Weigang Guo

Papers

Total Citations

H-Index

About

Weigang Guo is a researcher specializing in web analytics, search engine technology, and bot detection. His work focuses on identifying and analyzing the navigational patterns of web robots and crawlers—automated programs that index or scrape websites—using statistical and algorithmic approaches. Guo's major contributions include developing two novel detection algorithms: one based on the classification and statistics of requested URL resources (2005), and another leveraging a "Web page member list" (2012). These methods help webmasters distinguish between human users and automated agents, improving site security and resource management. Though his most-cited papers have garnered modest attention (17 and 14 citations respectively), they represent foundational work in an era when search engine traffic was rapidly growing. Guo’s research addresses a critical challenge: ensuring that legitimate web traffic is not disrupted while protecting sites from malicious or excessive crawling. His algorithms offer practical, log-based solutions that remain relevant for modern web administration and cybersecurity.