Sang-Soo Baek

About Sang-Soo Baek

Sang-Soo Baek, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at Ulsan National Institute of Science and Technology, specializes in the field of Hydrologic modeling, Environmental modeling, Machine learning, Deep neural network.

His recent articles reflect a diverse array of research interests and contributions to the field:

Profiling emerging micropollutants in urban stormwater runoff using suspect and non-target screening via high-resolution mass spectrometry

Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms

W2O7 Decorated Polyindole Nanocomposites: A Dual-Function Platform for Efficient Removal and Electrochemical Sensing of Cadmium Metal Ion

Facile one-pot environmentally benign synthesis of graphene decorated hematite nanocomposites for environmental remediation, antibacterial and anticancer activity

Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams

Synergistic effects of tungstate trioxide hemihydrate decorated reduced graphene oxide for the adsorption of heavy metals and dyes and postliminary application in …

Developing a data-driven modeling framework for simulating a chemical accident in freshwater

Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning

Sang-Soo Baek Information

University

Position

___

Citations(all)

1560

Citations(since 2020)

1473

Cited By

400

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

33

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Sang-Soo Baek Skills & Research Interests

Hydrologic modeling

Environmental modeling

Machine learning

Deep neural network

Top articles of Sang-Soo Baek

Profiling emerging micropollutants in urban stormwater runoff using suspect and non-target screening via high-resolution mass spectrometry

Chemosphere

2024/2/10

Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms

Ecological Informatics

2023/12/1

W2O7 Decorated Polyindole Nanocomposites: A Dual-Function Platform for Efficient Removal and Electrochemical Sensing of Cadmium Metal Ion

Journal of Environmental Chemical Engineering

2023/12/1

Mohd Shoeb
Mohd Shoeb

H-Index: 13

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Facile one-pot environmentally benign synthesis of graphene decorated hematite nanocomposites for environmental remediation, antibacterial and anticancer activity

Inorganic Chemistry Communications

2023/10/1

Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams

Journal of Hydrology

2023/11/1

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Kyung Hwa Cho
Kyung Hwa Cho

H-Index: 26

Synergistic effects of tungstate trioxide hemihydrate decorated reduced graphene oxide for the adsorption of heavy metals and dyes and postliminary application in …

Journal of Cleaner Production

2023/9/15

Mohd Shoeb
Mohd Shoeb

H-Index: 13

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Developing a data-driven modeling framework for simulating a chemical accident in freshwater

Journal of Cleaner Production

2023/11/1

Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning

Journal of Hydrology

2023/9/1

Characterization of micropollutants in urban stormwater using high-resolution monitoring and machine learning

Water Research

2023/5/15

Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning

Environmental Engineering Research

2023/2

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Kyung Hwa Cho
Kyung Hwa Cho

H-Index: 26

Determination of sampling time interval for investigating ecological trends of tintinnids

Journal of Plankton Research

2022/7

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Jungmin Choi
Jungmin Choi

H-Index: 19

Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level

Water Research

2022/6/30

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Kyung Hwa Cho
Kyung Hwa Cho

H-Index: 26

Chemical accidents in freshwater: Development of forecasting system for drinking water resources

Journal of hazardous materials

2022/6/15

Recent advances in touch sensors for flexible wearable devices

2022/6/13

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Soeun Kim
Soeun Kim

H-Index: 7

Potential inhibition of the harmful dinoflagellate Cochlodinium (= Margalefidinium) polykrikoides by the intrusion of Changjiang diluted water into Korea coastal waters

Ecological Indicators

2022/6/1

Sang-Soo Baek
Sang-Soo Baek

H-Index: 11

Analysis of micropollutants in a marine outfall using network analysis and decision tree

Science of The Total Environment

2022/2/1

A novel method for micropollutant quantification using deep learning and multi-objective optimization

Water Research

2022/4/1

In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models

Hydrology and Earth System Sciences

2021/12/6

Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method

Water Research

2021/12/1

Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models

Science of The Total Environment

2021/11/10

See List of Professors in Sang-Soo Baek University(Ulsan National Institute of Science and Technology)

Co-Authors

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