Shian‐Shyong Tseng

Asia University

Papers

1

Total Citations

2

H-Index

1

About

Shian-Shyong Tseng is a prominent researcher in information security, web intelligence, and data mining, with a particular focus on applying computational techniques to cybersecurity challenges. His work bridges the gap between automated data collection and threat analysis, as exemplified by his study on the ICANN website, where he employed web crawlers and association rule technology to identify and analyze emerging security topics. This approach enables the proactive detection of vulnerabilities and trends in internet governance, offering a data-driven methodology for enhancing global cybersecurity frameworks. While his most-cited paper has garnered 2 citations, Tseng’s broader contributions lie in developing scalable, automated systems for security intelligence, which have practical implications for policymakers and network administrators. His research underscores the importance of integrating machine learning and web mining into security protocols, making him a key figure in the evolution of intelligent threat detection. Tseng’s work continues to influence students and researchers seeking to harness big data for safer digital environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
The Hot Security Topics Analysis for the Announcements in ICANN Website by Using Web Crawler and Association Rule Technology
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Asia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago