Wenquan Deng

Papers

1

Total Citations

3

H-Index

1

About

Wenquan Deng is a researcher specializing in robotics and positioning technologies, with a particular focus on pipeline inspection and maintenance systems. His most cited work, "Study on LBS-based Positioning Technique of Pipeline Robot" (2019), introduces an innovative approach to enhancing the localization accuracy of autonomous pipeline robots using location-based services (LBS). This contribution addresses critical challenges in underground infrastructure monitoring, where traditional GPS signals are unavailable. While his citation count remains modest at 3 for this paper, the work represents a foundational step in integrating LBS with robotic navigation for confined environments. Deng’s research bridges the gap between mobile computing and mechanical engineering, offering practical solutions for industrial automation and smart city infrastructure. His efforts contribute to the broader goal of developing more reliable, cost-effective pipeline inspection systems, which are vital for preventing leaks and ensuring safety in oil, gas, and water distribution networks. As the field of robotic positioning evolves, Deng’s work provides a valuable reference for researchers exploring hybrid localization methods in GPS-denied settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Study on LBS-based Positioning Technique of Pipeline Robot
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago