Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series Y Zhang, X Meng, C Jordan, A Novellino, T Dijkstra, G Chen Landslides 15, 1299-1315, 2018 | 133 | 2018 |
Forecasting the magnitude of potential landslides based on InSAR techniques Y Zhang, XM Meng, TA Dijkstra, CJ Jordan, G Chen, RQ Zeng, ... Remote Sensing of Environment 241, 111738, 2020 | 110 | 2020 |
Detection of land subsidence associated with land creation and rapid urbanization in the chinese loess plateau using time series insar: A case study of Lanzhou new district G Chen, Y Zhang, R Zeng, Z Yang, X Chen, F Zhao, X Meng Remote Sensing 10 (2), 270, 2018 | 108 | 2018 |
Characterizing hydrological processes on loess slopes using electrical resistivity tomography–A case study of the Heifangtai Terrace, Northwest China RQ Zeng, XM Meng, FY Zhang, SY Wang, ZJ Cui, MS Zhang, Y Zhang, ... Journal of Hydrology 541, 742-753, 2016 | 104 | 2016 |
Landslide susceptibility mapping of karakorum highway combined with the application of SBAS-InSAR technology F Zhao, X Meng, Y Zhang, G Chen, X Su, D Yue Sensors 19 (12), 2685, 2019 | 96 | 2019 |
Detection of geohazards in the Bailong River Basin using synthetic aperture radar interferometry Y Zhang, X Meng, G Chen, L Qiao, R Zeng, J Chang Landslides 13, 1273-1284, 2016 | 84 | 2016 |
Response of a loess landslide to rainfall: observations from a field artificial rainfall experiment in Bailong River Basin, China G Chen, X Meng, L Qiao, Y Zhang, S Wang Landslides 15, 895-911, 2018 | 74 | 2018 |
A comparative study of landslide susceptibility mapping using weight of evidence, logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring: Zhouqu … Z Xie, G Chen, X Meng, Y Zhang, L Qiao, L Tan Environmental Earth Sciences 76, 1-19, 2017 | 67 | 2017 |
AI-based identification of low-frequency debris flow catchments in the Bailong River basin, China Y Zhao, X Meng, T Qi, F Qing, M Xiong, Y Li, P Guo, G Chen Geomorphology 359, 107125, 2020 | 60 | 2020 |
Effectiveness of debris flow mitigation strategies in mountainous regions M Xiong, X Meng, S Wang, P Guo, Y Li, G Chen, F Qing, Z Cui, Y Zhao Progress in Physical Geography 40 (6), 768-793, 2016 | 53 | 2016 |
白龙江流域滑坡泥石流灾害研究进展与展望 孟兴民, 陈冠, 郭鹏, 熊木齐 海洋地质与第四纪地质 33 (4), 1-15, 2013 | 52 | 2013 |
Effects of vegetation on debris flow mitigation: A case study from Gansu province, China S Wang, X Meng, G Chen, P Guo, M Xiong, R Zeng Geomorphology 282, 64-73, 2017 | 43 | 2017 |
Research of landslides and debris flows in bailong river basin: progrss and prospect X Meng, G Chen, P Guo, M Xiong, W Janusz Marine Geology & Quaternary Geology 33 (4), 1, 2013 | 43 | 2013 |
Distribution and characteristics of large landslides in a fault zone: A case study of the NE Qinghai-Tibet Plateau T Qi, X Meng, F Qing, Y Zhao, W Shi, G Chen, Y Zhang, Y Li, D Yue, X Su, ... Geomorphology 379, 107592, 2021 | 42 | 2021 |
A sensitivity study of applying a two‐source potential evapotranspiration model in the standardized precipitation evapotranspiration index for drought monitoring B Zhang, Z Wang, G Chen Land degradation & development 28 (2), 783-793, 2017 | 37 | 2017 |
白龙江流域基于 GIS 与信息量模型的滑坡危险性等级区划 陈冠, 孟兴民, 郭鹏, 李亚军, 曾润强, 乔良 兰州大学学报 (自然科学版) 47 (6), 1-6, 2011 | 36 | 2011 |
Effect of large dams and irrigation in the upper reaches of the Yellow River of China, and the geohazards burden P Guo, X Meng, Y Li, G Chen, R Zeng, L Qiao Proceedings of the Geologists' Association 126 (3), 367-376, 2015 | 35 | 2015 |
AI-based rainfall prediction model for debris flows Y Zhao, X Meng, T Qi, Y Li, G Chen, D Yue, F Qing Engineering Geology 296, 106456, 2022 | 33 | 2022 |
Prediction of river damming susceptibility by landslides based on a logistic regression model and InSAR techniques: A case study of the Bailong River Basin, China J Jin, G Chen, X Meng, Y Zhang, W Shi, Y Li, Y Yang, W Jiang Engineering Geology 299, 106562, 2022 | 30 | 2022 |
Ai-based susceptibility analysis of shallow landslides induced by heavy rainfall in Tianshui, China T Qi, Y Zhao, X Meng, G Chen, T Dijkstra Remote Sensing 13 (9), 1819, 2021 | 28 | 2021 |