TaeHo Kim - Concepedia

Author

TaeHo Kim

University of Seoul ORCID

Also Known As

Kim, Taeho, T. H. Kim, TaeHo Kim, Taeho Kim

Publications

397

Citations

H-Index

Concepts

All Affiliations

University of Seoul National Institute of Environmental Research Kyung Hee University University of Michigan Korea University

About

TaeHo Kim is an author at University of Seoul specializing in engineering, microbiology, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	269
2	Data Science	2	2	164
3	Microbiology	2	2	41
4	Environmental Engineering	1	1	45
5	Geography	1	1	19

TaeHo Kim

Publications

368

Citations

H-Index

Page 1

	Year	Citations
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
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
Machine learning and explainable AI for chlorophyll-a prediction in Namhan River Watershed, South Korea Ji Woo Han, TaeHo Kim, Sangchul Lee, Ecological Indicators	2024	25
Machine learning-guided prediction of potential engineering targets for microbial production of lycopene Chang Keun Kang, Jihoon Shin, YoonKyung Cha, Bioresource Technology BiosynthesisEngineeringPotential Engineering TargetsBiotechnologySynthetic Biology	2022	21
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach Jihoon Shin, Gunhyeong Lee, TaeHo Kim, The Science of The Total Environment Machine VisionEnvironmental MonitoringEngineeringRemote SensingCyanobacterial Blooms	2023	20
Assessing Land-Cover Effects on Stream Water Quality in Metropolitan Areas Using the Water Quality Index TaeHo Kim, YoungWoo Kim, Jihoon Shin, Water Total NitrogenSource Water ProtectionEngineeringWater ResourcesUrban Hydrology	2020	19

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