Standout Papers

Interpretable Ensemble-Machine-Learning models for predicting creep behavior of concrete 2021 2026 2022 2024193
  1. Interpretable Ensemble-Machine-Learning models for predicting creep behavior of concrete (2021)
    Minfei Liang, Ze Chang et al. Cement and Concrete Composites

Immediate Impact

2 from Science/Nature 50 standout
Sub-graph 1 of 24

Citing Papers

Reusing waste clay brick powder for low-carbon cement concrete and alkali-activated concrete: A critical review
2024 Standout
Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
2024 Standout
2 intermediate papers

Works of Minfei Liang being referenced

Microstructure-informed deep convolutional neural network for predicting short-term creep modulus of cement paste
2021
Interpretable Ensemble-Machine-Learning models for predicting creep behavior of concrete
2021 Standout

Author Peers

Author Last Decade Papers Cites
Minfei Liang 309 430 150 274 28 822
HU Shi-sheng 305 381 52 74 55 943
Xiaofei Yao 178 205 112 99 66 686
Yuliang Lin 488 382 54 36 61 947
Bing Ma 121 691 10 321 31 877
Colin Gagg 367 326 217 19 25 873
Muhammad M. Sherif 481 190 199 28 34 829
Saubhagya Kumar Panigrahi 677 196 392 46 49 965
Rui Fan 63 487 89 59 46 739
Aamir Dean 194 417 112 62 36 962
Mihir Kumar Pandit 470 220 44 70 43 884

All Works

Loading papers...

Rankless by CCL
2026