Prof. Shengqi Guan | Computer Applications | Research Excellence Award
Professor | Xi’an Polytechnic University | China
Prof. Shengqi Guan is a prominent researcher in intelligent manufacturing, artificial intelligence, and machine vision, with impactful contributions to defect detection, robotic end-effectors, and precision intelligent assembly. His research integrates deep learning with industrial automation, advancing intelligent inspection and flexible manufacturing systems. He has published 42 high-quality research articles that have received 315 citations across 290 documents, achieving an h-index of 11. His work is widely recognized in leading SCI journals and has significantly influenced both academic research and real-world industrial applications in smart manufacturing.
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Featured Publications
Fabric Defects Detection Method Based on Siamese Network Model
– Journal of the Textile Institute, 2025
An Improved Surface Defect Detection Algorithm for Strip Steel Based on YOLOv11
– Conference Paper, 2025
Ceramic Ring Defect Detection Algorithm Constructed on an Improved YOLO11 Model
– Conference Paper, 2025
Intelligent Visual Inspection and Defect Detection Techniques in Manufacturing Systems
– Scopus Author Profile