Sang‐Soo Baek

2.7k total citations
75 papers, 2.1k citations indexed

About

Sang‐Soo Baek is a scholar working on Water Science and Technology, Environmental Engineering and Oceanography. According to data from OpenAlex, Sang‐Soo Baek has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Water Science and Technology, 37 papers in Environmental Engineering and 14 papers in Oceanography. Recurrent topics in Sang‐Soo Baek's work include Hydrology and Watershed Management Studies (21 papers), Hydrological Forecasting Using AI (20 papers) and Water Quality Monitoring Technologies (17 papers). Sang‐Soo Baek is often cited by papers focused on Hydrology and Watershed Management Studies (21 papers), Hydrological Forecasting Using AI (20 papers) and Water Quality Monitoring Technologies (17 papers). Sang‐Soo Baek collaborates with scholars based in South Korea, United States and Philippines. Sang‐Soo Baek's co-authors include Kyung Hwa Cho, JongCheol Pyo, Jong Ahn Chun, Yakov Pachepsky, Hyuk Lee, Mayzonee Ligaray, Kwang‐Sik Yoon, Yongeun Park, Jae‐Woon Jung and Dongho Choi and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Sang‐Soo Baek

70 papers receiving 2.0k citations

Peers

Sang‐Soo Baek

WST

GPC

IME

OCEAN

Jinhui Jeanne Huang‬‬‬‬ China

Xiaoping Wang China

Angus Chu Canada

Jungsu Park South Korea

Faridah Othman Malaysia

Roslan Hashim Malaysia

Xue‐yi You China

Haotian Sun China

Saad Sh. Sammen Iraq

Tiyasha Tiyasha Vietnam

Jinhui Jeanne Huang‬‬‬‬ China

Sang‐Soo Baek

1.0k ×1.0

WST

882 ×0.9

590 ×1.3

GPC

276 ×0.8

IME

226 ×0.9

OCEAN

Citations per year, relative to Sang‐Soo Baek Sang‐Soo Baek (= 1×) peers Jinhui Jeanne Huang‬‬‬‬

Countries citing papers authored by Sang‐Soo Baek

Since Specialization

Citations

This map shows the geographic impact of Sang‐Soo Baek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sang‐Soo Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Soo Baek more than expected).

Fields of papers citing papers by Sang‐Soo Baek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Soo Baek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sang‐Soo Baek. The network helps show where Sang‐Soo Baek may publish in the future.

Co-authorship network of co-authors of Sang‐Soo Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Soo Baek. A scholar is included among the top collaborators of Sang‐Soo Baek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sang‐Soo Baek. Sang‐Soo Baek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Baek, Sang‐Soo, et al.. (2025). Developing a real-time water quality simulation toolbox using machine learning and application programming interface. Journal of Environmental Management. 377. 124719–124719. 1 indexed citations

Moon, Kyeong-Deok, et al.. (2025). Trends in intelligent sensor‐based customized management technologies for sewer infrastructures. ETRI Journal. 47(5). 797–814.

Lee, Hankyu, et al.. (2025). Evaluating the applicability of machine learning and deep learning models for predicting cyanobacterial alert levels in a drinking water reservoir. Journal of Water Process Engineering. 73. 107685–107685.

Kim, Hyo Gyeom, et al.. (2024). Modeling freshwater plankton community dynamics with static and dynamic interactions using graph convolution embedded long short-term memory. Water Research. 266. 122401–122401. 11 indexed citations

Ullah, Zahid, et al.. (2024). Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence model. Water Research. 262. 122092–122092. 3 indexed citations

Mashkoor, Fouzia, Mohd Shoeb, Mohammad Naved Khan, et al.. (2024). CNT functionalized GdCoBi ternary metal oxide nanocomposite for electrochemical detection of perfluorooctanoic acid and energy storage applications. Journal of Hazardous Materials. 480. 136421–136421. 15 indexed citations

Jang, Jiyi, Sang‐Soo Baek, Daehyun Kang, et al.. (2024). Insights and machine learning predictions of harmful algal bloom in the East China Sea and Yellow Sea. Journal of Cleaner Production. 459. 142515–142515. 6 indexed citations

Mashkoor, Fouzia, et al.. (2023). Facile one-pot environmentally benign synthesis of graphene decorated hematite nanocomposites for environmental remediation, antibacterial and anticancer activity. Inorganic Chemistry Communications. 156. 111113–111113. 11 indexed citations

Jang, Jiyi, et al.. (2023). Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning. Journal of Hydrology. 624. 129973–129973. 8 indexed citations

10.

Jang, Jiyi, Ather Abbas, Hye‐In Kim, et al.. (2023). Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms. Ecological Informatics. 78. 102370–102370. 7 indexed citations

11.

Abbas, Ather, Minji Park, Sang‐Soo Baek, & Kyung Hwa Cho. (2023). Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams. Journal of Hydrology. 626. 130240–130240. 32 indexed citations

12.

Mashkoor, Fouzia, Mohd Shoeb, Abdul Hakeem Anwer, et al.. (2023). W2O7 decorated polyindole nanocomposites: A dual-function platform for efficient removal and electrochemical sensing of cadmium metal ion. Journal of environmental chemical engineering. 11(6). 111460–111460. 16 indexed citations

13.

Baek, Sang‐Soo, et al.. (2022). Determination of sampling time interval for investigating ecological trends of tintinnids. Journal of Plankton Research. 44(4). 584–588. 4 indexed citations

14.

Park, Bum Soo, et al.. (2022). Potential inhibition of the harmful dinoflagellate Cochlodinium (= Margalefidinium) polykrikoides by the intrusion of Changjiang diluted water into Korea coastal waters. Ecological Indicators. 139. 108924–108924. 5 indexed citations

15.

Kim, Soobin, et al.. (2022). Chemical accidents in freshwater: Development of forecasting system for drinking water resources. Journal of Hazardous Materials. 432. 128714–128714. 9 indexed citations

16.

Baek, Sang‐Soo, Yong Sung Kwon, JongCheol Pyo, et al.. (2021). Identification of influencing factors of A. catenella bloom using machine learning and numerical simulation. Harmful Algae. 103. 102007–102007. 13 indexed citations

17.

Park, Bum Soo, et al.. (2021). Effect of marine heatwaves on bloom formation of the harmful dinoflagellate Cochlodinium polykrikoides: Two sides of the same coin?. Harmful Algae. 104. 102029–102029. 16 indexed citations

18.

Baek, Sang‐Soo, et al.. (2021). Analysis of micropollutants in a marine outfall using network analysis and decision tree. The Science of The Total Environment. 806(Pt 4). 150938–150938. 14 indexed citations

19.

Jang, Jiyi, Minjeong Kim, Sang‐Soo Baek, et al.. (2020). Hydrometeorological Influence on Antibiotic‐Resistance Genes (ARGs) and Bacterial Community at a Recreational Beach in Korea. Journal of Hazardous Materials. 403. 123599–123599. 32 indexed citations

20.

Baek, Sang‐Soo, et al.. (2017). Developing a Hydrologic Assessment Tool for Designing Bioretention in a watershed. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 6034. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact