Low-risk Customer Classification
Low-Risk Customer Classification is a risk-based assessment construct that categorizes customers according to their minimal likelihood of engaging in financial crime or default behaviors, distinguishing it from other classifications by its emphasis on verified low-risk attributes such as stable transaction patterns, strong identity verification, and absence of adverse regulatory flags.
3
Publications
110
Citations
8
Authors
4
Institutions
Publications per year
2017–2026
0
3
1–5 of 3
8
1
h-index
1
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 45 citations
1
h-index
1
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1
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1–5 of 8
4

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
3 publications
135 citations
Transnational University Limburg
Diepenbeek, Belgium
1 h-index
3 publications
120 citations
Georgia State University
Atlanta, United States
1 h-index
2 publications
90 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
1 h-index
1 publications
40 citations

Babasaheb Bhimrao Ambedkar University
Lucknow, India
1 publications
10 citations

Instituto Politécnico Nacional
Mexico City, Mexico
1 publications
10 citations
Universidad Autónoma del Estado de Hidalgo
Pachuca, Mexico
1 publications
10 citations
1–7 of 4
JB · 1 publications · 25 citations
1
h-index
1 publications · 45 citations
1
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IJRM · 1 publications · 40 citations
1
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1 publications · 10 citations
1 publications · 10 citations
1–5