Sungwon Kim 
- (2022): Guidelines for effective unsupervised guided wave compression and denoising in long-term guided wave structural health monitoring. Dans: Structural Health Monitoring, v. 22, n. 4 (décembre 2022).
- (2022): Long-term guided wave structural health monitoring in an uncontrolled environment through long short-term principal component analysis. Dans: Structural Health Monitoring, v. 21, n. 4 (janvier 2022).
- (2020): Efficient storage and processing of large guided wave data sets with random projections. Dans: Structural Health Monitoring, v. 20, n. 5 (décembre 2020).
- (2015): Assessment of Pan Evaporation Modeling Using Bootstrap Resampling and Soft Computing Methods. Dans: Journal of Computing in Civil Engineering, v. 29, n. 5 (septembre 2015).
- (2014): Modeling the physical dynamics of daily dew point temperature using soft computing techniques. Dans: KSCE Journal of Civil Engineering, v. 19, n. 6 (décembre 2014).
- (2015): Multistep-ahead flood forecasting using wavelet and data-driven methods. Dans: KSCE Journal of Civil Engineering, v. 19, n. 2 (janvier 2015).
- (2000): The long-term inflow analysis of multipurpose reservoirs by the SEAMOD. Dans: KSCE Journal of Civil Engineering, v. 4, n. 2 (juin 2000).
- (2004): Neural networks model and embedded stochastic processes for hydrological analysis in South Korea. Dans: KSCE Journal of Civil Engineering, v. 8, n. 1 (janvier 2004).
- (2018): Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: A new approach. Dans: Engineering Structures, v. 177 (décembre 2018).
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