Kai Keng Ang

Institute for Infocomm Research, Agency for Science, Technology and Research, A*STAR Graduate Academy

Papers

26

Total Citations

2,359

H-Index

15

About

No biography available yet.

Research Focus

Brain–computer interface24 · 2,349 citations
Electroencephalography23 · 2,294 citations
Medicine18 · 2,234 citations
Physical medicine and rehabilitation17 · 2,230 citations
Stroke (engine)15 · 2,214 citations
Rehabilitation16 · 2,214 citations
Physical therapy13 · 1,935 citations
Motor imagery17 · 1,848 citations
Psychology20 · 1,831 citations
Neuroscience19 · 1,825 citations
Internal medicine3 · 719 citations
Surgery4 · 559 citations

Key Achievements

15
H-Index
26
Papers
2,359
Total Citations
91
Avg Citations/Paper
🏆 Most Cited Paper
A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
533 citations · 2014
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 86
🏛 Institutions: Institute for Infocomm Research, Agency for Science, Technology and Research, A*STAR Graduate Academy

Top Papers

  1. 1
    A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
    533 citations · 2014
  2. 2
    Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke
    353 citations · 2014
  3. 3
    Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke
    263 citations · 2012
  4. 4
    Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback
    234 citations · 2010
  5. 5
    Facilitating Effects of Transcranial Direct Current Stimulation on Motor Imagery Brain-Computer Interface With Robotic Feedback for Stroke Rehabilitation
    157 citations · 2015
  6. 6
    Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke
    153 citations · 2020
  7. 7
    A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation
    149 citations · 2009
  8. 8
    Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke
    146 citations · 2015
  9. 9
    Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitation
    76 citations · 2012
  10. 10
    A feasibility study of non-invasive motor-imagery BCI-based robotic rehabilitation for Stroke patients
    56 citations · 2009

Key Collaborators

CGCuntai Guan23 shared papersKSKok Soon Phua17 shared papersCWChuanchu Wang14 shared papersKSKaren Sui Geok Chua7 shared papersZYZheng Yang Chin5 shared papersCWChristopher Wee Keong Kuah5 shared papersBTBeng Ti Ang4 shared papersRQRosa Q. So4 shared papersECEffie Chew4 shared papersJYJuanhong Yu4 shared papersKYKa Yin Tang3 shared papersZXZhiming Xu3 shared papersCLCamilo Libedinsky3 shared papersLZLing Zhao3 shared papersHZHaihong Zhang3 shared papersLZLongjiang Zhou3 shared papersKKKyaw Kyar Toe2 shared papersWTWei‐Peng Teo2 shared papersWHWai Hoe Ng2 shared papersLHLau Ha Chloe Chung2 shared papers
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