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Dive into the research topics where Yoonkyung Cha is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Development of a self-supervised deep learning framework for chlorophyll-a retrieval in data-scarce inland waters
Jeong, B., Shin, J. & Cha, Y. K., Feb 2026, In: Environmental Modelling and Software. 197, 106817.Research output: Contribution to journal › Article › peer-review
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System-level total nitrogen prediction in MLE wastewater treatment using a modular merged LSTM framework
Kim, T., Park, J., Oh, Y., Park, H., Koo, J., Kim, M. & Cha, Y., Jan 2026, In: Journal of Water Process Engineering. 81, 109202.Research output: Contribution to journal › Article › peer-review
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A modular deep learning surrogate model for simulating harmful algal blooms in complex process-based systems
Kim, Y. W., Cha, Y. K. & Shin, J., 1 Oct 2025, In: Water Research. 285, 124059.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
A river network model using a weight-based merged LSTM for multi-source monitoring integration
Jung, J., Park, T., Park, J., Lee, D. & Cha, Y. K., Dec 2025, In: Ecological Informatics. 90, 103320.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning-based prediction of exceeding the criteria for river chlorophyll a concentrations using high-frequency data from a sensor network
Lee, G., Shin, J., Kim, Y. W., Han, E. J., Yu, C. S., Kim, T. & Cha, Y., 1 Oct 2025, In: Environmental Engineering Research. 30, 5, 240302.Research output: Contribution to journal › Article › peer-review
Open Access