Latest Research in Financial Fraud Analytics
48 research papers · 2026 median publication year
Top Research Topics in Financial Fraud Analytics
- Imbalanced Data Classification Techniques — 22 papers
- Machine Learning — 9 papers
- Advanced Graph Neural Networks — 4 papers
- Cryptography and Security — 4 papers
- Cybercrime and Law Enforcement Studies — 1 papers
- Auditing, Earnings Management, Governance — 1 papers
- General Finance — 1 papers
- Blockchain Technology Applications and Security — 1 papers
- Applications — 1 papers
- Computational Engineering, Finance, and Science — 1 papers
Highest-Cited Papers
- A Review on Detection of Advance Fee Fraud Using Natural Language Processing
- Cross-domain graph fraud detection under extreme imbalance: a two-stage transfer framework
- FraudDebate-Agent: A Multi-Agent LLM Framework with an Evidence-Based Debate Mechanism for Financial Statement Fraud Detection
- Traceable LLM Reasoning for Fake-Order Fraud Detection
- A Practitioner's Framework for Automated Fraud Detection in Cloud Credit Systems: A Case Study
- Shadow Banking Detection with Graph Neural Networks: Mapping Unofficial Lending Networks
- Shadow Banking Detection with Graph Neural Networks: Mapping Unofficial Lending Networks
- A Practitioner's Framework for Automated Fraud Detection in Cloud Credit Systems: A Case Study
- Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks
- Prediction of bank transaction fraud using TabNet an adaptive deep learning architecture
- Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation
- Dilated convolutional max pooled locality attention-based Trans network for Unified Payments Interface Fraud Detection
- A Fair, Leakage-Controlled Comparison of Machine Learning and Deep Learning for Credit-Card Fraud Detection
- AR Fraud Isn't a Detection Problem. It's an Identity Problem.
- A Fair, Leakage-Controlled Comparison of Machine Learning and Deep Learning for Credit-Card Fraud Detection
- AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation
- AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation
- AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation
- Enhanced fraud detection in credit card transactions using a Bayesian Gaussian mixture model approach
- AI in Customs Fraud Detection: Benchmarking Neural Approaches to Invoice Manipulation