Immediate Impact

23 standout
Sub-graph 1 of 10

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
1 intermediate paper

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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Rankless by CCL
2026