World's Best Scientists 2026 revealed!
Jyh-Shing Roger Jang

Jyh-Shing Roger Jang

D-Index & Metrics

Computer Science

D-Index
33
Citations
54265
World Ranking
12328
National Ranking
111

Jyh-Shing Roger Jang 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 Jyh-Shing Roger Jang 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Jyh-Shing Roger Jang 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 Jyh-Shing Roger Jang 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

Jyh-Shing Roger Jang is affiliated with National Taiwan University in Taiwan and has contributed extensively to the intersection of computer science and medicine. Their research portfolio spans several core fields of study, including Computer Science and Medicine, with a strong emphasis on Artificial Intelligence and Signal Processing as key subfields. They also engage in work related to Computer Vision and Pattern Recognition, Physiology, and Neurology.

Their publications reveal a focus on topics such as Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing, and Music Technology and Sound Studies. Additionally, they address Topic Modeling, Natural Language Processing Techniques, and Voice and Speech Disorders.

Among their recent published papers are:

  • Classifications of Neurodegenerative Disorders Using a Multiplex Blood Biomarkers-Based Machine Learning Model, 2020, International Journal of Molecular Sciences
  • An integrated biometric voice and facial features for early detection of Parkinson's disease, 2022, npj Parkinson s Disease
  • Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration, 2021, Journal of Digital Imaging
  • Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia, 2022, BMC Medical Imaging
  • Machine Learning-Based Classification of Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer's Dementia Using Neuroimage and Plasma Biomarkers, 2022, ACS Chemical Neuroscience

Frequent co-authors in Jyh-Shing Roger Jang's work include Shu-I Chiu, Hung-yi Lee, Chung-Che Wang, Haibin Wu, and Chin-Hsien Lin. Collaboration with these researchers occurs regularly, reflecting ongoing partnerships.

Publication venues prominent in their career include arXiv (Cornell University), IEEE Access, Zenodo (CERN European Organization for Nuclear Research), npj Parkinson s Disease, and Scientific Reports. The distribution of publications indicates a significant presence in preprint repositories and open-access journals focused on multidisciplinary scientific research.

Best Publications

  • ANFIS: adaptive-network-based fuzzy inference system

    J.-S.R. Jang

  • Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]

    J.S.R. Jang;C.T. Sun;E. Mizutani

  • Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence

    Jyh-Shing Roger Jang;Chuen-Tsai Sun

  • Neuro-fuzzy modeling and control

    J.-S.R. Jang;Chuen-Tsai Sun

  • Functional equivalence between radial basis function networks and fuzzy inference systems

    J.-S.R. Jang;C.-T. Sun

  • Self-learning fuzzy controllers based on temporal backpropagation

    J.-S.R. Jang

  • Fuzzy modeling using generalized neural networks and Kalman filter algorithm

    Jyh-Shing R. Jang

  • Input selection for ANFIS learning

    J.-S.R. Jang

  • Wafer Map Failure Pattern Recognition and Similarity Ranking for Large-Scale Data Sets

    Ming-Ju Wu;Jyh-Shing R. Jang;Jui-Long Chen

  • On the Improvement of Singing Voice Separation for Monaural Recordings Using the MIR-1K Dataset

    Chao-Ling Hsu;J.-S.R. Jang

  • Structure determination in fuzzy modeling: a fuzzy CART approach

    J.-S.R. Jang

  • Vocal activity informed singing voice separation with the iKala dataset

    Tak-Shing Chan;Tzu-Chun Yeh;Zhe-Cheng Fan;Hung-Wei Chen

  • A neuro-fuzzy classifier and its applications

    Unknown

  • Hierarchical filtering method for content-based music retrieval via acoustic input

    Jyh-Shing Roger Jang;Hong-Ru Lee

  • Fuzzy controller design without domain experts

    J.-S.R. Jang

  • Predicting chaotic time series with fuzzy if-then rules

    J.-S.R. Jang;C.-T. Sun

  • Levenberg-Marquardt method for ANFIS learning

    Jyh-Shing Roger Jang;E. Mizutani

  • A Query-by-Singing System based on Dynamic Programming

    Jyh-Shing Roger Jang;Ming-Yang Gao

  • A General Framework of Progressive Filtering and Its Application to Query by Singing/Humming

    J.-S.R. Jang;Hong-Ru Lee

  • Coactive neural fuzzy modeling

    E. Mizutani;J.-S.R. Jang

  • A Tandem Algorithm for Singing Pitch Extraction and Voice Separation From Music Accompaniment

    Chao-Ling Hsu;DeLiang Wang;Jyh-Shing Roger Jang;Ke Hu

Frequent Co-Authors

Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University
Costas S. Iliopoulos
Costas S. Iliopoulos King's College London
Ming-Jang Chiu
Ming-Jang Chiu National Taiwan University
Hideyuki Takagi
Hideyuki Takagi Kyushu University
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
DeLiang Wang
DeLiang Wang Chinese University of Hong Kong, Shenzhen
Ja-Ling Wu
Ja-Ling Wu National Taiwan University
Nobutaka Ono
Nobutaka Ono Tokyo Metropolitan University

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