| Enhanced NURBS modeling and visualization for large 3D geoengineering applications: an example from the Jinping first-level hydropower engineering project, China DH Zhong, MC Li, LG Song, G Wang Computers & Geosciences 32 (9), 1270-1282, 2006 | 89 | 2006 |
| A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism Q Ren, M Li, H Li, Y Shen Advanced Engineering Informatics 50, 101407, 2021 | 81 | 2021 |
| 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 | 78 | 2019 |
| A new distributed time series evolution prediction model for dam deformation based on constituent elements M Li, Y Shen, Q Ren, H Li Advanced Engineering Informatics 39, 41-52, 2019 | 73 | 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 | 71 | 2019 |
| An optimized combination prediction model for concrete dam deformation considering quantitative evaluation and hysteresis correction Q Ren, M Li, L Song, H Liu Advanced Engineering Informatics 46, 101154, 2020 | 66 | 2020 |
| Prediction of ultimate axial capacity of square concrete-filled steel tubular short columns using a hybrid intelligent algorithm Q Ren, M Li, M Zhang, Y Shen, W Si Applied Sciences 9 (14), 2802, 2019 | 64 | 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 | 54 | 2021 |
| 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 | 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 | 47 | 2019 |
| Seepage and stress analysis of anti-seepage structures constructed with different concrete materials in an RCC gravity dam M Li, X Guo, J Shi, Z Zhu Water Science and Engineering 8 (4), 326-334, 2015 | 47 | 2015 |
| 3 D visual construction of complex engineering rock mass structure and its application. DH Zhong, MC Li, JM Yang Yanshilixue Yu Gongcheng Xuebao/Chin. J. Rock Mech. Eng. 24 (4), 575-580, 2005 | 47 | 2005 |
| 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 | 46 | 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 | 46 | 2018 |
| A robust prediction model for displacement of concrete dams subjected to irregular water‐level fluctuations Q Ren, M Li, H Li, L Song, W Si, H Liu Computer‐Aided Civil and Infrastructure Engineering 36 (5), 577-601, 2021 | 42 | 2021 |
| Multiple mechanical properties prediction of hydraulic concrete in the form of combined damming by experimental data mining M Zhang, M Li, Y Shen, Q Ren, J Zhang Construction and Building Materials 207, 661-671, 2019 | 40 | 2019 |
| Dam break threshold value and risk probability assessment for an earth dam D Zhong, Y Sun, M Li Natural hazards 59, 129-147, 2011 | 38 | 2011 |
| DRLSTM: A dual-stage deep learning approach driven by raw monitoring data for dam displacement prediction M Li, M Li, Q Ren, H Li, L Song Advanced Engineering Informatics 51, 101510, 2022 | 37 | 2022 |
| Digital twin-driven virtual sensor approach for safe construction operations of trailing suction hopper dredger M Li, Q Lu, S Bai, M Zhang, H Tian, L Qin Automation in Construction 132, 103961, 2021 | 35 | 2021 |
| Onset detection of ultrasonic signals for the testing of concrete foundation piles by coupled continuous wavelet transform and machine learning algorithms M Zhang, M Li, J Zhang, L Liu, H Li Advanced Engineering Informatics 43, 101034, 2020 | 35 | 2020 |
