Quandong Ni

Beijing University of Agriculture

Papers

1

Total Citations

3

H-Index

1

About

Quandong Ni is a researcher focused on precision manufacturing and microelectronic device assembly, with particular expertise in computer vision and automation. His work addresses critical challenges in scaling up the production of microelectronic devices through innovative visual positioning techniques. Ni’s most cited paper, “Visual Positioning Algorithm Based on Micro Assembly Line” (2020), introduces a monocular vision-based detection scheme for microelectronic assembly robots. By analyzing camera calibration and distortion principles, he developed algorithms that enhance positioning accuracy on assembly platforms, enabling more reliable mass production of micro-scale components. This contribution has accumulated 3 citations, reflecting its relevance to researchers and engineers working on automated micro-assembly systems. Ni’s research bridges the gap between theoretical computer vision and practical manufacturing constraints, offering solutions that improve yield rates in microelectronics fabrication. His work is particularly valuable for students and professionals exploring vision-guided robotics, precision alignment, and scalable production methods for miniaturized devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Visual Positioning Algorithm Based on Micro Assembly Line
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing University of Agriculture

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago