Analyzing the risk of safety accidents: The relative risks of migrant workers in construction industry JM Kim, K Son, SG Yum, S Ahn Sustainability 12 (13), 5430, 2020 | 37 | 2020 |
Development of model to predict natural disaster-induced financial losses for construction projects using deep learning techniques JM Kim, J Bae, S Son, K Son, SG Yum Sustainability 13 (9), 5304, 2021 | 28 | 2021 |
Assessing the risk of natural disaster-induced losses to tunnel-construction projects using empirical financial-loss data from South Korea SG Yum, S Ahn, J Bae, JM Kim Sustainability 12 (19), 8026, 2020 | 22 | 2020 |
Identifying risk indicators for natural hazard-related power outages as a component of risk assessment: An analysis using power outage data from hurricane Irma SG Yum, K Son, S Son, JM Kim Sustainability 12 (18), 7702, 2020 | 20 | 2020 |
Development of vulnerability curves of buildings to windstorms using insurance data: An empirical study in South Korea SG Yum, JM Kim, HH Wei Journal of Building Engineering 34, 101932, 2021 | 18 | 2021 |
Measuring Vulnerability of Typhoon in Residential Facilities: Focusing on Typhoon Maemi in South Korea JM Kim, T Kim, K Son, SG Yum, S Ahn Sustainability 11 (10), 2768, 2019 | 17 | 2019 |
Typhoon vulnerability analysis in South Korea utilizing damage record of typhoon Maemi JM Kim, K Son, SG Yum, S Ahn Advances in Civil Engineering 2020 (1), 8885916, 2020 | 14 | 2020 |
Modeling deep neural networks to learn maintenance and repair costs of educational facilities J Kim, S Yum, S Son, K Son, J Bae Buildings 11 (4), 165, 2021 | 12 | 2021 |
A deep learning model development to predict safety accidents for sustainable construction: a case study of fall accidents in South Korea JM Kim, KK Lim, SG Yum, S Son Sustainability 14 (3), 1583, 2022 | 11 | 2022 |
A deep learning algorithm-driven approach to predicting repair costs associated with natural disaster indicators: The case of accommodation facilities JM Kim, SG Yum, H Park, J Bae Journal of Building Engineering 42, 103098, 2021 | 11 | 2021 |
Natural hazard influence model of maintenance and repair cost for sustainable accommodation facilities SG Yum, JM Kim, K Son Sustainability 12 (12), 4994, 2020 | 11 | 2020 |
Dynamic landslide susceptibility analysis that combines rainfall period, accumulated rainfall, and geospatial information JJ Lee, MS Song, HS Yun, SG Yum Scientific Reports 12 (1), 18429, 2022 | 9 | 2022 |
Toward Multi-Functional Road Surface Design with the Nanocomposite Coating of Carbon Nanotube Modified Polyurethane: Lab-Scale Experiments SG Yum, H Yin, SH Jang Nanomaterials 10 (10), 1905, 2020 | 9 | 2020 |
A quantitative analysis of multi-decadal shoreline changes along the East Coast of South Korea SG Yum, S Park, JJ Lee, MD Adhikari Science of The Total Environment 876, 162756, 2023 | 7 | 2023 |
Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis JM Kim, SG Yum, H Park, J Bae Natural Hazards and Earth System Sciences 22 (6), 2131-2144, 2022 | 7 | 2022 |
Estimation of the non-exceedance probability of extreme storm surges in South Korea using tidal-gauge data SG Yum, HH Wei, SH Jang Natural Hazards and Earth System Sciences 2121 (88), 2611-2631, 2021 | 6 | 2021 |
Harnessing machine learning for classifying economic damage trends in transportation infrastructure projects J Bae, SG Yum, JM Kim Sustainability 13 (11), 6376, 2021 | 6 | 2021 |
Predicting financial losses due to apartment construction accidents utilizing deep learning techniques JM Kim, J Bae, H Park, SG Yum Scientific reports 12 (1), 5365, 2022 | 5 | 2022 |
Suitable site selection for the development of solar based smart hydrogen energy plant in the Gangwon-do region, South Korea using big data: A geospatial approach SG Yum, MD Adhikari International Journal of Hydrogen Energy 48 (93), 36295-36313, 2023 | 4 | 2023 |
Assessing Typhoon Soulik-induced morphodynamics over the Mokpo coastal region in South Korea based on a geospatial approach SG Yum, MS Song, MD Adhikari Natural Hazards and Earth System Sciences 23 (7), 2449-2474, 2023 | 4 | 2023 |