| Numerical and experimental study on debris-flow breaker Y Kim, H NAKAGAWA, K KAWAIKE, H ZHANG 京都大学防災研究所年報. B 55 (B), 471-481, 2012 | 15 | 2012 |
| Study on characteristic analysis of closed-type Sabo dam with a flap due to dynamic force of debris flow Y Kim, H NAKAGAWA, K KAWAIKE, H ZHANG 京都大学防災研究所年報. B 56 (B), 503-522, 2013 | 11 | 2013 |
| Study on prediction of similar typhoons through neural network optimization YJ Kim, TW Kim, JS Yoon, IH Kim Journal of Ocean Engineering and Technology 33 (5), 427-434, 2019 | 9 | 2019 |
| Study of the construction of a coastal disaster prevention system using deep learning YJ Kim, TW Kim, JS Yoon, MK Kim Journal of Ocean Engineering and Technology 33 (6), 590-596, 2019 | 8 | 2019 |
| Study on hydraulic characteristics of debris flow breakers and sabo dams with a flap Y Kim 京都大学 (Kyoto University), 2013 | 7 | 2013 |
| Study on storm surge using parametric model with geographical characteristics Y Kim, T Kim, J Yoon Water 12 (8), 2251, 2020 | 6 | 2020 |
| Study on hydraulic characteristics of sabo dam with a flap structure for debris flow Y Kim, H Nakagawa, K Kawaike, H Zhang International journal of sediment research 32 (3), 452-464, 2017 | 6 | 2017 |
| Prediction of a debris flow flooding caused by probable maximum precipitation. YJ Kim, JS Yoon, T Kohji, DS Hur Journal of Korea water resources association 48 (2), 115-126, 2015 | 6 | 2015 |
| A study on the behavior of floating debris and fresh water diffusion according to discharge of Namgang Dam YJ Kim, JS Yoon Journal of Ocean Engineering and Technology 23 (2), 37-46, 2009 | 6 | 2009 |
| Debris flow prevention countermeasures with urban inundation in a multihazard-Environment YJ KIM, K TANAKA, H NAKASHIMA, E NAKAKITA International Journal of Erosion Control Engineering 9 (2), 58-67, 2016 | 5 | 2016 |
| Study on the function of a closed-type sabo dam with a flap for debris flow Y Kim, H Nakagawa, K Kawaike, H Zhang Proceedings of the 12th International Symposium River Sedimentation, 1945-1954, 2013 | 5 | 2013 |
| Measurement of debris flow velocity in flume using normal image by space-time image velocimetry incorporated with machine learning Y Kim, I Fujita, M Hasegawa, J Yoon Measurement 199, 111218, 2022 | 4 | 2022 |
| Prediction of shoreline change for the calculation of the integrated littoral sediment budget YJ Kim, JS Yoon Water 14 (2), 232, 2022 | 4 | 2022 |
| Study on the sandbar collapse in an Estuary TW Kim, YJ Kim, JS Yoon, MK Kim Journal of Coastal Disaster Prevention 7 (4), 267-273, 2020 | 4 | 2020 |
| Study on impact force of debris flow due to variable of check dam shape Y Kim, H Nakagawa, K Kawaike, H Zhang Journal of Disaster Research 8 (1), 195-196, 2013 | 4 | 2013 |
| Numerical analysis of debris flow deposition on breaker structure Y Kim, H Nakagawa, K Kawaike, H Zhang Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering …, 2012 | 4 | 2012 |
| Development of disaster prevention system based on deep neural network using deep learning with dropout Y Kim, E Yura, T Kim, J Yoon Journal of Coastal Research 91 (SI), 186-190, 2019 | 3 | 2019 |
| Study of formation and development of oxygen deficient water mass, using ecosystem model in Jinhae, Masan Bay YJ Kim, MK Kim, JS Yoon Journal of Ocean Engineering and Technology 24 (6), 41-50, 2010 | 3 | 2010 |
| Planar Installation Characteristics of Crown Depth-Variable Artificial Coral Reef on Improving Coastal Resilience: A 3D Large-Scale Experiment S Hong, S Baek, Y Kim, J Lee, A Prasetyo, W Kim, S Kwon Water 13 (11), 1526, 2021 | 2 | 2021 |
| Possibility of Wave Prediction by Deep Learning THA Tom, H Mase, M Hasegawa, JH Jeong, JS Yoon, YJ Kim Journal of Coastal Disaster Prevention 7 (4), 195-201, 2020 | 2 | 2020 |
Hajime MaseResearch Professor, Kyoto UniversityVerified email at kyoto-u.ac.jp
