Jianqin Xie

Papers

Total Citations

H-Index

About

Jianqin Xie is a researcher in web security and data mining, with a focus on detecting and analyzing automated web crawlers. Their most cited work, "A Web Crawler Detection Algorithm Based on Web Page Member List" (2012, 14 citations), addresses the growing challenge of distinguishing between legitimate search engine crawlers and malicious bots. By analyzing navigational patterns from web logs, Xie proposed a novel algorithm that constructs a member list for each web page to identify non-human traffic. This contribution is particularly valuable for improving website security and resource management, as unchecked crawlers can degrade server performance or scrape sensitive data. Xie’s work bridges practical cybersecurity needs with algorithmic innovation, offering a lightweight yet effective solution for real-world deployment. While their citation count reflects a focused niche, the research has implications for modern bot detection systems, especially as web traffic becomes increasingly automated. Xie’s approach stands out for its simplicity and adaptability, making it a useful reference for developers and researchers working on web analytics, intrusion detection, or search engine optimization.