Xian Guang Fan

Papers

Total Citations

H-Index

About

Xian Guang Fan is a leading researcher in intelligent manufacturing and welding process monitoring, with a particular focus on advancing machine vision technologies for industrial applications. His most-cited work, "Research and prospect of welding monitoring technology based on machine vision" (2021, 94 citations), provides a comprehensive review of how computer vision can enhance real-time quality control in welding—a critical area for sectors like automotive and aerospace. Fan’s contributions lie in bridging traditional welding engineering with modern AI-driven inspection methods, enabling more precise defect detection and process optimization. His research has been widely recognized for its practical impact, helping to reduce manufacturing errors and improve production efficiency. Beyond this flagship paper, Fan continues to explore the integration of deep learning and sensor fusion in automated systems. His work not only advances academic understanding but also offers tangible solutions for smart factories, making him a key figure in the evolution of intelligent welding technologies.