YoonKyung Cha

According to our database, YoonKyung Cha authored at least 14 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Development of a self-supervised deep learning framework for chlorophyll-a retrieval in data-scarce inland waters.

Bongseok Jeong, Jihoon Shin, YoonKyung Cha

Environ. Model. Softw., 2026

Explainable machine learning for diagnosing ecological impairment in streams using reach-scale biological and environmental data.

Taeseung Park, Se-Rin Park, Jihoon Shin, Hyunji Kim, Kyung-A You, Sang-Woo Lee, YoonKyung Cha

Ecol. Informatics, 2026

2025

Generalizable deep learning forecasting of harmful algal blooms using transfer learning across river systems.

Jaegwan Park, Taeseung Park, Dogeon Lee, Jihoon Shin, Kyunghyun Kim, Jonggyu Jung, Hongtae Kim, YoonKyung Cha

Ecol. Informatics, 2025

A river network model using a weight-based merged LSTM for multi-source monitoring integration.

Jonggyu Jung, Taeseung Park, Jaegwan Park, Dogeon Lee, YoonKyung Cha

Ecol. Informatics, 2025

2024

Generalizability evaluations of heterogeneous ensembles for river health predictions.

Taeseung Park, Jihoon Shin, Baekyung Park, Jeongsuk Moon, YoonKyung Cha

Ecol. Informatics, 2024

2023

Changes in zooplankton community in response to a shift from lentic to lotic conditions in a regulated river.

Taeseung Park, Gunhyeong Lee, Jihoon Shin, Jong-hwan Park, Byungwoong Choi, Dong-Kyun Kim, YoonKyung Cha

Ecol. Informatics, November, 2023

Data-driven models for predicting community changes in freshwater ecosystems: A review.

Da-Yeong Lee, Dae-Seong Lee, YoonKyung Cha, Joong-Hyuk Min, Young-Seuk Park

Ecol. Informatics, November, 2023

2021

Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms.

Jihoon Shin, Seonghyeon Yoon, YoungWoo Kim, Taeho Kim, ByeongGeon Go, YoonKyung Cha

Ecol. Informatics, 2021

2020

An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery.

Jong Cheol Pyo, Hongtao Duan, Mayzonee Ligaray, Minjeong Kim, Sang-Soo Baek, Yong Sung Kwon, Hyuk Lee, Taegu Kang, Kyunghyun Kim, YoonKyung Cha, Kyung Hwa Cho

Remote. Sens., 2020

2019

Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model.

Jong Cheol Pyo, Yakov A. Pachepsky, Minjeong Kim, Sang-Soo Baek, Hyuk Lee, YoonKyung Cha, Yongeun Park, Kyung Hwa Cho

Environ. Model. Softw., 2019

2018

Small values in big data: The continuing need for appropriate metadata.

Craig A. Stow, Katherine E. Webster, Tyler Wagner, Noah Lottig, Patricia A. Soranno, YoonKyung Cha

Ecol. Informatics, 2018

2017

Optimizing Semi-Analytical Algorithms for Estimating <i>Chlorophyll-a</i> and <i>Phycocyanin</i> Concentrations in Inland Waters in Korea.

Jong Cheol Pyo, Yakov Pachepsky, Sang-Soo Baek, YongSeong Kwon, Minjeong Kim, Hyuk Lee, Sanghyun Park, YoonKyung Cha, Rim Ha, Gibeom Nam, Yongeun Park, Kyung Hwa Cho

Remote. Sens., 2017

2014

A Bayesian network incorporating observation error to predict phosphorus and chlorophyll a in Saginaw Bay.

YoonKyung Cha, Craig A. Stow

Environ. Model. Softw., 2014

2011

An evaluation of automated structure learning with Bayesian networks: An application to estuarine chlorophyll dynamics.

Ibrahim Alameddine, YoonKyung Cha, Kenneth H. Reckhow

Environ. Model. Softw., 2011