Standout Papers

What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and s... 2019 2026 2021 2023 209
  1. What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach (2019)
    Khe Foon Hew, Xiang Hu et al. Computers & Education

Immediate Impact

6 from Science/Nature 66 standout
Sub-graph 1 of 23

Citing Papers

Artificial Intelligence in Education: Mathematics Teachers’ Perspectives, Practices and Challenges
2024 Standout
Nature-inspired adhesive systems
2024 Standout
2 intermediate papers

Works of Chen Qiao being referenced

What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
2019 Standout
A Novel, Variable Stiffness Robotic Gripper Based on Integrated Soft Actuating and Particle Jamming
2016

Author Peers

Author Last Decade Papers Cites
Chen Qiao 121 135 46 246 175 23 847
Jarka Glassey 356 24 8 149 44 77 985
Fabiane Barreto Vavassori Benitti 33 114 67 482 24 755
Savvas A. Chatzichristofis 16 96 27 92 53 921
Daniele Mazzei 51 114 230 14 60 921
Peter Andreae 58 439 11 59 58 44 836
Jacky Baltes 6 184 144 100 68 718
Yun Zhou 110 153 42 169 34 85 886
Chih‐Hung Chung 143 16 75 42 51 39 712
Jingping Liu 21 366 78 56 43 936
Francisco Serradilla 19 151 2 60 64 53 868

All Works

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2026