Papers
2
Total Citations
26
H-Index
2
About
Peng Shang is a researcher whose work sits at the intersection of intelligent sensing, embedded systems, and biomedical engineering. His most cited work, "Road surface real-time detection based on Raspberry Pi and recurrent neural networks" (17 citations), demonstrates a practical, low-cost approach to infrastructure monitoring. By combining a Raspberry Pi with an MPU 9250 sensor on a tripod dolly, Shang developed a system capable of classifying six distinct road surface types in real time—a contribution with clear applications for autonomous vehicles and smart city maintenance. In a different vein, his paper "A Novel Approach to Accumulate Superparamagnetic Particles in Aqueous Environment Using Time-Varying Magnetic Field" (9 citations) tackles a critical challenge in magnetic drug targeting (MDT). Shang proposed a novel magnet system using time-varying fields to improve the accumulation of therapeutic particles, directly addressing the limitations of existing static-field technologies. This work highlights his versatility, moving from embedded AI to targeted drug delivery. Though his citation counts are modest, Shang’s research is notable for its originality and cross-domain relevance, offering tangible solutions in both civil infrastructure and nanomedicine.
Research Focus
Key Achievements
Top Papers
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