Standout Papers

Data leakage inflates prediction performance in connectome-based machine learning models 2024 202635
  1. Data leakage inflates prediction performance in connectome-based machine learning models (2024)
    Matthew Rosenblatt, Link Tejavibulya et al. Nature Communications

Immediate Impact

2 standout

Citing Papers

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
2025 Standout
Artificial intelligence, corporate information governance and ESG performance: Quasi-experimental evidence from China
2025 Standout
2 intermediate papers

Works of Link Tejavibulya being referenced

Data leakage inflates prediction performance in connectome-based machine learning models
2024 Standout
Functional Connectome–Based Predictive Modeling in Autism
2022

Author Peers

Author Last Decade Papers Cites
Link Tejavibulya 77 22 11 25 14 120
Vishnu Bashyam 65 13 13 54 9 155
Charlotte Fraza 88 31 25 36 11 141
Javid Dadashkarimi 111 49 12 34 13 151
Jessica Dafflon 114 25 26 46 10 192
Nils R. Winter 119 84 14 53 17 222
Keiho Owada 126 17 4 26 11 163
Matthew Leming 62 8 5 33 9 129
Phoebe Imms 84 11 11 69 14 157
David Sabbagh 136 10 8 24 7 168
Byung-Hoon Kim 86 42 8 57 21 219

All Works

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2026