Hua Jun Xiao

Papers

1

Total Citations

2

H-Index

1

About

Hua Jun Xiao is a researcher specializing in non-destructive testing (NDT) and structural health monitoring, with a particular focus on acoustic inspection methods for concrete structures. His work centers on advancing impact-sounding techniques—a traditional NDT approach—by integrating automatic signal processing and reconstruction algorithms to detect subsurface flaws and embedded objects. In his most-cited paper, "Automatic Impact-sounding Acoustic Inspection of Concrete Structure" (2021), Xiao addresses a key challenge in the field: the reliable detection and imaging of hidden defects beneath concrete surfaces. By leveraging the information contained in impact-sounding signals, he proposes methods to improve the accuracy and automation of structural integrity assessments. Though his citation count is currently modest, his research contributes to the growing demand for efficient, non-invasive inspection technologies in civil engineering. Xiao’s work is particularly relevant for students and researchers interested in the intersection of acoustics, signal processing, and infrastructure safety, offering a foundation for future innovations in automated NDT systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Impact-sounding Acoustic Inspection of Concrete Structure
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago