Papers
4
Total Citations
52
H-Index
3
About
Dr. Yufan Zheng is a leading researcher in intelligent remanufacturing and autonomous robotic repair, with a focus on advancing circular economy technologies. Her work centers on integrating computer vision and automated path planning to transform laser cladding—a critical process for restoring high-value industrial components. Dr. Zheng’s most impactful contribution is the development of a vision-based spatial damage localization method (34 citations), which replaces manual, time-consuming inspection with an automated system that precisely identifies defects before robotic repair. This innovation directly addresses the inefficiencies and inaccuracies of traditional remanufacturing workflows. She further advanced the field with an efficient tool-path planning approach for repairing cylindrical components (13 citations), enabling more precise and faster repairs. Her recent bibliometric and systematic review on scheduling in remanufacturing systems (2025) synthesizes global research trends, underscoring her leadership in transitioning industry from linear “make-use-dispose” models toward closed-loop value creation. Dr. Zheng’s work is pivotal for achieving net-zero emissions and resource circularity, making her a key figure in sustainable manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4