Yun‐Young Lee

1.0k total citations
19 papers, 535 citations indexed

About

Yun‐Young Lee is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Yun‐Young Lee has authored 19 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 5 papers in Oceanography. Recurrent topics in Yun‐Young Lee's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (12 papers) and Tropical and Extratropical Cyclones Research (6 papers). Yun‐Young Lee is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (12 papers) and Tropical and Extratropical Cyclones Research (6 papers). Yun‐Young Lee collaborates with scholars based in South Korea, United States and Japan. Yun‐Young Lee's co-authors include Robert X. Black, Richard Grotjahn, Gyu‐Ho Lim, Richard W. Katz, L. Ruby Leung, Mathew Barlow, John R. Gyakum, Young‐Kwon Lim, Prabhat and William J. Gutowski and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

Yun‐Young Lee

19 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun‐Young Lee South Korea 11 491 416 72 36 31 19 535
Lola Corre France 9 362 0.7× 285 0.7× 130 1.8× 16 0.4× 37 1.2× 13 455
Mathieu Joly France 12 453 0.9× 438 1.1× 123 1.7× 84 2.3× 44 1.4× 14 551
Christine Nam Germany 11 568 1.2× 545 1.3× 25 0.3× 17 0.5× 22 0.7× 18 653
Angshuman Modak India 10 388 0.8× 272 0.7× 29 0.4× 18 0.5× 15 0.5× 15 431
Andrea J. Dittus United Kingdom 13 528 1.1× 395 0.9× 53 0.7× 52 1.4× 26 0.8× 19 602
Natália Machado Crespo Brazil 11 264 0.5× 255 0.6× 53 0.7× 42 1.2× 24 0.8× 31 392
L. Haimberger Austria 3 363 0.7× 339 0.8× 69 1.0× 15 0.4× 43 1.4× 4 462
D. C. Ayantika India 14 466 0.9× 409 1.0× 106 1.5× 37 1.0× 26 0.8× 25 523
Yingxian Zhang China 10 377 0.8× 379 0.9× 82 1.1× 23 0.6× 28 0.9× 21 458

Countries citing papers authored by Yun‐Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐Young Lee. 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 Yun‐Young Lee. The network helps show where Yun‐Young Lee may publish in the future.

Co-authorship network of co-authors of Yun‐Young Lee

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

All Works

19 of 19 papers shown
1.
Lee, Yun‐Young, et al.. (2023). Forecasting global stock market volatility: The impact of volatility spillover index in spatial‐temporal graph‐based model. Journal of Forecasting. 42(7). 1539–1559. 8 indexed citations
2.
Lee, Yun‐Young, et al.. (2022). Advances and challenges of operational seasonal prediction in Pacific Island Countries. Scientific Reports. 12(1). 11405–11405. 1 indexed citations
3.
Yeo, Sae‐Rim, Yun‐Young Lee, & Jong‐Seong Kug. (2022). Three distinct convective footprints over the Indo-western Pacific that affect high temperature extreme events in Korea during boreal autumn. Climate Dynamics. 59(11-12). 3469–3484. 1 indexed citations
4.
Park, Chanil, Seok‐Woo Son, Hera Kim, et al.. (2021). Record-breaking summer rainfall in South Korea in 2020: Synoptic characteristics and the role of large-scale circulations. Monthly Weather Review. 36 indexed citations
5.
Kim, Seon Tae, et al.. (2021). Errors in the winter temperature response to ENSO over North America in seasonal forecast models. Journal of Climate. 1–35. 2 indexed citations
6.
Lee, Yun‐Young, et al.. (2020). West Pacific teleconnection pattern in dynamical seasonal predictions: how is it connected to the Atlantic atmospheric mean bias?. Climate Dynamics. 54(7-8). 3671–3683. 5 indexed citations
7.
Lee, Yun‐Young & Richard Grotjahn. (2019). Evidence of Specific MJO Phase Occurrence with Summertime California Central Valley Extreme Hot Weather. Advances in Atmospheric Sciences. 36(6). 589–602. 20 indexed citations
8.
Sohn, Soo‐Jin, et al.. (2017). The Republic of Korea-Pacific Islands Climate Prediction Services Project. Bulletin of the American Meteorological Society. 99(2). 253–257. 1 indexed citations
9.
Grotjahn, Richard & Yun‐Young Lee. (2015). On climate model simulations of the large‐scale meteorology associated with California heat waves. Journal of Geophysical Research Atmospheres. 121(1). 18–32. 8 indexed citations
10.
Grotjahn, Richard, Robert X. Black, L. Ruby Leung, et al.. (2015). North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends. Climate Dynamics. 46(3-4). 1151–1184. 265 indexed citations
11.
Lee, Yun‐Young & Richard Grotjahn. (2015). California Central Valley Summer Heat Waves Form Two Ways*. Journal of Climate. 29(3). 1201–1217. 28 indexed citations
12.
Lee, Yun‐Young & Robert X. Black. (2014). The Structure and Dynamics of the Stratospheric Northern Annular Mode in CMIP5 Simulations. Journal of Climate. 28(1). 86–107. 12 indexed citations
13.
Lee, Yun‐Young, et al.. (2013). Anomalous Temperature Regimes during the Cool Season: Long-Term Trends, Low-Frequency Mode Modulation, and Representation in CMIP5 Simulations. Journal of Climate. 26(22). 9061–9076. 30 indexed citations
14.
Lee, Yun‐Young & Robert X. Black. (2013). Boreal winter low‐frequency variability in CMIP5 models. Journal of Geophysical Research Atmospheres. 118(13). 6891–6904. 26 indexed citations
15.
Black, Robert X., Brent A. McDaniel, & Yun‐Young Lee. (2012). The structure, dynamics and tropospheric signature of the Polar Annular Mode. Journal of Geophysical Research Atmospheres. 117(D19). 3 indexed citations
16.
Lee, Yun‐Young & Gyu‐Ho Lim. (2012). Dependency of the North Pacific winter storm tracks on the zonal distribution of MJO convection. Journal of Geophysical Research Atmospheres. 117(D14). 27 indexed citations
17.
Lee, Yun‐Young, Jong‐Seong Kug, Gyu‐Ho Lim, & Masahiro Watanabe. (2011). Eastward shift of the Pacific/North American pattern on an interdecadal time scale and an associated synoptic eddy feedback. International Journal of Climatology. 32(7). 1128–1134. 15 indexed citations
18.
Lee, Yun‐Young, Gyu‐Ho Lim, & Jong‐Seong Kug. (2010). Influence of the East Asian winter monsoon on the storm track activity over the North Pacific. Journal of Geophysical Research Atmospheres. 115(D9). 33 indexed citations
19.
Sung, Mi‐Kyung, et al.. (2010). Climate Change over Korea and Its Relation to the Forest Fire Occurrence. 20(1). 27–35. 14 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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