Mei-He Jiang
Papers
1
Total Citations
2
H-Index
1
About
Mei-He Jiang is a researcher whose work sits at the intersection of cybersecurity, data mining, and internet governance. His most-cited paper, "The Hot Security Topics Analysis for the Announcements in ICANN Website by Using Web Crawler and Association Rule Technology" (2019, 2 citations), demonstrates a novel approach to extracting and analyzing security trends from the Internet Corporation for Assigned Names and Numbers (ICANN) announcements. By combining web crawling techniques with association rule mining, Jiang developed a method to automatically identify emerging hot topics in internet security, offering a data-driven lens through which to understand the evolving threat landscape. This work contributes to the broader field of cybersecurity intelligence, where automated analysis of public data sources can inform policy and proactive defense strategies. Though his citation count is modest, Jiang’s research reflects a practical, applied focus—bridging the gap between raw web data and actionable security insights. His work is particularly relevant for students and researchers interested in the intersection of natural language processing, web mining, and internet governance, showcasing how computational methods can uncover patterns in the complex, fast-moving world of online security.
Research Focus
Key Achievements
Top Papers
- 1