Standout Papers

Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost alg... 2018 2026 2020 2023 291
  1. Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)
    Xiaojun Ma, Dehua Wang et al. Electronic Commerce Research and Applications

Immediate Impact

55 standout
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Citing Papers

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2 intermediate papers

Works of Xiaojun Ma being referenced

Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning
2018 Standout

Author Peers

Author Last Decade Papers Cites
Xiaojun Ma 19 16 119 87 58 24 407
Wei Li 4 179 145 64 24 424
Yuanbo Yu 3 99 87 58 9 409
Juan Pérez 18 4 194 139 43 20 434
Pankaj Deep Kaur 5 134 57 42 40 456
Hang Yin 4 100 46 9 42 405
Jingqi Wang 4 149 96 101 27 423
Pakize Taylan 47 14 67 16 12 17 363
Zhengkai Liu 1 55 18 32 31 377
Peter Appiahene 3 93 28 12 43 375
Nikolay Laptev 1 120 52 7 16 358

All Works

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2026