Dong-Jun Seo

4.7k total citations · 1 hit paper
35 papers, 3.7k citations indexed

About

Dong-Jun Seo is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Dong-Jun Seo has authored 35 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 19 papers in Water Science and Technology. Recurrent topics in Dong-Jun Seo's work include Meteorological Phenomena and Simulations (24 papers), Precipitation Measurement and Analysis (21 papers) and Hydrology and Watershed Management Studies (19 papers). Dong-Jun Seo is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Precipitation Measurement and Analysis (21 papers) and Hydrology and Watershed Management Studies (19 papers). Dong-Jun Seo collaborates with scholars based in United States, France and Australia. Dong-Jun Seo's co-authors include Jay P. Breidenbach, Dennis Miller, Richard Fulton, Victor Koren, Michael Smith, James Dean Brown, John C. Schaake, Ziya Zhang, Seann Reed and Michael Butts and has published in prestigious journals such as Journal of Hydrology, Bulletin of the American Meteorological Society and Journal of Hydrometeorology.

In The Last Decade

Dong-Jun Seo

35 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The WSR-88D Rainfall Algorithm

1998 819 citations Richard Fulton, Jay P. Breidenbach et al. Weather and Forecasting profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dong-Jun Seo United States	23	2.5k	2.4k	1.8k	1.2k	110	35	3.7k
Dong‐Jun Seo United States	20	972 0.4×	1.3k 0.6×	1.3k 0.7×	752 0.6×	87 0.8×	73	2.0k
J. Thielen Italy	18	1.1k 0.4×	2.0k 0.9×	1.5k 0.8×	561 0.5×	79 0.7×	34	2.4k
Guoqiang Tang China	37	3.4k 1.4×	2.7k 1.2×	1.0k 0.6×	935 0.8×	44 0.4×	97	4.3k
Naoki Mizukami United States	26	819 0.3×	1.8k 0.8×	2.0k 1.1×	818 0.7×	116 1.1×	55	2.5k
Yudong Tian United States	30	3.1k 1.2×	2.4k 1.0×	850 0.5×	1.0k 0.8×	49 0.4×	52	3.8k
Seann Reed United States	21	846 0.3×	1.6k 0.7×	1.8k 1.0×	676 0.6×	95 0.9×	52	2.2k
Guy Delrieu France	30	2.1k 0.8×	2.0k 0.9×	999 0.6×	881 0.7×	28 0.3×	71	3.1k
Yang Hong United States	25	1.7k 0.7×	1.5k 0.6×	786 0.4×	565 0.5×	66 0.6×	38	2.4k
Nans Addor United Kingdom	21	828 0.3×	1.9k 0.8×	2.0k 1.1×	838 0.7×	119 1.1×	42	2.7k
Yeshewatesfa Hundecha Germany	26	795 0.3×	2.3k 1.0×	1.8k 1.0×	552 0.5×	139 1.3×	41	2.8k

Countries citing papers authored by Dong-Jun Seo

Since Specialization

Citations

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

Fields of papers citing papers by Dong-Jun Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong-Jun Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Jun Seo. A scholar is included among the top collaborators of Dong-Jun 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 Dong-Jun Seo. Dong-Jun 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, Dong-Jun, et al.. (2016). Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation. Journal of Hydrology. 556. 1096–1109. 14 indexed citations

Lee, Haksu, Dong-Jun Seo, & Seong Jin Noh. (2016). A weakly-constrained data assimilation approach to address rainfall-runoff model structural inadequacy in streamflow prediction. Journal of Hydrology. 542. 373–391. 6 indexed citations

Seo, Dong-Jun, Emad Habib, Hervé Andrieu, & Efrat Morin. (2015). Hydrologic applications of weather radar. Journal of Hydrology. 531. 231–233. 16 indexed citations

Lee, Haksu, et al.. (2015). Utilizing satellite precipitation estimates for streamflow forecasting via adjustment of mean field bias in precipitation data and assimilation of streamflow observations. Journal of Hydrology. 529. 779–794. 11 indexed citations

