Yachun Mao

Northeastern University

Papers

4

Total Citations

10

H-Index

2

About

Yachun Mao is a leading researcher in geodetic engineering and mining safety, specializing in high-precision surveying techniques for slope and dump stability monitoring. Her work addresses critical challenges in open-pit mining, where environmental factors like atmospheric refraction, blasting vibration, and data noise compromise measurement accuracy. Mao’s most cited paper (2022, 4 citations) introduces a high-precision trigonometric leveling method corrected by an atmospheric refraction coefficient model, significantly improving the accuracy of electronic surveying robots. She has also developed robust models for gross error elimination (2014, 2 citations) and data de-noising (2015, 2 citations) for 3D monitoring systems, ensuring reliable real-time slope surveillance. In a notable case study (2016, 2 citations), Mao jointly applied Differential Interferometric Synthetic Aperture Radar (DInSAR) with ground measurements to assess dump stability, demonstrating an integrated approach for landslide risk mitigation. Though her citation counts are modest, her contributions are highly practical, directly enhancing safety and precision in mining operations. Mao’s work is essential reading for engineers and researchers focused on deformation monitoring, surveying robotics, and geohazard prevention in complex terrains.

Research Focus

Key Achievements

2
H-Index
4
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
High-Precision Trigonometric Leveling Based on Correction with Atmospheric Refraction Coefficient Model
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Northeastern University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago