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Sang‐Guk Yum

Observed names: Sang Guk Yum, Sang-Guk Yum, Sangguk Yum, Yum, Sang Guk
ORCID: 0000-0002-7784-2957
Observed ORCID: 0000-0002-7784-2957
OpenAlex ID: A5001074140
Development of Model to Predict Natural Disaster-Induced Financial Losses for Construction Projects Using Deep Learning Techniques
2021 · Ji-Myong Kim, Junseo Bae, et al. · Sustainability · 45
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Analyzing the Risk of Safety Accidents: The Relative Risks of Migrant Workers in Construction Industry
2020 · Ji-Myong Kim, Kiyoung Son, et al. · Sustainability · 45
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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
2023 · Sang-Guk Yum, Manik Das Adhikari · International Journal of Hydrogen Energy · 44
Dynamic Landslide Susceptibility Analysis that Combines Rainfall Period, Rainfall, and Geospatial Information
2022 · Jae-Joon Lee, Moon-Soo Song, et al. · Scientific Reports · 37
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Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings
2022 · Oluwatofunmi Deborah Aribisala, Sang-Guk Yum, et al. · Sustainability · 33
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A Deep Learning Model Development to Predict Safety Accidents for Sustainable Construction: A Case Study of Fall Accidents in South Korea
2022 · Ji-Myong Kim, Kwang-Kyun Lim, et al. · Sustainability · 31
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Assessing the Risk of Natural Disaster-Induced Losses to Tunnel-Construction Projects Using Empirical Financial-Loss Data from South Korea
2020 · Sang-Guk Yum, Sungjin Ahn, et al. · Sustainability · 31
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A deep-learning approach to leveraging natural hazard indicators for improved safety on construction sites
2024 · Ji-Myong Kim, Sang-Guk Yum, et al. · Safety Science · 30
Identifying Risk Indicators for Natural Hazard-Related Power Outages as a Component of Risk Assessment: An Analysis Using Power Outage Data from Hurricane Irma
2020 · Sang-Guk Yum, Kiyoung Son, et al. · Sustainability · 29
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Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis
2022 · Ji-Myong Kim, Sang-Guk Yum, et al. · Natural hazards and earth system sciences · 26
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Typhoon Vulnerability Analysis in South Korea Utilizing Damage Record of Typhoon Maemi
2020 · Ji-Myong Kim, Kiyoung Son, et al. · Advances in Civil Engineering · 26
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Experimental Evaluation on Blast Resistance of Reinforced Concrete Structures under Partially Confined Explosion
2024 · Youngjun Park, Kukjoo Kim, et al. · International Journal of Concrete Structures and Materials · 25
Establishment of Safety Management Measures for Major Construction Workers through the Association Rule Mining Analysis of the Data on Construction Accidents in Korea
2024 · Young-Geun Yoon, Changbum Ryan Ahn, et al. · Buildings · 25
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A quantitative analysis of multi-decadal shoreline changes along the East Coast of South Korea
2023 · Sang-Guk Yum, Seunghee Park, et al. · The Science of The Total Environment · 25
Measuring Vulnerability of Typhoon in Residential Facilities: Focusing on Typhoon Maemi in South Korea
2019 · Ji-Myong Kim, Taehui Kim, et al. · Sustainability · 23
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Coastal vulnerability to extreme weather events: An integrated analysis of erosion, sediment movement, and land subsidence based on multi-temporal optical and SAR satellite data
2025 · Manik Das Adhikari, Seunghee Park, et al. · Journal of Environmental Management · 22
Modeling Deep Neural Networks to Learn Maintenance and Repair Costs of Educational Facilities
2021 · Jimyong Kim, Sangguk Yum, et al. · Buildings · 22
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A deep learning algorithm-driven approach to predicting repair costs associated with natural disaster indicators: The case of accommodation facilities
2021 · Ji-Myong Kim, Sang-Guk Yum, et al. · Journal of Building Engineering · 20
Development of black ice prediction model using GIS-based multi-sensor model validation
2022 · Seok Bum Hong, Hong Sik Yun, et al. · Natural hazards and earth system sciences · 19
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Predicting financial losses due to apartment construction accidents utilizing deep learning techniques
2022 · Ji-Myong Kim, Junseo Bae, et al. · Scientific Reports · 19
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Development of vulnerability curves of buildings to windstorms using insurance data: An empirical study in South Korea
2020 · Sang-Guk Yum, Ji-Myong Kim, et al. · Journal of Building Engineering · 18
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Harnessing Machine Learning for Classifying Economic Damage Trends in Transportation Infrastructure Projects
2021 · Junseo Bae, Sang-Guk Yum, et al. · Sustainability · 15
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A LSTM algorithm-driven deep learning approach to estimating repair and maintenance costs of apartment buildings
2024 · Ji-Myong Kim, Sang-Guk Yum, et al. · Engineering Construction & Architectural Management · 14
Estimation of the non-exceedance probability of extreme storm surges in South Korea using tidal-gauge data
2021 · Sang-Guk Yum, Hsi-Hsien Wei, et al. · Natural hazards and earth system sciences · 14
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Prediction of the volume of shallow landslides due to rainfall using data-driven models
2025 · Jérémie Tuganishuri, Chan-Young Yune, et al. · Natural hazards and earth system sciences · 13
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Works count: 73
Citation count: 793
H-index: 19
I10-index: 31
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