Xinghua Feng

Southwest University of Science and Technology

Papers

Total Citations

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About

Xinghua Feng is a researcher focused on advancing nuclear robotics and radiation detection technologies. Their primary research areas include nuclide recognition methods, energy spectrum analysis, and autonomous systems for hazardous nuclear environments. Feng’s most notable contribution is the development of a novel nuclide recognition method designed specifically for nuclear robot systems, addressing critical challenges such as noise susceptibility and incomplete energy spectrum utilization that plague traditional identification techniques. This work, published in 2021, proposes a more robust approach that leverages the full energy spectrum curve, significantly improving recognition accuracy in real-world attenuation environments. While the paper has garnered 2 citations to date, its practical implications for enhancing the safety and reliability of nuclear robotics are substantial. Feng’s research bridges the gap between radiation physics and autonomous systems, offering solutions that could enable more effective nuclear waste management, decommissioning, and emergency response operations. Their work represents an important step toward creating intelligent robots capable of operating in high-radiation zones with greater precision and autonomy.