Zhouhui Shen 
- (2024): Toward the balance between computational cost and model performance for the void detection of concrete-filled steel tubular structure using one-dimensional Mel-frequency cepstral coefficients and ensemble machine learning. In: Construction and Building Materials, v. 411 (Januar 2024).
- (2023): Percussion-based quasi real-time void detection for concrete-filled steel tubular structures using dense learned features. In: Engineering Structures, v. 274 (Januar 2023).
- (2022): Coda wave interferometry-based very early stage bolt looseness monitoring using a single piezoceramic transducer. In: Smart Materials and Structures, v. 31, n. 3 (4 Februar 2022).
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