Houguang Sun

Institute of Mining

Papers

1

Total Citations

2

H-Index

1

About

Houguang Sun is a researcher focused on geotechnical monitoring and surveying engineering, with particular expertise in the application of robotic total stations for slope stability assessment in open-pit mining environments. His work addresses critical challenges in the de-noising and accuracy enhancement of basic monitoring data—specifically azimuth, vertical angle, and distance measurements—collected by surveying robots like the TCA2003. Sun’s most cited paper, "De-noise of Online Monitoring Basic Data Collected by Surveying Robots" (2015), tackles the pervasive issue of noise contamination in three-dimensional online monitoring systems, which are essential for early warning and safety in large-scale excavations. While his citation count is modest, his contributions are practically significant for improving the reliability of automated deformation monitoring in harsh field conditions. Sun’s research bridges the gap between precision instrumentation and real-world environmental interference, offering methodological insights that support safer mining operations. His work is particularly relevant for engineers and researchers developing robust data processing pipelines for continuous geodetic monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
De-noise of Online Monitoring Basic Data Collected by Surveying Robots
2 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Institute of Mining

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago