World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
36
Citations
9539
World Ranking
784
National Ranking
15

Computer Science

D-Index
40
Citations
11028
World Ranking
9082
National Ranking
115

Shu Lih Oh 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 Shu Lih Oh 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: 61 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Shu Lih Oh 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 Shu Lih Oh 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.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Shu Lih Oh is affiliated with Ngee Ann Polytechnic in Singapore. Their research intersects medicine and neuroscience, with a strong focus on applied and clinical aspects reflected across numerous publications.

The primary fields of study for this scientist are:

  • Medicine
  • Neuroscience

Notable subfields include:

  • Cognitive Neuroscience
  • Cardiology and Cardiovascular Medicine
  • Psychiatry and Mental health
  • Pulmonary and Respiratory Medicine
  • Biomedical Engineering

The main topics in their body of work cover:

  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Phonocardiography and Auscultation Techniques
  • Autism Spectrum Disorder Research
  • Attention Deficit Hyperactivity Disorder
  • Neuroscience and Neural Engineering
  • Non-Invasive Vital Sign Monitoring

Frequent coauthors collaborating with Shu Lih Oh include:

  • U. Rajendra Acharya
  • Jahmunah Vicnesh
  • Edward J. Ciaccio
  • Prabal Datta Barua
  • Ru-San Tan

Common publication venues reflect the scientist's focus on biomedical and computational research:

  • Computer Methods and Programs in Biomedicine
  • Computers in Biology and Medicine
  • International Journal of Environmental Research and Public Health
  • Neural Computing and Applications
  • Applied Sciences

Recent significant papers include:

  • Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders-A Review, 2022, International Journal of Environmental Research and Public Health
  • Classification of heart sound signals using a novel deep WaveNet model, 2020, Computer Methods and Programs in Biomedicine
  • Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals, 2022, Computers in Biology and Medicine
  • Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals, 2021, Computer Methods and Programs in Biomedicine
  • Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010-2020), 2020, Applied Sciences

Best Publications

  • Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals.

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Shu Lih Oh;Yuki Hagiwara;Jen Hong Tan

  • A deep convolutional neural network model to classify heartbeats

    U. Rajendra Acharya;Shu Lih Oh;Yuki Hagiwara;Jen Hong Tan

  • Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Hamido Fujita;Shu Lih Oh;Yuki Hagiwara

  • Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats

    Shu Lih Oh;Eddie Yin Kwee Ng;Ru San Tan;U. Rajendra Acharya

  • Automated EEG-based screening of depression using deep convolutional neural network.

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Shu Lih Oh;Yuki Hagiwara;Jen Hong Tan

  • A deep learning approach for Parkinson’s disease diagnosis from EEG signals

    Shu Lih Oh;Yuki Hagiwara;U. Raghavendra;Rajamanickam Yuvaraj

  • Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.

    Jen Hong Tan;Yuki Hagiwara;Winnie Pang;Ivy Lim

  • Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals

    U. Rajendra Acharya;Hamido Fujita;Shu Lih Oh;Yuki Hagiwara

  • Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals

    Shu Lih Oh;Jahmunah Vicnesh;Edward J Ciaccio;Rajamanickam Yuvaraj

  • Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Hamido Fujita;Shu Lih Oh;U. Raghavendra

  • Automated detection and localization of myocardial infarction using electrocardiogram

    U. Rajendra Acharya;Hamido Fujita;Vidya K. Sudarshan;Shu Lih Oh

  • Characterization of focal EEG signals: A review

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Yuki Hagiwara;Sunny Nitin Deshpande;S. Suren

  • Automated detection of schizophrenia using nonlinear signal processing methods.

    V. Jahmunah;Shu Lih Oh;V. Rajinikanth;Edward J. Ciaccio

  • Comprehensive electrocardiographic diagnosis based on deep learning.

    Oh Shu Lih;V Jahmunah;Tan Ru San;Edward J Ciaccio

  • Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types.

    Shu Lih Oh;Eddie Yin Kwee Ng;Ru San Tan;U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya

  • Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

    Yuki Hagiwara;Hamido Fujita;Shu Lih Oh;Jen Hong Tan

  • Classification of heart sound signals using a novel deep WaveNet model.

    Shu Lih Oh;V. Jahmunah;Chui Ping Ooi;Ru-San Tan

  • Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals

    U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya;Vidya K. Sudarshan;Joel E.W. Koh;Roshan Joy Martis

  • Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals.

    Hui Tian Tor;Chui Ping Ooi;Nikki Sj Lim-Ashworth;Joel Koh En Wei

  • Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)

    Hui Wen Loh;Chui Ping Ooi;Jahmunah Vicnesh;Shu Lih Oh

  • Computer-aided diagnosis of congestive heart failure using ECG signals - A review.

    V. Jahmunah;Shu Lih Oh;Joel Koh En Wei;Edward J Ciaccio

  • Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal

    U Rajendra Acharya;U Rajendra Acharya;U Rajendra Acharya;Hamido Fujita;Vidya K Sudarshan;Shu Lih Oh

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Jen Hong Tan
Jen Hong Tan Singapore General Hospital
Joel En Wei Koh
Joel En Wei Koh Ngee Ann Polytechnic
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Oliver Faust
Oliver Faust Sheffield Hallam University
N. Arunkumar
N. Arunkumar SASTRA University
Peter H.R. Green
Peter H.R. Green Columbia University
Hojjat Adeli
Hojjat Adeli The Ohio State University
Filippo Molinari
Filippo Molinari Polytechnic University of Turin

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

For students interested in studying Computer Science in the USA, there are several online degree options that cater to different educational backgrounds and career goals. Choosing the right pathway depends on your current qualifications, professional aspirations, and budget.

Those starting their college journey may consider exploring easy online associate degrees to build foundational skills in technology or related fields. If you are aiming to advance your expertise, pursuing affordable master's degrees online can provide in-depth knowledge and open up higher-level roles in the tech industry.

For professionals eager to take on leadership roles or academic careers, options like affordable doctoral programs in leadership or the cheapest online doctorate in educational leadership can be ideal. These programs help build expertise not only in technology but also in leading teams and organizations.

By choosing the right combination of affordability, flexibility, and curriculum, learners can find an online degree that matches their ambitions and makes a positive impact on their career pathways in Computer Science.

Best Scientists Citing Shu Lih Oh

Trending Scientists