Li Ran

Papers

Total Citations

H-Index

About

Li Ran is a leading researcher in intelligent welding manufacturing, specializing in the intersection of artificial intelligence and advanced sensing for gas metal arc welding (GMAW). Their work focuses on solving critical challenges in real-time process monitoring and quality control. Ran’s major contributions include pioneering the use of artificial neural networks to predict bead geometry under variable welding speeds—a breakthrough that addresses the complex, nonlinear relationships between welding parameters and final product quality. This work, published in 2021, has accumulated 35 citations, underscoring its practical value for industrial design and defect detection. Additionally, Ran developed innovative composite sensor technology for 3D reconstruction of the weld pool surface (2018, 15 citations), enabling unprecedented visualization of the molten pool dynamics. More recently, Ran applied stacked denoising autoencoders for robust denoising and feature extraction of weld seam profiles (2021, 8 citations), advancing automated inspection systems. These achievements demonstrate Ran’s commitment to merging data-driven models with physical sensing, making welding processes more adaptive, precise, and reliable—a vital contribution to modern manufacturing.