World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
5697
World Ranking
6957
National Ranking
221

Siuly Siuly 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 Siuly Siuly 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Siuly Siuly 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 Siuly Siuly 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Siuly Siuly is affiliated with Victoria University in Australia and has made significant contributions in the fields of neuroscience, medicine, and computer science. Their research primarily focuses on cognitive neuroscience, cardiology and cardiovascular medicine, signal processing, biomedical engineering, and artificial intelligence.

Their scientific output covers several main topics, including:

  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Functional Brain Connectivity Studies
  • Blind Source Separation Techniques
  • Neuroscience and Neural Engineering
  • Advanced Memory and Neural Computing
  • Heart Rate Variability and Autonomic Control

Siuly has frequently published in journals such as:

  • Health Information Science and Systems
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Computers in Biology and Medicine
  • PLoS ONE
  • Computer Methods and Programs in Biomedicine

Some of the recent papers authored by Siuly include:

  • A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering

Siuly has collaborated with several frequent co-authors, including Hua Wang, Muhammad Tariq Sadiq, Md. Nurul Ahad Tawhid, Kate Wang, and Ashik Mostafa Alvi. This network has contributed to a diverse portfolio of interdisciplinary studies mainly focused on EEG and biomedical signal analysis.

In addition to journal articles, Siuly has contributed to books published by Springer Science+Business Media, notably titled "Health Information Science" with editions in 2021 and 2022.

Best Publications

  • Clustering technique-based least square support vector machine for EEG signal classification

    Siuly;Yan Li;Peng (Paul) Wen

  • Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating

    Ahnaf Rashik Hassan;Siuly Siuly;Yanchun Zhang

  • EEG Signal Analysis and Classification

    Siuly Siuly;Yan Li;Yanchun Zhang

  • Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface

    Siuly Siuly;Yan Li

  • Weighted Visibility Graph With Complex Network Features in the Detection of Epilepsy

    Supriya Supriya;Siuly Siuly;Hua Wang;Jinli Cao

  • Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis

    Siuly Siuly;Yanchun Zhang;Yanchun Zhang

  • A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals

    Siuly Siuly;Smith K. Khare;Varun Bajaj;Hua Wang

  • A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals

    Siuly Siuly;Omer Faruk Alcin;Enamul Kabir;Abdulkadir Sengur

  • Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification

    Siuly Siuly;Yan Li

  • Epileptic seizure detection from EEG signals using logistic model trees

    Enamul Kabir;Siuly;Yanchun Zhang

  • A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG.

    Md. Nurul Ahad Tawhid;Siuly Siuly;Hua Wang;Frank Whittaker

  • Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface

    Siuly;Yan Li;Peng (Paul) Wen

  • Epilepsy Detection from EEG using Complex Network Techniques: A Review.

    Supriya Supriya;Siuly Siuly;Hua Wang;Yanchun Zhang

  • Toward the Development of Versatile Brain–Computer Interfaces

    Muhammad Tariq Sadiq;Xiaojun Yu;Zhaohui Yuan;Muhammad Zulkifal Aziz

  • Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms

    Fatih Demir;Nebras Sobahi;Siuly Siuly;Abdulkadir Sengur

  • Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications

    Sachin Taran;Varun Bajaj;Dheeraj Sharma;Siuly Siuly

  • Automated epilepsy detection techniques from electroencephalogram signals: a review study

    Supriya Supriya;Siuly Siuly;Hua Wang;Yanchun Zhang

  • A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification.

    Hadi Ratham Al Ghayab;Hadi Ratham Al Ghayab;Yan Li;Siuly Siuly;Shahab Abdulla

  • A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.

    Shalu Chaudhary;Sachin Taran;Varun Bajaj;Siuly Siuly

  • Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks

    Waqar Hussain;Muhammad Tariq Sadiq;Siuly Siuly;Ateeq Ur Rehman

  • Exploring Sampling in the Detection of Multicategory EEG Signals

    Siuly Siuly;Enamul Kabir;Hua Wang;Yanchun Zhang

  • Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method

    mer F. Aln;Siuly Siuly;Varun Bajaj;Yanhui Guo

  • Exploring Hermite transformation in brain signal analysis for the detection of epileptic seizure

    Siuly Siuly;Omer F. Alcin;Varun Bajaj;Abdulkadir Sengur

  • A novel statistical algorithm for multiclass EEG signal classification

    Siuly;Yan Li

Frequent Co-Authors

Yanchun Zhang
Yanchun Zhang Victoria University
Hua Wang
Hua Wang Victoria University
Varun Bajaj
Varun Bajaj Maulana Azad National Institute of Technology
Abdulkadir Sengur
Abdulkadir Sengur Fırat University
Yanhui Guo
Yanhui Guo Fudan University
Jinli Cao
Jinli Cao La Trobe University
Uwe Aickelin
Uwe Aickelin University of Melbourne
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Xiangliang Zhang
Xiangliang Zhang University of Notre Dame
Wei Xiang
Wei Xiang La Trobe University

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