Standout Papers

Prediction of the development of acute kidney injury following cardiac surgery by machine learning 2020 2026 2022 2024263
  1. Prediction of the development of acute kidney injury following cardiac surgery by machine learning (2020)
    Yi‐Ting Chen, Kuan‐Ming Chiu et al. Critical Care

Immediate Impact

1 from Science/Nature 59 standout
Sub-graph 1 of 24

Citing Papers

Advances and challenges in portable optical biosensors for onsite detection and point-of-care diagnostics
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A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department
2024 Standout
2 intermediate papers

Works of Yi‐Ting Chen being referenced

Prediction of the development of acute kidney injury following cardiac surgery by machine learning
2020 Standout

Author Peers

Author Last Decade Papers Cites
Yi‐Ting Chen 73 93 121 105 97 16 590
Shih-Ping Hsu 25 95 54 195 49 15 682
J. Leonard Brandt 94 76 60 32 61 32 582
M. Massey 37 34 70 66 89 19 698
Jun Ma 83 44 76 38 47 22 619
Telma de Jesus Soares 30 95 59 85 63 35 574
Tobias Vogelmann 38 68 69 37 21 16 515
Chunyan Su 45 144 73 234 78 50 668
R. E. Cronin 61 146 129 246 57 24 594
Yi-Jung Lee 50 68 83 36 81 15 619
Ke Lin 20 120 29 49 54 21 515

All Works

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2026