Hongqi Xiong

Papers

Total Citations

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About

Hongqi Xiong is a researcher whose work centers on geotechnical monitoring and surveying engineering, with a particular focus on improving the accuracy and reliability of data collected from automated systems. His key research areas include deformation monitoring, noise reduction in surveying data, and the application of robotic total stations in open-pit slope stability assessment. Xiong’s major contribution lies in developing methods to de-noise basic monitoring data—such as azimuth, vertical angle, and distance measurements—collected by surveying robots like the TCA2003. By addressing the inherent noise caused by environmental and instrumental factors, his work enhances the precision of three-dimensional online monitoring systems critical for early warning in mining operations. His most-cited paper, “De-noise of Online Monitoring Basic Data Collected by Surveying Robots” (2015), has garnered 2 citations, reflecting its niche but practical impact on field practitioners. While his citation count is modest, Xiong’s research addresses a fundamental challenge in geotechnical engineering: ensuring that raw data from automated sensors is trustworthy for slope failure prediction. His efforts contribute to safer mining practices and more robust monitoring frameworks, making his work valuable for engineers and researchers seeking to refine data quality in real-world applications.