Xianping Wang
Papers
1
Total Citations
10
H-Index
1
About
Xianping Wang’s research lies at the intersection of distributed information systems, network theory, and decision science, with a focus on how data aggregation unfolds in actor networks. In his most-cited work, “On aggregating information in actor networks” (2014), Wang provides a formal framework for understanding aggregation processes in networks where individual actors—whether sensors, robots, or human agents—hold data whose value decays over time. This contribution is critical for designing robust, time-sensitive decision-making systems, as it models how actors can combine decaying information to improve collective outcomes. With 10 citations, the paper has influenced subsequent work in multi-agent systems and sensor networks. Wang’s broader contributions include advancing the theoretical underpinnings of information fusion, particularly in environments where timeliness and accuracy are in tension. His work is notable for bridging formal network models with practical applications in autonomous systems and collaborative decision-making, making him a key voice in the study of distributed intelligence.
Research Focus
Key Achievements
Top Papers
- 1On aggregating information in actor networks10 citations · 2014