World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
12873
World Ranking
4471
National Ranking
54

Kai Keng Ang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Kai Keng Ang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 217 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Kai Keng Ang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Kai Keng Ang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Kai Keng Ang is affiliated with A*STAR - Agency for Science, Technology and Research in Singapore. Their research primarily focuses on neuroscience with a significant emphasis on brain-computer interfaces (BCI) and neural engineering.

Their scholarly output includes a number of recent papers published in various reputable venues:

  • Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface (2020), IEEE Transactions on Neural Networks and Learning Systems
  • Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke (2020), IEEE Transactions on Biomedical Engineering
  • FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface (2021), arXiv (Cornell University)
  • Efficacy of Brain-Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled Trials (2021), Clinical EEG and Neuroscience
  • Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke (2021), Scientific Reports

The main fields of study associated with their work are:

  • Neuroscience

Within neuroscience, their research covers these subfields:

  • Cognitive Neuroscience
  • Biomedical Engineering
  • Cellular and Molecular Neuroscience
  • Human-Computer Interaction
  • Neurology

The topics frequently addressed in their studies include:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Gaze Tracking and Assistive Technology
  • Muscle activation and electromyography studies
  • Transcranial Magnetic Stimulation Studies

Their collaborations include frequent coauthors such as Cuntai Guan, Effie Chew, Kok Soon Phua, Chuanchu Wang, and Mengjiao Hu. These partnerships likely support their research activities and publications.

Kai Keng Ang has published repeatedly in these venues, evidencing sustained dissemination of their work:

  • Scientific Reports
  • Frontiers in Neurology
  • Brain Sciences
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • 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

  • 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

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

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

  • 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 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

  • 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

  • Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback

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

  • EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation

    Kai Keng Ang;Cuntai Guan

  • Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

    Fatemeh Fahimi;Zhuo Zhang;Wooi Boon Goh;Tih-Shi Lee

  • Brain-Computer Interface in Stroke Rehabilitation

    Kai Keng Ang;Cuntai Guan

  • Mutual information-based selection of optimal spatial-temporal patterns for single-trial EEG-based BCIs

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

  • On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification

    Huijuan Yang;Siavash Sakhavi;Kai Keng Ang;Cuntai Guan

  • Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

    Fatemeh Fahimi;Strahinja Dosen;Kai Keng Ang;Natalie Mrachacz-Kersting

  • A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation

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

  • Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

    Ruyi Foong;Ning Tang;Effie Chew;Karen Sui Geok Chua

  • Facilitating effects of transcranial direct current stimulation on motor imagery brain-computer interface with robotic feedback for stroke rehabilitation.

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

  • Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface

    Ahmed M. Azab;Lyudmila Mihaylova;Kai Keng Ang;Mahnaz Arvaneh

  • EEG-based Emotion Recognition Using Self-Organizing Map for Boundary Detection

    Reza Khosrowabadi;Hiok Chai Quek;Abdul Wahab;Kai Keng Ang

  • Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach

    K.K. Ang;C. Quek

  • Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain–Computer Interface

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

Frequent Co-Authors

Cuntai Guan
Cuntai Guan Nanyang Technological University
Chai Quek
Chai Quek Nanyang Technological University
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
A. P. Vinod
A. P. Vinod Singapore Institute of Technology
Sim Heng Ong
Sim Heng Ong National University of Singapore
Tong Heng Lee
Tong Heng Lee National University of Singapore
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Roger C.M. Ho
Roger C.M. Ho Hong Kong University of Science and Technology
Xudong Jiang
Xudong Jiang Nanyang Technological University
Wei Min Huang
Wei Min Huang Nanyang Technological University

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