Tae Sung Cheong

555 total citations
24 papers, 429 citations indexed

About

Tae Sung Cheong is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Tae Sung Cheong has authored 24 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 12 papers in Water Science and Technology and 9 papers in Ecology. Recurrent topics in Tae Sung Cheong's work include Hydrology and Watershed Management Studies (12 papers), Flood Risk Assessment and Management (10 papers) and Hydrology and Sediment Transport Processes (9 papers). Tae Sung Cheong is often cited by papers focused on Hydrology and Watershed Management Studies (12 papers), Flood Risk Assessment and Management (10 papers) and Hydrology and Sediment Transport Processes (9 papers). Tae Sung Cheong collaborates with scholars based in South Korea, United States and Japan. Tae Sung Cheong's co-authors include Il Won Seo, M. L. Kavvas, Bassam A. Younis, Woncheol Cho, Sang-Jin Lee, Joseph J. Cech, Sangman Jeong, Hayong Kim and Lee-Hyung Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Water Resources Research.

In The Last Decade

Tae Sung Cheong

21 papers receiving 412 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tae Sung Cheong South Korea 8 256 214 186 83 71 24 429
Antonio Arenas United States 12 259 1.0× 112 0.5× 69 0.4× 68 0.8× 134 1.9× 24 399
Tanja N. Williamson United States 14 227 0.9× 78 0.4× 153 0.8× 58 0.7× 96 1.4× 41 406
Mark N. Landers United States 10 174 0.7× 64 0.3× 237 1.3× 25 0.3× 48 0.7× 34 372
Paul F. Juckem United States 8 235 0.9× 191 0.9× 38 0.2× 27 0.3× 94 1.3× 23 372
Patrick P. Rasmussen United States 7 252 1.0× 82 0.4× 137 0.7× 47 0.6× 97 1.4× 22 329
Shengfa Yang China 11 113 0.4× 40 0.2× 151 0.8× 48 0.6× 32 0.5× 51 315
Dave Butcher United Kingdom 9 211 0.8× 137 0.6× 97 0.5× 32 0.4× 39 0.5× 12 422
Xiaokang Xin China 9 229 0.9× 85 0.4× 63 0.3× 57 0.7× 127 1.8× 18 359
Christian Chreties Uruguay 10 162 0.6× 101 0.5× 61 0.3× 19 0.2× 21 0.3× 22 282

Countries citing papers authored by Tae Sung Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Tae Sung Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Sung Cheong. 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 Tae Sung Cheong. The network helps show where Tae Sung Cheong may publish in the future.

Co-authorship network of co-authors of Tae Sung Cheong

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

All Works

20 of 20 papers shown
1.
Cheong, Tae Sung, et al.. (2024). Development of measured hydrodynamic information-based flood early warning system for small streams. Water Research. 263. 122159–122159. 3 indexed citations
2.
Cheong, Tae Sung, et al.. (2022). Assessment on Methodology for Predicting Flood Discharges in Creeks. Korean Society of Hazard Mitigation. 22(5). 211–218. 1 indexed citations
3.
Jeong, Sangman, et al.. (2021). Development of the Agricultural Water Demand and Supply Drought Index (AWDSDI) in Evaluating Daily Agricultural Drought in Small Administrative Districts. Korean Society of Hazard Mitigation. 21(2). 159–170. 1 indexed citations
4.
Cheong, Tae Sung, et al.. (2020). Selection of Small Stream Basins and Characteristics Analysis of Closed-circuit Television-based Automated Discharge Measurement Technology. Korean Society of Hazard Mitigation. 20(3). 259–268. 1 indexed citations
5.
Cheong, Tae Sung, et al.. (2018). Establishment of a Measured Data-Based Nomograph for Enhancing the Small Stream Flood Warning System. Korean Society of Hazard Mitigation. 18(6). 369–376. 1 indexed citations
6.
Kim, Hayong, et al.. (2017). Development of Multivariate Flood Damage Function for Flood Damage Assessment in Gunsan City, Korea. Korean Society of Hazard Mitigation. 17(2). 247–258. 3 indexed citations
7.
Cheong, Tae Sung, et al.. (2017). Development and Calibration of a Large-scale Rainfall Simulator for the Urban Flood Experimental Research. Korean Society of Hazard Mitigation. 17(6). 433–441. 1 indexed citations
8.
Cheong, Tae Sung, et al.. (2017). Development of Large Scale Particle Image Velocimetry Prototype for the Small Stream Discharge Monitoring. 2. 19–28. 2 indexed citations
9.
Cheong, Tae Sung. (2016). Development of Guideline to Select the Artistic and Safe Small Stream. Korean Society of Hazard Mitigation. 16(4). 259–267. 1 indexed citations
10.
Cho, Woncheol, et al.. (2014). Development of priority setting process for the small stream restoration projects using multi criteria decision analysis. Journal of Hydroinformatics. 17(2). 211–225. 10 indexed citations
11.
Kim, Lee-Hyung, et al.. (2013). Analysis on Rainwater Harvesting System as a Source of Non-Potable Water for Flood Mitigation in Metro Manila. Journal of Wetlands Research. 15(2). 223–231. 1 indexed citations
12.
Cheong, Tae Sung. (2012). Development of Decision Support System for Flood Disaster Risk Management. SHILAP Revista de lepidopterología. 1(2). 198–206. 1 indexed citations
13.
Lee, Sang-Jin & Tae Sung Cheong. (2009). Development of regression equations for the water discharge estimation in tidally affected rivers. KSCE Journal of Civil Engineering. 13(3). 195–203. 6 indexed citations
14.
Cheong, Tae Sung, et al.. (2007). Upstream Swimming Performance of Adult White Sturgeon: Effects of Partial Baffles and a Ramp. Transactions of the American Fisheries Society. 136(2). 402–408. 28 indexed citations
15.
Cheong, Tae Sung. (2007). Design of levee breaches for maximizing the trapping of suspended sediment. KSCE Journal of Civil Engineering. 11(3). 175–183. 7 indexed citations
16.
Cheong, Tae Sung, Bassam A. Younis, & Il Won Seo. (2006). Estimation of key parameters in model for solute transport in rivers and streams. Water Resources Management. 21(7). 1165–1186. 21 indexed citations
17.
Cheong, Tae Sung & Il Won Seo. (2003). Parameter estimation of the transient storage model by a routing method for river mixing processes. Water Resources Research. 39(4). 28 indexed citations
18.
Seo, Il Won & Tae Sung Cheong. (2001). Moment-Based Calculation of Parameters for the Storage Zone Model for River Dispersion. Journal of Hydraulic Engineering. 127(6). 453–465. 40 indexed citations
19.
Seo, Il Won & Tae Sung Cheong. (1998). Predicting Longitudinal Dispersion Coefficient in Natural Streams. Journal of Hydraulic Engineering. 124(1). 25–32. 232 indexed citations
20.
Seo, Il Won, et al.. (1996). Derivation of New Dispersion Coefficient Equation for Natural Streams. 4263–4268.

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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