| Application of long short-term memory (LSTM) neural network for flood forecasting XH Le, HV Ho, G Lee, S Jung Water 11 (7), 1387, 2019 | 818 | 2019 |
| Three-dimensional, time-dependent modeling of rainfall-induced landslides over a digital landscape: a case study TV Tran, M Alvioli, G Lee, HU An Landslides 15, 1071-1084, 2018 | 109 | 2018 |
| Comparison of deep learning techniques for river streamflow forecasting XH Le, DH Nguyen, S Jung, M Yeon, G Lee IEEE Access 9, 71805-71820, 2021 | 103 | 2021 |
| Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow H An, TT Viet, G Lee, Y Kim, M Kim, S Noh, J Noh Environmental modelling & software 85, 172-183, 2016 | 70 | 2016 |
| Effect of digital elevation model resolution on shallow landslide modeling using TRIGRS TT Viet, G Lee, TM Thu, HU An Natural Hazards Review 18 (2), 04016011, 2017 | 64 | 2017 |
| Large-scale flood-inundation modeling in the Mekong River Basin S Try, G Lee, W Yu, C Oeurng, C Jang Journal of Hydrologic Engineering 23 (7), 05018011, 2018 | 58 | 2018 |
| Prediction of water level in a tidal river using a deep-learning based LSTM model S Jung, H Cho, J Kim, G Lee Journal of Korea Water Resources Association 51 (12), 1207-1216, 2018 | 54 | 2018 |
| Application of convolutional neural network for spatiotemporal bias correction of daily satellite-based precipitation XH Le, G Lee, K Jung, H An, S Lee, Y Jung Remote Sensing 12 (17), 2731, 2020 | 50 | 2020 |
| Catchment-scale soil erosion and sediment yield simulation using a spatially distributed erosion model G Lee, W Yu, K Jung, ... Environmental earth sciences 70, 33-47, 2013 | 50 | 2013 |
| Assessing the effects of climate change on flood inundation in the lower Mekong Basin using high-resolution AGCM outputs S Try, S Tanaka, K Tanaka, T Sayama, G Lee, C Oeurng Progress in Earth and Planetary Science 7, 1-16, 2020 | 47 | 2020 |
| Comparing the performance of TRIGRS and TiVaSS in spatial and temporal prediction of rainfall-induced shallow landslides TV Tran, G Lee, H An, M Kim Environmental Earth Sciences 76, 1-16, 2017 | 47 | 2017 |
| Future runoff analysis in the Mekong river basin under a climate change scenario using deep learning D Lee, G Lee, S Kim, S Jung Water 12 (6), 1556, 2020 | 40 | 2020 |
| Application of random forest algorithm for merging multiple satellite precipitation products across South Korea GV Nguyen, XH Le, LN Van, S Jung, M Yeon, G Lee Remote Sensing 13 (20), 4033, 2021 | 39 | 2021 |
| Application of long short-term memory (LSTM) neural network for flood forecasting, Water, 11, 1387 XH Le, HV Ho, G Lee, S Jung | 35 | 2019 |
| Comparison of physics-based and data-driven models for streamflow simulation of the Mekong river G Lee, S Jung, D Lee Journal of Korea Water Resources Association 51 (6), 503-514, 2018 | 35 | 2018 |
| Effect of extreme rainfall on cut slope stability: case study in Yen Bai City, Viet Nam MT Trinh, G Lee, S Oh, THV Nguyen Journal of the Korean GEO-environmental Society 16 (4), 23-32, 2015 | 28 | 2015 |
| Analysis of an open source quadtree grid shallow water flow solver for flood simulation H An, S Yu, G Lee, Y Kim Quaternary International 384, 118-128, 2015 | 26 | 2015 |
| Shallow landslide assessment considering the influence of vegetation cover G Lee, M Kim 한국지반환경공학회 논문집 17 (4), 17-31, 2016 | 25 | 2016 |
| Interaction between topographic and process parameters due to the spatial resolution of DEMs in distributed rainfall-runoff modeling G Lee, Y Tachikawa, K Takara Journal of Hydrologic Engineering 14 (10), 1059-1069, 2009 | 24 | 2009 |
| Hydrological assessment of basin development scenarios: Impacts on the Tonle Sap Lake in Cambodia W Yu, Y Kim, D Lee, G Lee Quaternary International 503, 115-127, 2019 | 23 | 2019 |
Sunmin KimGraduate School of Engineering, Kyoto UniversityVerified email at kyoto-u.ac.jp
Sunmin KimGraduate School of Engineering, Kyoto UniversityVerified email at kyoto-u.ac.jp