Standout Papers

Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach 2019 2026 2021 2023 236
  1. Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach (2019)
    Yang Bao, Bin Ke et al. Journal of Accounting Research

Immediate Impact

19 standout
Sub-graph 1 of 9

Citing Papers

The impact of AI on accounting practices: A review: Exploring how artificial intelligence is transforming traditional accounting methods and financial reporting
2024 Standout
Investor–firm interactions and corporate investment efficiency: Evidence from China
2024 Standout
2 intermediate papers

Works of Y. Julia Yu being referenced

Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach
2019 Standout
Linguistic tone and the small trader
2018

Author Peers

Author Last Decade Papers Cites
Y. Julia Yu 289 107 67 94 10 387
Jie Zhang 204 62 41 93 11 347
Mary Jane Lenard 317 51 77 96 22 448
Lynnette D. Purda 259 106 66 77 19 340
Edwige Cheynel 259 128 50 44 22 336
Ruibin Geng 236 85 47 142 9 455
Robert Tumarkin 168 220 47 36 10 393
Khrystyna Bochkay 279 136 134 35 20 412
Duane B. Kennedy 359 134 88 125 19 450
Jodi L. Gissel 361 106 97 54 17 428
Isam Saleh 239 68 186 52 24 414

All Works

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Rankless by CCL
2026