| Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization D Li, Z Liu, P Xiao, J Zhou, DJ Armaghani Underground Space 7 (5), 833-846, 2022 | 43 | 2022 |
| Novel ensemble intelligence methodologies for rockburst assessment in complex and variable environments D Li, Z Liu, DJ Armaghani, P Xiao, J Zhou Scientific reports 12 (1), 1844, 2022 | 37 | 2022 |
| Novel ensemble tree solution for rockburst prediction using deep forest D Li, Z Liu, DJ Armaghani, P Xiao, J Zhou Mathematics 10 (5), 787, 2022 | 33 | 2022 |
| Rock Strength Estimation Using Several Tree-Based ML Techniques. Z Liu, DJ Armaghani, P Fakharian, D Li, DV Ulrikh, NN Orekhova, ... CMES-Computer Modeling in Engineering & Sciences 133 (3), 2022 | 27 | 2022 |
| A novel method of multitype hybrid rock lithology classification based on convolutional neural networks D Li, J Zhao, Z Liu Sensors 22 (4), 1574, 2022 | 13 | 2022 |
| Experimental studies on physical and mechanical behaviors of heated rocks with pre-fabricated hole exposed to different cooling rates D Li, X Su, F Gao, Z Liu Geomechanics and Geophysics for Geo-Energy and Geo-Resources 8 (4), 125, 2022 | 10 | 2022 |
| Prediction of uniaxial compressive strength of rock based on lithology using stacking models Z Liu, D Li, Y Liu, B Yang, ZX Zhang Rock Mechanics Bulletin 2 (4), 100081, 2023 | 4 | 2023 |
