Author

Elizabeth Kuukua Amoako

Observed names: Elizabeth Amoako, Elizabeth Kuukua Woode Amoako

Institutions: The University of Texas at Dallas, Illinois Institute of Technology

Observed institutions: The University of Texas at Dallas, Illinois Institute of Technology

OpenAlex ID: A5116260395

Exploring the role of Machine Learning and Deep Learning in Anti-Money Laundering (AML) strategies within U.S. Financial Industry: A systematic review of implementation, effectiveness, and challenges

2025 · Elizabeth Kuukua Woode Amoako, Victor Boateng, et al. · Finance & Accounting Research Journal · 11

Harnessing Artificial Intelligence for combating money laundering and fraud in the U.S. financial industry: A comprehensive analysis

2025 · Victor Boateng, Elizabeth Kuukua Amoako, et al. · Finance & Accounting Research Journal · 2

Leveraging Machine Learning, Deep Learning and 6G Technologies in Anti-money Laundering Strategies: A Systematic Review of Implementation, Effectiveness and Challenges in the U.S. Financial Industry

2025 · David Amoako, Tracy Nyarkoah Obodai, et al. · Asian Journal of Economics Business and Accounting · 1

Enhancing Risk Management and Fraud Detection in the U.S. Financial Industry Through Machine Learning Algorithms: Applications, Challenges, and Future Directions

2025 · Elizabeth Kuukua Amoako, Precious Tochukwu Okeke, et al. · World Journal of Advanced Research and Reviews

Assessing the Impact of Machine Learning Model on Identifying Terrorism Financing Patterns within the U.S. Financial Industry

2025 · Matthew Oman-Amoako, Victor Boateng, et al. · International Journal For Multidisciplinary Research

AI-Driven user experience (UX) frameworks to enhance trust and security in U.S. online banking

2025 · Benedicta Emefa Gokah, Elizabeth Kuukua Amoako, et al. · Finance & Accounting Research Journal

Works count: 6

Citation count: 14

H-index: 2

I10-index: 1