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Jen-Tzung Chien

D-Index & Metrics

Computer Science

D-Index
33
Citations
4667
World Ranking
12678
National Ranking
115

Jen-Tzung Chien 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 Jen-Tzung Chien 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: 252 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Jen-Tzung Chien 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 Jen-Tzung Chien 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Jen-Tzung Chien is affiliated with National Yang Ming Chiao Tung University in Taiwan and has contributed extensively to the field of computer science. The primary areas of research include artificial intelligence, signal processing, computer vision and pattern recognition, analytical chemistry, and cardiology and cardiovascular medicine.

This researcher has a notable focus on speech and audio technologies, encompassing topics such as speech recognition and synthesis, speech and audio processing, topic modeling, music and audio processing, natural language processing techniques, speech and dialogue systems, and generative adversarial networks and image synthesis.

Frequent publication venues reflect a concentration in both specialized journals and broader conferences, including:

  • arXiv (Cornell University)
  • APSIPA Transactions on Signal and Information Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers authored or co-authored by Jen-Tzung Chien are:

  • "Variational Domain Adversarial Learning With Mutual Information Maximization for Speaker Verification" (2020), published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • "Automatic Classification of Myocardial Infarction Using Spline Representation of Single-Lead Derived Vectorcardiography" (2020), published in Sensors
  • "Continuous-Time Attention for Sequential Learning" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Bayesian asymmetric quantized neural networks" (2023), published in Pattern Recognition

Co-authors with frequent collaborations include Man-Wai Mak, Mahdin Rohmatillah, Yung-Jhe Yan, Chi-Cho Huang, and Chang-Ting Chu.

Jen-Tzung Chien's publication record also includes a book titled Machine Learning for Speaker Recognition, published by Cambridge University Press in 2020.

Best Publications

  • Discriminant waveletfaces and nearest feature classifiers for face recognition

    Jen-Tzung Chien;Chia-Chen Wu

  • Deep reinforcement learning for automated radiation adaptation in lung cancer.

    Huan Hsin Tseng;Yi Luo;Sunan Cui;Jen Tzung Chien;Jen Tzung Chien

  • Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances

    G. Saon;Jen-Tzung Chien

  • Bayesian Recurrent Neural Network for Language Modeling

    Jen-Tzung Chien;Yuan-Chu Ku

  • Adaptive Bayesian Latent Semantic Analysis

    Jen-Tzung Chien;Meng-Sung Wu

  • Introduction to the Special Section on Deep Learning for Speech and Language Processing

    Dong Yu;G. Hinton;N. Morgan;Jen-Tzung Chien

  • Tensor-Factorized Neural Networks

    Jen-Tzung Chien;Yi-Ting Bao

  • Bayesian Speech and Language Processing

    Shinji Watanabe;Jen-Tzung Chien

  • Dirichlet Class Language Models for Speech Recognition

    Jen-Tzung Chien;Chuang-Hua Chueh

  • A new independent component analysis for speech recognition and separation

    Jen-Tzung Chien;Bo-Cheng Chen

  • Latent Dirichlet learning for document summarization

    Ying-Lang Chang;Jen-Tzung Chien

  • Online hierarchical transformation of hidden Markov models for speech recognition

    Jen-Tzung Chien

  • Maximum Confidence Hidden Markov Modeling for Face Recognition

    Jen-Tzung Chien;Chin-Pin Liao

  • Mixture of PLDA for noise robust i-vector speaker verification

    Man-Wai Mak;Xiaomin Pang;Jen-Tzung Chien

  • Predictive hidden Markov model selection for speech recognition

    Jen-Tzung Chien;S. Furui

  • Machine Learning for Speaker Recognition

    Man Wai Mak;Jen-Tzung Chien

  • Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders

    Wei-wei Lin;Man-Wai Mak;Jen-Tzung Chien

  • Deep Unfolding for Topic Models

    Jen-Tzung Chien;Chao-Hsi Lee

  • Image-text dual neural network with decision strategy for small-sample image classification

    Fangyi Zhu;Zhanyu Ma;Xiaoxu Li;Xiaoxu Li;Guang Chen

  • Automatic speech recognition for acoustical analysis and assessment of cantonese pathological voice and speech

    Tan Lee;Yuanyuan Liu;Pei-Wen Huang;Jen-Tzung Chien

  • Variational domain adversarial learning for speaker verification

    Youzhi Tu;Man Wai Mak;Jen Tzung Chien

Frequent Co-Authors

Man-Wai Mak
Man-Wai Mak Hong Kong Polytechnic University
George Saon
George Saon IBM (United States)
Sadaoki Furui
Sadaoki Furui Toyota Institute of Technology
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Jing-Hao Xue
Jing-Hao Xue University College London
Zheng-Hua Tan
Zheng-Hua Tan Aalborg University
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Jean-Claude Junqua
Jean-Claude Junqua Panasonic (Japan)

External Links

Personal website of Jen-Tzung Chien

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