Leong Chan

Pacific Lutheran University

Papers

2

Total Citations

22

H-Index

2

About

Leong Chan is an emerging scholar whose research sits at the dynamic intersection of artificial intelligence and financial services. His work focuses on exploring how AI technologies are transforming traditionally human-driven industries, particularly accounting, auditing, and insurance. In his 2022 publication "Artificial Intelligence in Accounting and Auditing," Chan investigates how machine learning and AI-driven tools are reshaping financial reporting, fraud detection, and audit processes — a contribution that has already garnered 17 citations, signaling its growing influence within the academic and professional communities. Complementing this work, his contemporaneous study "Artificial Intelligence in Insurance" examines how AI is disrupting risk assessment, claims processing, and underwriting, accumulating 5 citations since its publication. Together, these works establish Chan as a thoughtful voice addressing the broader digitization of financial services. His research is particularly valuable for students, practitioners, and policymakers navigating the rapid adoption of AI in regulated industries, offering timely insights into both the opportunities and challenges these technologies present for professional practice and governance.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence in Accounting and Auditing
17 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Pacific Lutheran University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago