World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
28938
World Ranking
956
National Ranking
17

Cuntai Guan 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 Cuntai Guan 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: 412 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Cuntai Guan 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 Cuntai Guan 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: 82 D-Index — 94th percentile

94% 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

  • 2018 - IEEE Fellow For contributions to brain-computer interfaces and applications

Overview

Cuntai Guan is affiliated with Nanyang Technological University in Singapore. Their research spans neuroscience and computer science, with a significant focus on cognitive neuroscience, artificial intelligence, cellular and molecular neuroscience, radiology, nuclear medicine and imaging, and signal processing.

Their main topics of work cover diverse areas including EEG and brain-computer interfaces, functional brain connectivity studies, neuroscience and neural engineering, advanced memory and neural computing, gaze tracking and assistive technology, emotion and mood recognition, and neural dynamics and brain function.

Frequent publication venues for their work include arXiv (Cornell University), IEEE Transactions on Neural Systems and Rehabilitation Engineering, Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Biomedical Engineering.

Their recent papers demonstrate a range of topics and collaborations:

  • A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • BCI for stroke rehabilitation: motor and beyond, 2020, Journal of Neural Engineering
  • TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition, 2022, IEEE Transactions on Affective Computing
  • Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network, 2020, Neural Networks

Cuntai Guan has collaborated frequently with several co-authors, including Yi Ding, Neethu Robinson, Kai Keng Ang, Erico Tjoa, and Ziyuan Zhao.

The scientist was awarded the IEEE Fellow in 2018 for contributions to brain-computer interfaces and their applications.

Best Publications

  • A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

    Erico Tjoa;Cuntai Guan

  • Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface

    Kai Keng Ang;Zhang Yang Chin;Haihong Zhang;Cuntai Guan

  • Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b.

    Kai Keng Ang;Zheng Yang Chin;Chuanchu Wang;Cuntai Guan

  • Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms

    Fabien Lotte;Cuntai Guan

  • Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface.

    Ranganatha Sitaram;Haihong Zhang;Cuntai Guan;Manoj Thulasidas

  • Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

    Siavash Sakhavi;Cuntai Guan;Shuicheng Yan

  • A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.

    Kai Keng Ang;Karen Sui Geok Chua;Kok Soon Phua;Chuanchu Wang

  • An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG

    Emadeldeen Eldele;Zhenghua Chen;Chengyu Liu;Min Wu

  • Time-Series Representation Learning via Temporal and Contextual Contrasting

    Emadeldeen Eldele;Mohamed Ragab;Zhenghua Chen;Min Wu

  • A Brain Controlled Wheelchair to Navigate in Familiar Environments

    B Rebsamen;Cuntai Guan;Haihong Zhang;Chuanchu Wang

  • Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI

    M Arvaneh;Cuntai Guan;Kai Keng Ang;Chai Quek

  • BCI for stroke rehabilitation: motor and beyond.

    Ravikiran Mane;Tushar Chouhan;Cuntai Guan

  • Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface

    Q. Novi;C. Guan;Tran Huy Dat;Ping Xue

  • Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke.

    Kai Keng Ang;Cuntai Guan;Kok Soon Phua;Chuanchu Wang

  • A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration

    Luzheng Bi;Aberham ->Genetu Feleke;Cuntai Guan

  • Robust classification of EEG signal for brain-computer interface

    M. Thulasidas;Cuntai Guan;Jiankang Wu

  • An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential

    Yuanqing Li;Jinyi Long;Tianyou Yu;Zhuliang Yu

  • Controlling a Wheelchair Indoors Using Thought

    B. Rebsamen;C.L. Teo;Q. Zeng;M.H. Ang

  • Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting

    Haiping Lu;How-Lung Eng;Cuntai Guan;Konstantinos N Plataniotis

  • A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

    K.P. Thomas;Cuntai Guan;Chiew Tong Lau;A.P. Vinod

  • A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.

    Kai Keng Ang;Cuntai Guan;Karen Sui Geok Chua;Beng Ti Ang

  • Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks

    O-Yeon Kwon;Min-Ho Lee;Cuntai Guan;Seong-Whan Lee

  • Resting state changes in functional connectivity correlate with movement recovery for BCI and robot-assisted upper-extremity training after stroke.

    Bálint Várkuti;Cuntai Guan;Yaozhang Pan;Kok Soon Phua

Frequent Co-Authors

Kai Keng Ang
Kai Keng Ang A*STAR - Agency for Science, Technology and Research
A. P. Vinod
A. P. Vinod Singapore Institute of Technology
Yuanqing Li
Yuanqing Li South China University of Technology
Chai Quek
Chai Quek Nanyang Technological University
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
Wei Min Huang
Wei Min Huang Nanyang Technological University
Daniel S. S. Fung
Daniel S. S. Fung Institute of Mental Health
Shijian Lu
Shijian Lu Nanyang Technological University
Seong-Whan Lee
Seong-Whan Lee Korea University
Juan Zhou
Juan Zhou National University of Singapore

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