Papers
4
Total Citations
43
H-Index
4
About
Guojun Wang’s research advances the frontiers of intelligent sensing, wireless localization, and Internet of Things (IoT) systems, with a particular focus on applications in healthcare, structural safety, and precision measurement. He has made significant contributions to indoor wireless localization by developing an intelligent fusion method that combines received signal strength with inertial measurements, achieving robust positioning in complex environments (13 citations). His work on sub-pixel circle detection, integrating an improved randomized Hough transform with fitting algorithms, provides high-accuracy visual measurement for industrial and robotic applications (20 citations). Wang also addresses critical societal challenges: his ZigBee-based elderly health monitoring system demonstrates a practical, low-cost IoT solution for remote healthcare (5 citations), while his research on debris information analysis for Wi-Fi radar edge computing supports search-and-rescue operations in collapsed structures (5 citations). These contributions reflect his ability to bridge theoretical algorithms with real-world deployments, earning recognition for impactful, application-driven research that enhances both human safety and technological precision.
Research Focus
Key Achievements
Top Papers
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