Youngmin Seo

1.1k total citations
38 papers, 878 citations indexed

About

Youngmin Seo is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Youngmin Seo has authored 38 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 11 papers in Water Science and Technology and 11 papers in Global and Planetary Change. Recurrent topics in Youngmin Seo's work include Hydrological Forecasting Using AI (22 papers), Energy Load and Power Forecasting (9 papers) and Hydrology and Watershed Management Studies (8 papers). Youngmin Seo is often cited by papers focused on Hydrological Forecasting Using AI (22 papers), Energy Load and Power Forecasting (9 papers) and Hydrology and Watershed Management Studies (8 papers). Youngmin Seo collaborates with scholars based in South Korea, United States and Iran. Youngmin Seo's co-authors include Sungwon Kim, Vijay P. Singh, Özgür Kişi, Vijay P. Singh, Vijay P. Singh, Chang Joon Lee, Mohammad Ali Ghorbani, Sung Won Kim, Saeed Samadianfard and Mohammad Zounemat‐Kermani and has published in prestigious journals such as Journal of Hydrology, Advanced Science and Ecological Indicators.

In The Last Decade

Youngmin Seo

37 papers receiving 849 citations

Peers

Youngmin Seo

WST

GPC

EEE

C. Sivapragasam India

Özlem Terzi Türkiye

Majid Dehghani Iran

Vahid Karimi Iran

Yazid Tikhamarine Algeria

Mohammad Taghi Alami Iran

Mehdi Komasi Iran

Mohammad Taghi Aalami Iran

Gavin J. Bowden Australia

A. A. Masrur Ahmed Australia

C. Sivapragasam India

Youngmin Seo

585 ×1.0

476 ×1.2

WST

357 ×1.3

GPC

155 ×0.7

EEE

100 ×0.7

Citations per year, relative to Youngmin Seo Youngmin Seo (= 1×) peers C. Sivapragasam

Countries citing papers authored by Youngmin Seo

Since Specialization

Citations

This map shows the geographic impact of Youngmin Seo'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 Youngmin Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngmin Seo more than expected).

Fields of papers citing papers by Youngmin Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngmin Seo. 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 Youngmin Seo. The network helps show where Youngmin Seo may publish in the future.

Co-authorship network of co-authors of Youngmin Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Youngmin Seo. A scholar is included among the top collaborators of Youngmin Seo 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 Youngmin Seo. Youngmin Seo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Seo, Youngmin, et al.. (2025). Semantic Segmentation of Fire Fronts in Helicopter Imagery Using Vision Transformer Models. Korean Journal of Remote Sensing. 41(2). 375–385. 1 indexed citations

Seo, Youngmin, et al.. (2024). Transformer-Based Deep Learning Approach for Wildfire Burn Severity Estimation Using Drone Imagery in South Korea. Korean Journal of Remote Sensing. 40(6). 1051–1065.

Seo, Youngmin. (2024). Power Shift, the South China Sea Dispute, and the Role of International Law. Michigan Journal of International Law. 93–93. 2 indexed citations

Seo, Youngmin & Yangwon Lee. (2024). A Comparative Analysis of CNN and Transformer Models for The Detection of Fire-Burned Areas in California Using Landsat 8 Satellite Images. 7071–7075. 1 indexed citations

Nguyen, Xuan Cuong, et al.. (2023). Tracking the sources of dissolved organic matter under bio- and photo-transformation conditions using fluorescence spectrum-based machine learning techniques. Environmental Technology & Innovation. 31. 103179–103179. 10 indexed citations

Kim, Sungwon, Youngmin Seo, Anurag Malik, et al.. (2023). Quantification of river total phosphorus using integrative artificial intelligence models. Ecological Indicators. 153. 110437–110437. 12 indexed citations

Seo, Youngmin, et al.. (2019). Comparison of Bayesian Methods for Estimating Parameters and Uncertainties of Probability Rainfall Distribution. Journal of Environmental Science International. 28(1). 19–35. 3 indexed citations

Seo, Youngmin, Sungwon Kim, & Vijay P. Singh. (2018). Comparison of different heuristic and decomposition techniques for river stage modeling. Environmental Monitoring and Assessment. 190(7). 392–392. 19 indexed citations

Kim, Sungwon, Youngmin Seo, & Chang Joon Lee. (2016). Modeling of Rainfall by Combining Neural Computation and Wavelet Technique. Procedia Engineering. 154. 1231–1236. 6 indexed citations

10.

Seo, Youngmin. (2015). River Stage Forecasting Model Combining Wavelet Packet Transform and Artificial Neural Network. Journal of Environmental Science International. 24(8). 1023–1036. 3 indexed citations

11.

Seo, Youngmin, Sungwon Kim, & Vijay P. Singh. (2015). Estimating Spatial Precipitation Using Regression Kriging and Artificial Neural Network Residual Kriging (RKNNRK) Hybrid Approach. Water Resources Management. 29(7). 2189–2204. 52 indexed citations

12.

Kim, Sungwon, Vijay P. Singh, Chang Joon Lee, & Youngmin Seo. (2014). Modeling the physical dynamics of daily dew point temperature using soft computing techniques. KSCE Journal of Civil Engineering. 19(6). 1930–1940. 33 indexed citations

13.

Kim, Sungwon, Youngmin Seo, & Vijay P. Singh. (2013). Assessment of Pan Evaporation Modeling Using Bootstrap Resampling and Soft Computing Methods. Journal of Computing in Civil Engineering. 29(5). 15 indexed citations

14.

Kim, Sungwon, Vijay P. Singh, & Youngmin Seo. (2013). Evaluation of pan evaporation modeling with two different neural networks and weather station data. Theoretical and Applied Climatology. 117(1-2). 1–13. 30 indexed citations

15.

Joo, Kyung‐Il, Minkyu Park, Kyung Woo Park, et al.. (2012). Multi-spatial-frequency and phase-shifting profilometry using a liquid crystal phase modulator. Applied Optics. 51(14). 2624–2624. 11 indexed citations

16.

Seo, Youngmin, Ki-Bum Park, & Sungwon Kim. (2011). Uncertainty Analysis of Parameters of Spatial Statistical Model Using Bayesian Method for Estimating Spatial Distribution of Probability Rainfall. Journal of Environmental Science International. 20(12). 1541–1551. 2 indexed citations

17.

Seo, Youngmin & Ki-Bum Park. (2011). Uncertainty Analysis for Parameters of Probability Distribution in Rainfall Frequency Analysis by Bayesian MCMC and Metropolis Hastings Algorithm. Journal of Environmental Science International. 20(3). 329–340. 5 indexed citations

18.

Seo, Youngmin & Ki-Bum Park. (2011). Uncertainty Analysis for Parameter Estimation of Probability Distribution in Rainfall Frequency Analysis Using Bootstrap. Journal of Environmental Science International. 20(3). 321–327. 4 indexed citations

19.

Seo, Youngmin, et al.. (2010). Uncertainty Analysis of Spatial Distribution of Probability Rainfall: Comparison of CEM and SGS Methods. Journal of Korea Water Resources Association. 43(11). 933–944. 3 indexed citations

20.

Oshita, Seiichi, et al.. (2006). Odor Recognition of Soy Sauce by Semiconducting Polymer Sensors. Transactions of the ASABE. 49(6). 1839–1844. 3 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.

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