Ju‐Young Shin - Concepedia

Concepedia

Author

Ju‐Young Shin

National Institute of Meteorological Sciences ORCID

Also Known As

J.-Y. Shin, Ju-Young Shin, Juyoung Shin, Ju‐Young Shin, 신주영

53

Publications

1.4K

Citations

22

H-Index

69

Concepts

All Affiliations

National Institute of Meteorological Sciences Yonsei University Gyeongsang National University Induk University University of Oklahoma

JS

About

Ju‐Young Shin is an author at National Institute of Meteorological Sciences specializing in engineering, meteorology, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	21	27	1.3K
2	Social Sciences	3	3	127
3	Civil Engineering	2	2	58
4	Biostatistics	1	1	226
5	Computer Science	1	1	87

Ju‐Young Shin

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31

Publications

1.4K

Citations

22

H-Index

	Year	Citations
Probability distributions of wind speed in the UAE Taha B. M. J. Ouarda, Christian Charron, Ju‐Young Shin, Energy Conversion and Management MeteorologyWind Energy PotentialUnited Arab EmiratesEngineeringWind Power Generation	2015	226
Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change Jun‐Haeng Heo, Hyunjun Ahn, Ju‐Young Shin, Water EngineeringQuantile Mapping TechniquePrecipitation DataWeather ForecastingPrecipitation	2019	137
Deep Learning-Based Maximum Temperature Forecasting Assisted with Meta-Learning for Hyperparameter Optimization Trang Thi Kieu Tran, Taesam Lee, Ju‐Young Shin, Atmosphere Search OptimizationEngineeringMachine LearningNeural Networks (Machine Learning)Model Tuning	2020	87
Stochastic simulation on reproducing long-term memory of hydroclimatological variables using deep learning model Taesam Lee, Ju‐Young Shin, Jong‐Suk Kim, Journal of Hydrology Stochastic SimulationHydrometeorologyRecurrent Neural NetworkEngineeringMachine Learning	2020	75
Heterogeneous mixture distributions for modeling wind speed, application to the UAE Ju‐Young Shin, Taha B. M. J. Ouarda, Taesam Lee Renewable Energy MeteorologyHeterogeneous Mixture DistributionsNumerical Weather PredictionEngineeringMixture Distribution	2016	69
Regional quantile delta mapping method using regional frequency analysis for regional climate model precipitation Sunghun Kim, Kyungwon Joo, Hanbeen Kim, Journal of Hydrology ClimatologyMeteorologyRegional Climate ResponseEngineeringDrought	2020	69
Spatial and temporal variations in rainfall erosivity and erosivity density in South Korea Ju‐Young Shin, Taereem Kim, Jun‐Haeng Heo, CATENA MeteorologyErosivity DensityRainfall ErosivityEngineeringSouth Korea	2019	58
Identification of relationships between climate indices and long-term precipitation in South Korea using ensemble empirical mode decomposition Taereem Kim, Ju‐Young Shin, Sunghun Kim, Journal of Hydrology ClimatologyMeteorologyNumerical Weather PredictionEngineeringClimate Indices	2017	56
Monthly Precipitation Forecasting with a Neuro-Fuzzy Model Changsam Jeong, Ju‐Young Shin, Taesoon Kim, Water Resources Management ClimatologyMeteorologyForecasting MethodologyFuzzy LogicEngineering	2012	52
The Use of Large-Scale Climate Indices in Monthly Reservoir Inflow Forecasting and Its Application on Time Series and Artificial Intelligence Models Taereem Kim, Ju‐Young Shin, Hanbeen Kim, Water ClimatologyMeteorologyNumerical Weather PredictionEngineeringData Science	2019	46

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