Wei Tang

Georgia Institute of Technology

Papers

2

Total Citations

132

H-Index

2

About

Wei Tang is a researcher whose work has made meaningful contributions to the field of web information systems, particularly in the area of large-scale web monitoring and information delivery. Tang is best known for developing **WebCQ**, a pioneering prototype system designed to detect and deliver information changes across the web at scale. Introduced in a landmark 2000 paper that has garnered over 103 citations, WebCQ leveraged the inherent structure of hypertext and the innovative concept of *continual queries* — a mechanism enabling automated, ongoing surveillance of web content rather than static, one-time retrieval. This work addressed a critical challenge of the early web era: how to efficiently track dynamic, rapidly changing information across a vast and decentralized network. Tang extended this research with a 2002 follow-up paper on scalable web information monitoring, further refining the architectural solutions needed to handle real-world deployment demands. Together, these contributions positioned Tang as an early innovator in what would become the foundation for modern web change detection, feed aggregation, and real-time information delivery systems — technologies that remain deeply relevant in today's data-driven digital landscape.

Research Focus

Key Achievements

2
H-Index
2
Papers
132
Total Citations
66
Avg Citations/Paper
🏆 Most Cited Paper
<i>WebCQ</i> -detecting and delivering information changes on the web
103 citations · 2000
📈 Most Prolific Year: 2000 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago