Immediate Impact
23 standout
Citing Papers
Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials
2025 Standout
An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete
2025 Standout
Works of Xiaoyan Han being referenced
A state-of-the-art review of concrete strength detection/monitoring methods: With special emphasis on PZT transducers
2022
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Xiaoyan Han | 214 | 171 | 28 | 19 | 247 | |
| Ting Du | 196 | 125 | 27 | 22 | 289 | |
| Genquan Zhong | 266 | 118 | 13 | 23 | 296 | |
| Mingjie Mao | 247 | 100 | 24 | 23 | 284 | |
| Juan Carlos Arteaga‐Arcos | 129 | 65 | 10 | 22 | 220 | |
| Chung‐Chia Yang | 229 | 69 | 29 | 29 | 287 | |
| Shu Yang | 253 | 61 | 45 | 27 | 286 | |
| Marianela Ripani | 271 | 119 | 45 | 16 | 293 | |
| M. D. A. Thomas | 240 | 79 | 13 | 18 | 278 | |
| S.K. Duggal | 195 | 188 | 19 | 15 | 285 | |
| Harry G. Harris | 264 | 181 | 28 | 12 | 294 |
All Works
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