Dongkyun Kim - Concepedia

Author

Dongkyun Kim

Also Known As

D. Kim, D.‐K. Kim, Dong-Kyun KIM, Dong-Kyun Kim, Dongkun Kim, Dongkyun KIM, Dongkyun Kim, Dong‐Kyun Kim, Eun Cheol Do, Hyojeong Choi

374

Publications

2.3K

Citations

H-Index

133

Concepts

All Affiliations

Hongik University Hanyang University University of Hawaiʻi at Mānoa Texas A&M University University of Tehran

About

Dongkyun Kim is an author at Hongik University specializing in engineering, earth science, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	25	57	1.6K
2	Social Sciences	6	6	126
3	Business	1	1	24
4	Chemical Engineering	1	1	22
5	Chemistry	1	1	13

Dongkyun Kim

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
A new experimental investigation into the effects of reinforcing mortar beams with superelastic SMA fibers on controlling and closing cracks Eunsoo Choi, Behzad Mohammadzadeh, Dongkyun Kim, Composites Part B Engineering Materials ScienceFiber ReinforcementReinforcement MaterialEngineeringSuperelastic Sma Fibers	2017	69
Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems Hyung Il Kim, Dongkyun Kim, Mehran Mahdian, Environmental Pollution Environmental MonitoringEngineeringWater ResourcesWater Quality MonitoringWater Monitoring	2024	69
River phytoplankton prediction model by Artificial Neural Network: Model performance and selection of input variables to predict time-series phytoplankton proliferations in a regulated river system Kwang‐Seuk Jeong, Dongkyun Kim, Gea‐Jae Joo Ecological Informatics EngineeringWater ResourcesRiver SystemWater QualityForecasting	2006	61
The role of rainfall spatial variability in estimating areal reduction factors Jongho Kim, Jaehyeon Lee, Dongkyun Kim, Journal of Hydrology HydrometeorologyMeteorologyAreal Reduction FactorsQuantitative Spatial ModelEngineering	2018	59
Predicting Chlorophyll-<i>a</i> Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks Mohammad Javad Saravani, Roohollah Noori, Changhyun Jun, Environmental Science & Technology	2025	54
Comprehensive Evaluation of Machine Learning Techniques for Hydrological Drought Forecasting Muhammad Jehanzaib, Muhammad Bilal Idrees, Dongkyun Kim, Journal of Irrigation and Drainage Engineering Forecasting MethodologyEngineeringMachine LearningEarth ScienceWater Quality Forecasting	2021	53
Changing Spatial Structure of Summer Heavy Rainfall, Using Convection‐Permitting Ensemble Yuting Chen, Athanasios Paschalis, Elizabeth Kendon, Geophysical Research Letters EngineeringExtreme WeatherWeather ForecastingClimate ModelingSummer Heavy Rainfall	2020	52
Let-It-Rain: a web application for stochastic point rainfall generation at ungaged basins and its applicability in runoff and flood modeling Dongkyun Kim, Huidae Cho, Christian Onof, Stochastic Environmental Research and Risk Assessment Surface RunoffEngineeringWater ResourcesDroughtGeography	2016	51
Improving precipitation nowcasting using a three-dimensional convolutional neural network model from Multi Parameter Phased Array Weather Radar observations Dongkyun Kim, Taku Suezawa, Tomoaki Mega, Atmospheric Research HydrometeorologyMeteorologyRadarNumerical Weather PredictionData Assimilation	2021	51
A stochastic rainfall model that can reproduce important rainfall properties across the timescales from several minutes to a decade Dongkyun Kim, Christian Onof Journal of Hydrology HydrometeorologyMeteorologyClimatologyStochastic Rainfall ModelEarth Science	2020	50

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