Hongjoon Shin

583 total citations
38 papers, 444 citations indexed

About

Hongjoon Shin is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Hongjoon Shin has authored 38 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Hongjoon Shin's work include Hydrology and Drought Analysis (18 papers), Precipitation Measurement and Analysis (11 papers) and Climate variability and models (9 papers). Hongjoon Shin is often cited by papers focused on Hydrology and Drought Analysis (18 papers), Precipitation Measurement and Analysis (11 papers) and Climate variability and models (9 papers). Hongjoon Shin collaborates with scholars based in South Korea, Finland and Japan. Hongjoon Shin's co-authors include Jun‐Haeng Heo, Sooyoung Kim, Changsam Jeong, Hanbeen Kim, Younghun Jung, Taesoon Kim, Taereem Kim, Woncheol Cho, Kichul Jung and Daeryong Park and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Remote Sensing.

In The Last Decade

Hongjoon Shin

31 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongjoon Shin South Korea 10 308 134 111 53 33 38 444
K. Adamowski Canada 10 277 0.9× 151 1.1× 60 0.5× 94 1.8× 29 0.9× 24 418
Changsam Jeong South Korea 12 312 1.0× 143 1.1× 158 1.4× 115 2.2× 7 0.2× 33 457
David R. Forrest United States 13 150 0.5× 47 0.4× 216 1.9× 24 0.5× 14 0.4× 26 482
Amin Shirvani Iran 11 209 0.7× 57 0.4× 143 1.3× 49 0.9× 23 0.7× 35 395
Y.R. Liu China 12 223 0.7× 248 1.9× 68 0.6× 86 1.6× 23 0.7× 23 441
Sebastián Solari Uruguay 11 166 0.5× 54 0.4× 165 1.5× 53 1.0× 12 0.4× 32 457
Roshan Srivastav India 12 416 1.4× 250 1.9× 149 1.3× 194 3.7× 26 0.8× 25 575
Susana Almeida United Kingdom 8 195 0.6× 158 1.2× 63 0.6× 83 1.6× 46 1.4× 13 337
M. Mancini Italy 12 336 1.1× 205 1.5× 167 1.5× 142 2.7× 32 1.0× 29 626
Changhyun Choi South Korea 12 295 1.0× 174 1.3× 99 0.9× 222 4.2× 40 1.2× 42 489

Countries citing papers authored by Hongjoon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hongjoon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjoon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjoon Shin. A scholar is included among the top collaborators of Hongjoon Shin 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 Hongjoon Shin. Hongjoon Shin 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.
2.
Shin, Hongjoon, et al.. (2023). Assessment of Deep Learning-Based Nowcasting Using Weather Radar in South Korea. Remote Sensing. 15(21). 5197–5197. 3 indexed citations
3.
An, Hyunuk, et al.. (2022). Evaluation of different erosion–entrainment models in debris-flow simulation. Landslides. 19(9). 2075–2090. 14 indexed citations
4.
Shin, Hongjoon. (2021). Radar rainfall prediction based on deep learning considering temporal consistency. Journal of Korea Water Resources Association. 54(5). 301–309. 3 indexed citations
5.
Shin, Hongjoon, et al.. (2020). Applicability of Lindley Distribution for Hydroelectric Dam Operations in the Dry Season. Korean Society of Hazard Mitigation. 20(6). 291–299.
6.
Um, Myoung‐Jin, et al.. (2019). Impacts of potential evapotranspiration on drought phenomena in different regions and climate zones. The Science of The Total Environment. 703. 135590–135590. 36 indexed citations
7.
Lee, Jong‐Kook, et al.. (2016). Accuracy Improvement of Discharge Measurement with Modification of Distance Made Good Heading. Advances in Meteorology. 2016. 1–9. 4 indexed citations
8.
Kim, Sooyoung, et al.. (2015). Development of an unbiased plotting position formula considering the coefficient of skewness for the generalized logistic distribution. Journal of Hydrology. 527. 471–481. 2 indexed citations
9.
Shin, Hongjoon, et al.. (2014). A Study on the Changes of Return Period Considering Nonstationarity of Rainfall Data. Journal of Korea Water Resources Association. 47(5). 447–457. 5 indexed citations
10.
Shin, Hongjoon, et al.. (2013). Power Test of Trend Analysis using Simulation Experiment. Journal of Korea Water Resources Association. 46(3). 219–227. 4 indexed citations
11.
Kim, Taereem, Hongjoon Shin, & Jun‐Haeng Heo. (2013). A Study on Empirical Distribution Function with Unknown Shape Parameter and Extreme Value Weight for Three Parameter Weibull Distribution. Journal of Korea Water Resources Association. 46(6). 643–653. 1 indexed citations
12.
Jeong, Changsam, et al.. (2013). Estimation of optimal grid size for radar reflectivity using a SWAT model. Journal of Hydro-environment Research. 8(1). 20–31. 4 indexed citations
13.
Kim, Sooyoung, et al.. (2012). Development of plotting position for the general extreme value distribution. Journal of Hydrology. 475. 259–269. 22 indexed citations
14.
Shin, Hongjoon, et al.. (2010). Derivation of Modified Anderson-Darling Test Statistics and Power Test for the Gumbel Distribution. Journal of Korea Water Resources Association. 43(9). 813–822. 8 indexed citations
15.
Shin, Hongjoon, Younghun Jung, & Jun‐Haeng Heo. (2009). Cross Correlations between Probability Weighted Moments at Each Sites Using Monte Carlo Simulation. Journal of Korea Water Resources Association. 42(3). 227–234. 1 indexed citations
16.
Shin, Hongjoon, et al.. (2008). Uncertainty Assessment of Regional Frequency Analysis for Generalized Logistic Distribution. Journal of the Korean Society of Civil Engineers. 28. 723–729. 1 indexed citations
17.
Heo, Jun‐Haeng, et al.. (2008). Regression equations of probability plot correlation coefficient test statistics from several probability distributions. Journal of Hydrology. 355(1-4). 1–15. 66 indexed citations
18.
Heo, Jun‐Haeng, et al.. (2007). Application of Regional Rainfall Frequency Analysis in South Korea(I): Rainfall Quantile Estimation. 27. 101–111. 8 indexed citations
19.
Shin, Hongjoon, et al.. (2006). A Study on Uncertainty of Risk of Failure Based on Gumbel Distribution. Journal of Korea Water Resources Association. 39(8). 659–668. 4 indexed citations
20.
Shin, Hongjoon, et al.. (2004). Development of an Operating Model for Hwacheon Dam Considering Emergency Spillway Gate and Imnam Dam. 24. 443–452. 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.

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