Yi Gu

Papers

Total Citations

H-Index

About

Yi Gu is a researcher whose work lies at the intersection of web analytics, cybersecurity, and data mining. Her most recognized contribution, "Web robot detection techniques based on statistics of their requested URL resources" (2005), addresses a critical challenge in the early internet era: distinguishing human users from automated web robots. By analyzing navigational patterns in web server logs, Gu developed two novel algorithms—one based on classification and statistics of requested URL resources—that significantly improved detection accuracy. This foundational work, with 17 citations, has informed subsequent research in bot detection, web traffic analysis, and cybersecurity. Gu’s research is notable for its practical impact on web server management and data quality assurance, helping organizations filter out non-human traffic to better understand genuine user behavior. Her contributions remain relevant as bot traffic continues to grow, making her work a touchstone for students and researchers exploring web analytics, machine learning for security, and internet measurement.