Zhang, Yu, Sean Reed, Jonathan J. Gourley, et al.. (2015). The impacts of climatological adjustment of quantitative precipitation estimates on the accuracy of flash flood detection. Journal of Hydrology. 541. 387–400. 6 indexed citations

Lee, Haksu, et al.. (2014). Utility of SCaMPR Satellite versus Ground-Based Quantitative Precipitation Estimates in Operational Flood Forecasting: The Effects of TRMM Data Ingest. Journal of Hydrometeorology. 15(3). 1051–1069. 10 indexed citations

Kim, Sunghee, et al.. (2014). Improving water quality forecasting via data assimilation – Application of maximum likelihood ensemble filter to HSPF. Journal of Hydrology. 519. 2797–2809. 26 indexed citations

Rafieeinasab, A., Dong-Jun Seo, Haksu Lee, & Sunghee Kim. (2014). Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models. Journal of Hydrology. 519. 2663–2675. 37 indexed citations

Seo, Dong-Jun, Ridwan Siddique, & Peter Ahnert. (2014). Objective Reduction of Rain Gauge Network via Geostatistical Analysis of Uncertainty in Radar-Gauge Precipitation Estimation. Journal of Hydrologic Engineering. 20(4). 10 indexed citations

10.

Hou, Dingchen, Yan Luo, Zoltán Tóth, et al.. (2012). Climatology-Calibrated Precipitation Analysis at Fine Scales: Statistical Adjustment of Stage IV toward CPC Gauge-Based Analysis. Journal of Hydrometeorology. 15(6). 2542–2557. 74 indexed citations

11.

Brown, James Dean, Dong-Jun Seo, & Jun Du. (2012). Verification of Precipitation Forecasts from NCEP’s Short-Range Ensemble Forecast (SREF) System with Reference to Ensemble Streamflow Prediction Using Lumped Hydrologic Models. Journal of Hydrometeorology. 13(3). 808–836. 29 indexed citations

12.

Brown, James Dean & Dong-Jun Seo. (2010). A Nonparametric Postprocessor for Bias Correction of Hydrometeorological and Hydrologic Ensemble Forecasts. Journal of Hydrometeorology. 11(3). 642–665. 68 indexed citations

13.

Seo, Dong-Jun, et al.. (2008). Fast and efficient optimization of hydrologic model parameters using a priori estimates and stepwise line search. Journal of Hydrology. 353(1-2). 109–128. 58 indexed citations

14.

Koren, Victor, Seann Reed, Michael Smith, Ziya Zhang, & Dong-Jun Seo. (2004). Hydrology laboratory research modeling system (HL-RMS) of the US national weather service. Journal of Hydrology. 291(3-4). 297–318. 193 indexed citations

15.

Seo, Dong-Jun, et al.. (2003). Real-Time Variational Assimilation of Hydrologic and Hydrometeorological Data into Operational Hydrologic Forecasting. Journal of Hydrometeorology. 4(3). 627–641. 125 indexed citations

16.

Seo, Dong-Jun & Jay P. Breidenbach. (2002). Real-Time Correction of Spatially Nonuniform Bias in Radar Rainfall Data Using Rain Gauge Measurements. Journal of Hydrometeorology. 3(2). 93–111. 229 indexed citations

17.

Seo, Dong-Jun, et al.. (2000). Real-Time Adjustment of Range-Dependent Biases in WSR-88D Rainfall Estimates due to Nonuniform Vertical Profile of Reflectivity. Journal of Hydrometeorology. 1(3). 222–240. 105 indexed citations

18.

Miller, Dennis, Jay P. Breidenbach, Richard Fulton, & Dong-Jun Seo. (1999). Radar-Based Precipitation Processing for NWS Hydrologic Forecast Services. 1–21. 1 indexed citations

19.

Fulton, Richard, et al.. (1998). The WSR-88D Rainfall Algorithm. Weather and Forecasting. 13(2). 377–395. 819 indexed citations breakdown →

20.

Anagnostou, Emmanouil N., Witold F. Krajewski, Dong-Jun Seo, & E. R. Johnson. (1998). Mean-Field Rainfall Bias Studies for WSR-88D. Journal of Hydrologic Engineering. 3(3). 149–159. 90 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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