Ponzi Scheme Detection
Ponzi Scheme Detection is a methodological framework within financial crime analysis that identifies fraudulent investment operations by distinguishing their characteristic patterns of fabricated returns and continual reliance on new investor inflows from legitimate profit-generating activities.
33
Publications
2.3K
Citations
99
Authors
44
Institutions
Publications per year
2017–2026
28
33
Detecting Ponzi Schemes on Ethereum
Weili Chen, Zibin Zheng, Jiahui Cui et al. · 2018 · 403 citations · Full text
Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum
Weili Chen, Zibin Zheng, Edith C.‐H. Ngai et al. · IEEE Access · 2019 · 253 citations · Full text
Data Mining-Based Ethereum Fraud Detection
Eunjin Jung, Marion Le Tilly, Ashish Gehani et al. · 2019 · 97 citations
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Sun Yat-sen University
Guangzhou, China
5 h-index
15 publications
3.4K citations

University of Cagliari
Cagliari, Italy
4 h-index
12 publications
1.7K citations
Wuhan University
Wuhan, China
4 h-index
15 publications
600 citations

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
12 publications
469 citations
Central University of Finance and Economics
Beijing, China
3 h-index
10 publications
422 citations
State Key Laboratory of Cryptology
Beijing, China
2 h-index
2 publications
109 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
2 h-index
2 publications
46 citations

Uppsala University
Uppsala, Sweden
2 h-index
2 publications
656 citations
1–8 of 44
Repository · 2 publications · 91 citations
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2 publications · 295 citations
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TOSEM · 2 publications · 87 citations
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1 publications · 25 citations
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Repository · 1 publications · 334 citations
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