh;Hung-yi Lee;Lin-Shan Lee

  • 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

  • The synthesis rules in a Chinese text-to-speech system

    Lin-Shan Lee;Chiu-Yu Tseng;Ming Ouh-Young

  • 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

  • Voice dictation of Mandarin Chinese

    Lin-Shan Lee

  • Spoken content retrieval: beyond cascading speech recognition with text retrieval

    Lin-shan Lee;James Glass;Hung-yi Lee;Chun-an Chan

  • SpeechBERT: An audio-and-text jointly learned language model for end-to-end spoken question answering

    Yung-Sung Chuang;Chi-Liang Liu;Hung-yi Lee;Lin-shan Lee

  • System and method of recognizing continuous mandarin speech utilizing chinese hidden markou models

    Lin-Shan Lee

  • Golden Mandarin (I)-A real-time Mandarin speech dictation machine for Chinese language with very large vocabulary

    L.S. Lee;C.Y. Tseng;H.Y. Gu;F.H. Liu

  • Isolated-utterance speech recognition using hidden Markov models with bounded state durations

    Hung-Yan Gu;Chiu-Yu Tseng;Lin-Shan Lee

  • System and method of intelligent Mandarin speech input for Chinese computers

    Lin-Shan Lee

Frequent Co-Authors

Hung-yi Lee
Hung-yi Lee National Taiwan University
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Yun-Nung Chen
Yun-Nung Chen National Taiwan University
Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica
Frank Seide
Frank Seide Microsoft (United States)
Winston H. Hsu
Winston H. Hsu National Taiwan University
Frank K. Soong
Frank K. Soong Microsoft Research Asia (China)
Ja-Ling Wu
Ja-Ling Wu National Taiwan University
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Sinan Gezici
Sinan Gezici Bilkent University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to various related fields and career options. If you’re considering a flexible learning path, online programs are increasingly popular and recognized by employers.

For those interested in engineering, pursuing an online degree in mechanical engineering offers foundational knowledge in design and manufacturing with opportunities in industries like automotive, aerospace, and robotics.

If you are fascinated by the fundamentals of the universe, an online theoretical physics degree develops critical thinking and analytical skills, preparing graduates for careers in research, education, or technology development.

With technology driving demand for experts in data, data science degrees help build proficiency in analytics, machine learning, and big data, leading to roles in finance, healthcare, and tech.

For those seeking to work with power systems, electronics, or communications, the best online electrical engineering programs USA provide a solid foundation for innovation in fields like renewable energy and telecommunications.

Best Scientists Citing Lin-Shan Lee

Trending Scientists

Recently Published Articles