| Automatic identification and classification in lithology based on deep learning in rock images Y Zhang, M Li, S Han Yanshi Xuebao/Acta Petrologica Sinica 34 (2), 333-342, 2018 | 87 | 2018 |
| Data mining approach to construction productivity prediction for cutter suction dredgers S Bai, M Li, R Kong, S Han, H Li, L Qin Automation in Construction 105, 102833, 2019 | 76 | 2019 |
| Intelligent identification for rock-mineral microscopic images using ensemble machine learning algorithms Y Zhang, M Li, S Han, Q Ren, J Shi Sensors 19 (18), 3914, 2019 | 68 | 2019 |
| On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach D Tian, M Li, J Shi, Y Shen, S Han Advanced Engineering Informatics 49, 101355, 2021 | 47 | 2021 |
| Tectonic discrimination of olivine in basalt using data mining techniques based on major elements: a comparative study from multiple perspectives Q Ren, M Li, S Han Big Earth Data 3 (1), 8-25, 2019 | 47 | 2019 |
| Prediction of rock compressive strength using machine learning algorithms based on spectrum analysis of geological hammer Q Ren, G Wang, M Li, S Han Geotechnical and Geological Engineering 37, 475-489, 2019 | 44 | 2019 |
| Automated classification analysis of geological structures based on images data and deep learning model Y Zhang, G Wang, M Li, S Han Applied Sciences 8 (12), 2493, 2018 | 44 | 2018 |
| An enhanced rock mineral recognition method integrating a deep learning model and clustering algorithm C Liu, M Li, Y Zhang, S Han, Y Zhu Minerals 9 (9), 516, 2019 | 43 | 2019 |
| An enhanced ISODATA algorithm for recognizing multiple electric appliances from the aggregated power consumption dataset M Li, S Han, J Shi Energy and Buildings 140, 305-316, 2017 | 28 | 2017 |
| Measuring rock surface strength based on spectrograms with deep convolutional networks S Han, H Li, M Li, X Luo Computers & geosciences 133, 104312, 2019 | 21 | 2019 |
| Novel method of construction-efficiency evaluation of cutter suction dredger based on real-time monitoring data M Li, R Kong, S Han, G Tian, L Qin Journal of Waterway, Port, Coastal, and Ocean Engineering 144 (6), 05018007, 2018 | 20 | 2018 |
| An improved computing method for 3D mechanical connectivity rates based on a polyhedral simulation model of discrete fracture network in rock masses M Li, S Han, S Zhou, Y Zhang Rock Mechanics and Rock Engineering 51, 1789-1800, 2018 | 19 | 2018 |
| Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining D Tian, M Li, Q Ren, X Zhang, S Han, Y Shen Automation in construction 145, 104670, 2023 | 18 | 2023 |
| Estimation of seismic wave incident angle using vibration response data and stacking ensemble algorithm J Zhang, M Li, S Han, G Deng Computers and Geotechnics 137, 104255, 2021 | 16 | 2021 |
| Multi-pattern data mining and recognition of primary electric appliances from single non-intrusive load monitoring data S Du, M Li, S Han, J Shi, H Li Energies 12 (6), 992, 2019 | 14 | 2019 |
| Copula-based simulating and analyzing methods of rock mass fractures S Han, M Li, G Wang Computers and Geotechnics 127, 103779, 2020 | 13 | 2020 |
| Basalt tectonic discrimination using combined machine learning approach Q Ren, M Li, S Han, Y Zhang, Q Zhang, J Shi Minerals 9 (6), 376, 2019 | 13 | 2019 |
| Discriminating among tectonic settings of spinel based on multiple machine learning algorithms S Han, M Li, Q Ren Big Earth Data 3 (1), 67-82, 2019 | 13 | 2019 |
| A trace map comparison algorithm for the discrete fracture network models of rock masses S Han, G Wang, M Li Computers & geosciences 115, 31-41, 2018 | 13 | 2018 |
| Seismic analysis of gravity dam–layered foundation system subjected to earthquakes with arbitrary incident angles J Zhang, M Li, S Han International Journal of Geomechanics 22 (2), 04021279, 2022 | 12 | 2022 |
Mingchao LiTianjin UniversityVerified email at tju.edu.cn
