Shusheng Ding

Ningbo University

Papers

1

Total Citations

3

H-Index

1

About

Shusheng Ding is a researcher advancing the frontiers of industrial automation and intelligent manufacturing, with a particular focus on low-cost, accessible solutions for small-scale industries. His most-cited work, the "Low-Cost Automated Visual Screw Inspection System" (2023), tackles a critical gap in automation: the underutilization of autonomous robots in smaller production environments. By developing an affordable, image-processing-based inspection system, Ding demonstrates how sophisticated computer vision can be democratized, enabling quality control without prohibitive investment. This contribution bridges the divide between high-end automation and practical, real-world manufacturing needs. With 3 citations to date, his work is gaining traction among engineers and researchers seeking scalable, cost-effective inspection technologies. Ding’s research underscores a commitment to making automation inclusive, proving that even niche applications—like screw inspection—can benefit from tailored, intelligent systems. His achievements highlight a pragmatic approach to Industry 4.0, where accessibility and efficiency converge to empower industries often overlooked by mainstream automation advances.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Low-Cost Automated Visual Screw Inspection System
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Ningbo University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago