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H

Heechan Han

inha university

17H-index
49Paper Count
916Citation Count
Published Papers 26
Publication Date
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Deep Learning-Based Downstream Water Level Prediction Enhanced by Upstream Predict Information
errWater
IF3
err2026-05-20
err0
errOAAI
errChangju Kim; Soonchan Park; Hyejun Han; Cheolhee Jang; Deokhwan Kim; Heechan Han
errShare
errSave
Integrated Random Forest and APEX-MODFLOW model for predicting and mapping river salinity in the Animas Watershed, Colorado River Basin
errjournal of hydrology: regional studies
IF0
err2026-02-27
err0
errOAAI
errHeechan Han; Seonggyu Park; Mohammad Hadi Bazrkar; Tadesse A. Abitew; Yongseok Hong; Jaehak Jeong
errShare
errSave
Multi-Model Comparison of Hydrologic Simulation Performance Using DWAT, PRMS, and TANK Models
errWater
IF3
err2026-01-25
err0
errOAAI
errDeokhwan Kim; Wonjin Jang; Heechan Han; Hyoung-Sub Shin; Hyeonjun Kim; Cheolhee Jang
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errSave
Baseflow Separation for Improving Dam Inflow Prediction Using Data-Driven Models: A Case Study of Four Dams in South Korea
errWater Resources Management
IF4.7
err2025-10-15
err0
PREAI
errHeechan Han; Heeseung Park; Donghyun Kim
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errSave
Temporal resolution enhancement of NDVI time series using machine learning approaches
errearth systems and environment
IF2.9
err2025-07-26
err0
PREAI
errSoonchan Park; Changju Kim; Heechan Han
errShare
errSave
Multi-Hazard Susceptibility Mapping Using Machine Learning Approaches: A Case Study of South Korea
errREMOTE SENSING
IF4.1
err2025-05-08
err0
errOAAI
errKim, Changju; Park, Soonchan; Han, Heechan
errShare
errSave
Integrating machine learning for enhanced wildfire severity prediction: A study in the Upper Colorado River basin
errSCIENCE OF THE TOTAL ENVIRONMENT
IF8
err2024-11-01
err3
PREAI
errHan, Heechan; Abitew, Tadesse A.; Bazrkar, Hadi; Park, Seonggyu; Jeong, Jaehak
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errSave
Flood risk assessment using an indicator based approach combined with flood risk maps and grid data
errJOURNAL OF HYDROLOGY
IF6.3
err2023-12-01
err10
PREAI
errWang, Won-joon; Kim, Donghyun; Han, Heechan; Kim, Kyung Tak; Kim, Soojun; Kim, Hung Soo
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errSave
Spatiotemporal Evaluation of Satellite-Based Precipitation Products in the Colorado River Basin
errJOURNAL OF HYDROMETEOROLOGY
IF2.9
err2023-10-01
err3
PREAI
errAn, Heechan H.; Abitew, Tadesse A.; Park, Seonggyu; Green, Colleen H. M.; Jeong, Jaehak
errShare
errSave
Development of Technology for Identification of Climate Patterns during Floods Using Global Climate Model Data with Convolutional Neural Networks
errWATER
IF3
err2022-12-12
err0
errOAAI
errJung, Jaewon; Han, Heechan
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errSave
Development of a Deep Learning-Based Prediction Model for Water Consumption at the Household Level
errWATER
IF3
err2022-05-09
err16
errOAAI
errKim, Jongsung; Lee, Haneul; Lee, Myungjin; Han, Heechan; Kim, Donghyun; Kim, Hung Soo
errShare
errSave
Improved runoff forecasting performance through error predictions using a deep-learning approach
errJOURNAL OF HYDROLOGY
IF6.3
err2022-05-01
err50
PREAI
errHan, Heechan; Morrison, Ryan R.
errShare
errSave
Development of Simple Method for Flood Control Capacity Estimation of Dam in South Korea
errWATER
IF3
err2022-04-22
err1
errOAAI
errHan, Heechan; Kwak, Jaewon; Kim, Deokhwan; Jung, Jaewon; Joo, Hongjun; Kim, Hung Soo
errShare
errSave
Case Study: Development of the CNN Model Considering Teleconnection for Spatial Downscaling of Precipitation in a Climate Change Scenario
errSUSTAINABILITY
IF3.3
err2022-04-14
err10
errOAAI
errKim, Jongsung; Lee, Myungjin; Han, Heechan; Kim, Donghyun; Bae, Yunghye; Kim, Hung Soo
errShare
errSave
Inundation Analysis of Coastal Urban Area under Climate Change Scenarios
errWATER
IF3
err2022-04-04
err4
errOAAI
errHan, Heechan; Kim, Deokhwan; Kim, Hung Soo
errShare
errSave
Improvement of Deep Learning Models for River Water Level Prediction Using Complex Network Method
errWATER
IF3
err2022-02-04
err12
errOAAI
errKim, Donghyun; Han, Heechan; Wang, Wonjoon; Kim, Hung Soo
errShare
errSave
Determining the Risk Level of Heavy Rain Damage by Region in South Korea
errWATER
IF3
err2022-01-12
err8
errOAAI
errKim, Jongsung; Kim, Donghyun; Lee, Myungjin; Han, Heechan; Kim, Hung Soo
errShare
errSave
Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea
errSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
IF3.6
err2021-09-22
err7
PREAI
errKwak, Jaewon; Han, Heechan; Kim, Soojun; Kim, Hung Soo
errShare
errSave
Multiple-Depth Soil Moisture Estimates Using Artificial Neural Network and Long Short-Term Memory Models
errWATER
IF3
err2021-09-18
err22
errOAAI
errHan, Heechan; Choi, Changhyun; Kim, Jongsung; Morrison, Ryan R.; Jung, Jaewon; Kim, Hung Soo
errShare
errSave
Data-driven approaches for runoff prediction using distributed data
errSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
IF3.6
err2021-02-24
err40
PREAI
errHan, Heechan; Morrison, Ryan R.
errShare
errSave

Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
陈
陈浩楠 (Haonan Chen)
H-index: 41 · Papers: 426
J
Jaehak Jeong
H-index: 31 · Papers: 175
J
Jongsung Kim
H-index: 30 · Papers: 146
H
Haneul Lee
H-index: 27 · Papers: 130
H
Hung Soo Kim
H-index: 25 · Papers: 361
View more