| 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 | 109 | 2021 |
| 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 | 90 | 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 | 89 | 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 | 77 | 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 | 74 | 2019 |
| Multi-sensor real-time monitoring of dam behavior using self-adaptive online sequential learning Q Ren, M Li, T Kong, J Ma Automation in Construction 140, 104365, 2022 | 56 | 2022 |
| 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 | 56 | 2019 |
| 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 | 54 | 2022 |
| 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 | 51 | 2019 |
| 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 | 47 | 2021 |
| 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 | 43 | 2023 |
| 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 | 42 | 2019 |
| A hybrid approach for interval prediction of concrete dam displacements under uncertain conditions Q Ren, M Li, R Kong, Y Shen, S Du Engineering with Computers 39 (2), 1285-1303, 2023 | 30 | 2023 |
| Loading capacity prediction and optimization of cold-formed steel built-up section columns based on machine learning methods L Xiao, QY Li, H Li, Q Ren Thin-Walled Structures 180, 109826, 2022 | 30 | 2022 |
| Automated pixel-level crack detection and quantification using deep convolutional neural networks for structural condition assessment J Yuan, Q Ren, C Jia, J Zhang, J Fu, M Li Structures 59, 105780, 2024 | 24 | 2024 |
| A new interval prediction method for displacement behavior of concrete dams based on gradient boosted quantile regression Q Ren, M Li, Y Shen Structural Control and Health Monitoring 29 (1), e2859, 2022 | 24 | 2022 |
| Thermal deformation coordination analysis of CC-RCC combined dam structure during construction and operation periods M Li, W Si, S Du, M Zhang, Q Ren, Y Shen Engineering Structures 213, 110587, 2020 | 24 | 2020 |
| An integrated method for evaluating and predicting long-term operation safety of concrete dams considering lag effect M Li, W Si, Q Ren, L Song, H Liu Engineering with computers 37, 2505-2519, 2021 | 23 | 2021 |
| Experimental and upper-bound study of the influence of soilbag tail length on the reinforcement effect in soil slopes YQ Wang, K Liu, X Li, QB Ren, LL Li, ZH Zhang, MC Li Geotextiles and Geomembranes 47 (5), 610-617, 2019 | 21 | 2019 |
| Towards online monitoring of concrete dam displacement subject to time-varying environments: An improved sequential learning approach Q Ren, H Li, M Li, J Zhang, T Kong Advanced Engineering Informatics 55, 101881, 2023 | 20 | 2023 |
Mingchao LiTianjin University確認したメール アドレス: tju.edu.cn