Young Woo Kim - Concepedia

Author

Young Woo Kim

University of Seoul ORCID

Also Known As

Y. W. Kim, Young Woo Kim, Young-Phil Kim, YoungWoo Kim

Publications

522

Citations

H-Index

Concepts

All Affiliations

University of Seoul National Institute of Environmental Research Kyung Hee University Seoul Metropolitan Government

About

Young Woo Kim is an author at University of Seoul specializing in engineering, data science, and environmental monitoring.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	418
2	Data Science	4	4	246
3	Environmental Engineering	2	2	71
4	Public Health	1	1	107
5	Chemical Engineering	1	1	107

Young Woo Kim

Publications

492

Citations

H-Index

Page 1

	Year	Citations
Human Risk Assessment of Endocrine‐Disrupting Chemicals Derived from Plastic Food Containers Du Yeon Bang, Minji Kyung, Min Ji Kim, Comprehensive Reviews in Food Science and Food Safety Endocrine‐disrupting ChemicalsFood PackagingEngineeringHi ValuesFood Contaminant	2012	107
An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates YoonKyung Cha, Jihoon Shin, ByeongGeon Go, Journal of Environmental Management Species Distribution ModelsBiodiversityEngineeringEcological SimulationData Science	2021	105
Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters Young Woo Kim, TaeHo Kim, Jihoon Shin, Ecological Indicators	2022	74
Simultaneous feature engineering and interpretation: Forecasting harmful algal blooms using a deep learning approach TaeHo Kim, Jihoon Shin, Doyeon Lee, Water Research Convolutional Neural NetworkEngineeringMachine LearningData ScienceSimultaneous Feature Engineering	2022	59
Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms Jihoon Shin, Seonghyeon Yoon, Young Woo Kim, Ecological Informatics Cyanobacteria BloomsMachine LearningData ScienceData MiningEnsemble Learning	2020	56
Forecasting Abrupt Depletion of Dissolved Oxygen in Urban Streams Using Discontinuously Measured Hourly Time‐Series Data Young Woo Kim, TaeHo Kim, Jihoon Shin, Water Resources Research Hydrological PredictionEnvironmental MonitoringEngineeringWater Quality ManagementEarth Science	2021	45
Development of a short-term water quality prediction model for urban rivers using real-time water quality data Jinhyo Lee, Junhee Lee, M. H. Lee, Water Science & Technology Water Supply Hydrological PredictionEnvironmental MonitoringEngineeringWater Quality MonitoringHydrologic Engineering	2022	26
Seasonal characteristics of PM1 in Seoul, Korea, measured using HR-ToF-Aerosol Mass Spectrometer in 2018 In Ho Song, Jong Sung Park, Seung Myung Park, Atmospheric Environment Environmental MonitoringEngineeringAir Pollution MeasurementAir Pollution FiltrationAir Quality	2021	20

Page 1