Dah Ming Chiu

Chinese University of Hong Kong

Papers

3

Total Citations

47

H-Index

3

About

Dah Ming Chiu is a leading researcher in the security and integrity of online video services, with a particular focus on the detection and analysis of fraudulent view counts. His most-cited work, "Analysis and Detection of Fake Views in Online Video Services" (2015), has garnered 31 citations and addresses a critical vulnerability in the digital economy: the manipulation of view counts on video-on-demand platforms. Chiu’s research reveals how fake views distort the value of content for stakeholders—from viewers and content owners to advertisers and service providers—and proposes robust analytical methods to identify and mitigate such fraud. His earlier studies on the same topic (2014) further cemented his reputation as a pioneer in this niche, collectively earning over 47 citations. By exposing the financial incentives behind view manipulation and developing detection frameworks, Chiu has provided both academic insights and practical tools for platform operators. His work is essential reading for students and researchers interested in cybersecurity, data integrity, and the economics of online media, highlighting the ongoing battle between authenticity and deception in the digital age.

Research Focus

Key Achievements

3
H-Index
3
Papers
47
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Analysis and Detection of Fake Views in Online Video Services
31 citations · 2015
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chinese University of Hong Kong

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago