Chenxi An
Papers
1
Total Citations
2
H-Index
1
About
Chenxi An is a researcher specializing in industrial defect detection and intelligent manufacturing, with a particular focus on advanced computer vision and deep learning techniques for quality inspection. Their most notable contribution is the development of a two-stage detection strategy for identifying internal surface defects in seamless steel pipes, a critical challenge in heavy industry. This innovative approach combines a suspected defect filtering mechanism with a parallel-encoder-based segmentation model, significantly improving detection accuracy and efficiency. Though a recent publication from 2025, this work has already garnered 2 citations, signaling growing interest in their practical, scalable solutions. Chenxi An’s research bridges the gap between theoretical machine learning and real-world industrial applications, addressing pressing needs in manufacturing automation. Their work stands out for its methodological rigor and potential to reduce waste and enhance safety in steel production. As a rising voice in the field, Chenxi An continues to push boundaries in defect detection, with future contributions likely to shape smart manufacturing and quality control systems.
Research Focus
Key Achievements
Top Papers
- 1