Seong-Chun Jun

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

Heesung Yoon, Seong-Chun Jun, Yunjung Hyun et al. · Journal of Hydrology · 2010 · 622 citations

Artificial Intelligence, Data Classification, Coastal Aquifer +12

Field-scale investigation of nanoscale zero-valent iron (NZVI) injection parameters for enhanced delivery of NZVI particles to groundwater

Jun‐Young Ahn, Cheolyong Kim, Seong-Chun Jun et al. · Water Research · 2021 · 57 citations

Chemical Engineering, Engineering, Field-scale Investigation +9

Tracing of residual multiple DNAPL sources in the subsurface using 222Rn as a natural tracer at an industrial complex in Wonju, Korea

JaeHa Yang, Seong-Chun Jun, Hyung-Pyo Kwon et al. · Environmental Earth Sciences · 2013 · 15 citations

Environmental Chemistry, Geochemical Tracer, Engineering +7

Characterization of a site contaminated by chlorinated ethenes and ethanes using multi-analysis

Dugin Kaown, Seong-Chun Jun, Rak‐Hyeon Kim et al. · Environmental Earth Sciences · 2016 · 12 citations

Chemical Engineering, Environmental Chemistry, Chlorinated Ethenes +11

Changes in soil N2O and CH4 emissions and related microbial functional groups in an artificial CO2 gassing experiment

Wenmei He, Youjin Kim, Daegeun Ko et al. · The Science of The Total Environment · 2019 · 12 citations

Soil Gas, Biogeochemistry, Engineering +7