Lijuan Yang

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

H-Index

About

Dr. Lijuan Yang is a researcher specializing in computer vision and automated manufacturing, with a particular focus on image processing for industrial applications. Her most cited work, "The autonomous detection of sheet metal parts using image processing" (2015), has garnered 8 citations, establishing her as a contributor to the field of intelligent manufacturing. This paper introduces innovative methods for the autonomous identification and localization of sheet metal components, addressing critical challenges in quality control and assembly automation. Dr. Yang's research bridges the gap between theoretical image processing algorithms and practical industrial needs, offering solutions that enhance efficiency and precision in production lines. Her contributions are particularly relevant to the growing demand for smart factories and Industry 4.0 technologies, where autonomous detection systems are essential. While her citation count reflects a focused and emerging impact, her work lays the groundwork for future advancements in automated visual inspection and robotic guidance. Dr. Yang's dedication to applied computer vision continues to inspire researchers and engineers seeking to integrate intelligent systems into manufacturing environments.