| Hybrid ANN–GA model for predicting turbidity and chlorophyll-a concentrations IE Mulia, H Tay, K Roopsekhar, P Tkalich Journal of Hydro-Environment Research 7 (4), 279-299, 2013 | 68 | 2013 |
| Tsunami data assimilation of Cascadia seafloor pressure gauge records from the 2012 Haida Gwaii earthquake AR Gusman, AF Sheehan, K Satake, M Heidarzadeh, IE Mulia, T Maeda Geophysical Research Letters 43 (9), 4189-4196, 2016 | 65 | 2016 |
| Regional probabilistic tsunami hazard assessment associated with active faults along the eastern margin of the Sea of Japan IE Mulia, T Ishibe, K Satake, AR Gusman, S Murotani Earth, Planets and Space 72, 1-15, 2020 | 37 | 2020 |
| Optimal design for placements of tsunami observing systems to accurately characterize the inducing earthquake IE Mulia, AR Gusman, K Satake Geophysical Research Letters 44, 106–12, 2017 | 37 | 2017 |
| Preparing for the Future Nankai Trough Tsunami: A Data Assimilation and Inversion Analysis From Various Observational Systems IE Mulia, D Inazu, T Waseda, AR Gusman Journal of Geophysical Research: Oceans 122, 7924–7937, 2017 | 32 | 2017 |
| Optimum sea surface displacement and fault slip distribution of the 2017 Tehuantepec earthquake (Mw 8.2) in Mexico estimated from tsunami waveforms AR Gusman, IE Mulia, K Satake Geophysical Research Letters 45 (2), 646-653, 2018 | 31 | 2018 |
| A tsunami warning system based on offshore bottom pressure gauges and data assimilation for Crete Island in the Eastern Mediterranean Basin Y Wang, M Heidarzadeh, K Satake, IE Mulia, M Yamada Journal of Geophysical Research: Solid Earth 125 (10), e2020JB020293, 2020 | 29 | 2020 |
| Real-time forecasting of near-field tsunami waveforms at coastal areas using a regularized extreme learning machine IE Mulia, T Asano, A Nagayama Coastal Engineering 109, 1-8, 2016 | 27 | 2016 |
| Developments of tsunami observing systems in Japan IE Mulia, K Satake Frontiers in Earth Science 8, 145, 2020 | 26 | 2020 |
| Potential deployment of offshore bottom pressure gauges and adoption of data assimilation for tsunami warning system in the western Mediterranean Sea M Heidarzadeh, Y Wang, K Satake, IE Mulia Geoscience Letters 6 (1), 19, 2019 | 25 | 2019 |
| Initial tsunami source estimation by inversion with an intelligent selection of model parameters and time delays IE Mulia, T Asano Journal of Geophysical Research Oceans 121, 441–456, 2016 | 25 | 2016 |
| An optimized array configuration of tsunami observation network off Southern Java, Indonesia IE Mulia, AR Gusman, AL Williamson, K Satake Journal of Geophysical Research: Solid Earth 124 (9), 9622-9637, 2019 | 23 | 2019 |
| Alternative to nonlinear model for simulating tsunami inundation in real-time IE Mulia, AR Gusman, K Satake Geophysical Journal International 214 (3), 2002-2013, 2018 | 23 | 2018 |
| Machine learning-based tsunami inundation prediction derived from offshore observations IE Mulia, N Ueda, T Miyoshi, AR Gusman, K Satake Nature Communications 13 (1), 5489, 2022 | 22 | 2022 |
| Estimate of tsunami source using optimized unit sources and including dispersion effects during tsunami propagation: The 2012 Haida Gwaii earthquake AR Gusman, IE Mulia, K Satake, S Watada, M Heidarzadeh, AF Sheehan Geophysical Research Letters 43 (18), 9819-9828, 2016 | 21 | 2016 |
| Simulation of the 2018 tsunami due to the flank failure of Anak Krakatau volcano and implication for future observing systems IE Mulia, S Watada, TC Ho, K Satake, Y Wang, A Aditiya Geophysical Research Letters 47 (14), e2020GL087334, 2020 | 18 | 2020 |
| Applying a deep learning algorithm to tsunami inundation database of megathrust earthquakes IE Mulia, AR Gusman, K Satake Journal of Geophysical Research: Solid Earth 125 (e2020JB019690), 2020 | 17 | 2020 |
| Advanced tsunami detection and forecasting by radar on unconventional airborne observing platforms IE Mulia, T Hirobe, D Inazu, T Endoh, Y Niwa, AR Gusman, H Tatehata, ... Scientific reports 10 (1), 2412, 2020 | 17 | 2020 |
| Decision support system for predicting tsunami characteristics along coastline areas based on database modelling development I Hadihardaja, H Latief, IE Mulia Journal of Hydroinformatics 13 (1), 96-109, 2011 | 15 | 2011 |
| Synthetic analysis of the efficacy of the S-net system in tsunami forecasting IE Mulia, K Satake Earth, Planets and Space 73, 1-11, 2021 | 14 | 2021 |
Kenji SatakeEarthquake Research Institute, University of Tokyo在 eri.u-tokyo.ac.jp 的电子邮件经过验证
