Sang‐Boom Ryoo

541 total citations
39 papers, 432 citations indexed

About

Sang‐Boom Ryoo is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Sang‐Boom Ryoo has authored 39 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Sang‐Boom Ryoo's work include Atmospheric chemistry and aerosols (17 papers), Atmospheric aerosols and clouds (14 papers) and Climate variability and models (7 papers). Sang‐Boom Ryoo is often cited by papers focused on Atmospheric chemistry and aerosols (17 papers), Atmospheric aerosols and clouds (14 papers) and Climate variability and models (7 papers). Sang‐Boom Ryoo collaborates with scholars based in South Korea and Japan. Sang‐Boom Ryoo's co-authors include Won‐Tae Kwon, Jong‐Ghap Jhun, Jai‐Ho Oh, Joo Wan, Jong‐Jin Baik, Pil‐Hun Chang, Haeyoung Lee, Sang‐Ok Han, Jeong-Soon Lee and Young-Hwa Kim and has published in prestigious journals such as Atmospheric chemistry and physics, Remote Sensing and International Journal of Climatology.

In The Last Decade

Sang‐Boom Ryoo

36 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Boom Ryoo South Korea 12 289 284 101 98 47 39 432
Ernesto Caetano Mexico 12 431 1.5× 358 1.3× 90 0.9× 143 1.5× 55 1.2× 32 548
Wenshi Lin China 14 470 1.6× 426 1.5× 144 1.4× 97 1.0× 53 1.1× 55 591
Marc Stéfanon France 11 444 1.5× 607 2.1× 122 1.2× 94 1.0× 46 1.0× 12 720
I. Tegoulias Greece 13 521 1.8× 437 1.5× 61 0.6× 133 1.4× 84 1.8× 30 624
Jon A. Skindlov United States 6 357 1.2× 424 1.5× 97 1.0× 64 0.7× 18 0.4× 6 568
Panfeng Zhang China 12 251 0.9× 354 1.2× 217 2.1× 93 0.9× 17 0.4× 37 491
Abbas Mofidi Iran 11 383 1.3× 425 1.5× 67 0.7× 65 0.7× 30 0.6× 24 540
Oliver Krueger Germany 10 325 1.1× 321 1.1× 127 1.3× 63 0.6× 118 2.5× 15 506
Bingcheng Wan China 10 204 0.7× 233 0.8× 83 0.8× 49 0.5× 10 0.2× 25 313
Domingo Fernando Rasilla Álvarez Spain 10 121 0.4× 245 0.9× 79 0.8× 67 0.7× 12 0.3× 32 363

Countries citing papers authored by Sang‐Boom Ryoo

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Boom Ryoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Boom Ryoo. 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 Sang‐Boom Ryoo. The network helps show where Sang‐Boom Ryoo may publish in the future.

Co-authorship network of co-authors of Sang‐Boom Ryoo

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Boom Ryoo. A scholar is included among the top collaborators of Sang‐Boom Ryoo 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 Sang‐Boom Ryoo. Sang‐Boom Ryoo 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.
Ryoo, Sang‐Boom, et al.. (2023). Development and Assessment of ADAM3 Ensemble Prediction System. SOLA. 19(0). 26–32. 2 indexed citations
2.
Ryoo, Sang‐Boom, et al.. (2021). Improvements of ADAM3 by Incorporating New Dust Emission Reduction Formulations Based on Real-Time MODIS NDVI. Remote Sensing. 13(16). 3139–3139. 1 indexed citations
3.
Ryoo, Sang‐Boom, et al.. (2020). Performance of KMA-ADAM3 in Identifying Asian Dust Days over Northern China. Atmosphere. 11(6). 593–593. 7 indexed citations
4.
Lee, Haeyoung, Sang‐Ok Han, Sang‐Boom Ryoo, Jeong-Soon Lee, & Gangwoong Lee. (2019). The measurement of atmospheric CO 2 at KMA GAW regional stations, its characteristics, and comparisons with other East Asian sites. Atmospheric chemistry and physics. 19(4). 2149–2163. 31 indexed citations
5.
Ryoo, Sang‐Boom, et al.. (2019). Prediction of Asian Dust Days over Northern China Using the KMA-ADAM2 Model. Weather and Forecasting. 34(6). 1777–1787. 10 indexed citations
6.
Kim, Jeong Eun, et al.. (2018). Characteristics of long-lasting haze episodes observed in Seoul, South Korea, for 2009–2014. Theoretical and Applied Climatology. 136(1-2). 55–64. 8 indexed citations
7.
Lee, Eunhee, et al.. (2017). Improved Dust Forecast by Assimilating MODIS IR-Based Nighttime AOT in the ADAM2 Model. SOLA. 13(0). 192–198. 11 indexed citations
8.
9.
Chang, Pil‐Hun, et al.. (2014). Summer behavior of the Changjiang diluted water to the East/Japan Sea: A modeling study in 2003. Continental Shelf Research. 81. 7–18. 34 indexed citations
10.
Kim, Youngmi, et al.. (2013). Soil moisture retrieved from microwave satellite data and its relationship with the Asian dust (Hwangsa) frequency in East Asia during the period from 2003 to 2010. Asia-Pacific Journal of Atmospheric Sciences. 49(4). 527–534. 5 indexed citations
11.
Ahn, Joong‐Bae, et al.. (2012). Development of 12-month Ensemble Prediction System Using PNU CGCM V1.1. Atmosphere. 22(4). 455–464. 1 indexed citations
12.
Moon, Ja-Yeon, Sang‐Boom Ryoo, & Won‐Tae Kwon. (2007). On the Improvement of Seasonal Predictability from Multi Model Ensembles. Asia-Pacific Journal of Atmospheric Sciences. 43(3). 305–320. 9 indexed citations
13.
Ryoo, Sang‐Boom & Yeonhee Kim. (2007). Inhomogeneities in Korean Climate Data (II): Due to the Change of the Computing Procedure of Daily Mean. 17(1). 17–26. 2 indexed citations
14.
Ryoo, Sang‐Boom, Won‐Tae Kwon, & Jong‐Ghap Jhun. (2005). Surface and upper-level features associated with wintertime cold surge outbreaks in South Korea. Advances in Atmospheric Sciences. 22(4). 509–524. 19 indexed citations
15.
Ryoo, Sang‐Boom, Won‐Tae Kwon, & Jong‐Ghap Jhun. (2004). Characteristics of wintertime daily and extreme minimum temperature over South Korea. International Journal of Climatology. 24(2). 145–160. 37 indexed citations
16.
Ryoo, Sang‐Boom, et al.. (2003). Field Intercomparison and Calibration of Net Radiometers. Korean Journal of Agricultural and Forest Meteorology. 5(2). 128–137. 1 indexed citations
17.
Ryoo, Sang‐Boom. (2003). Change in the frequency of cold surge outbreaks simulated by ECHO-G under SRES A2G and B2G. 대기. 13(3). 242–243. 1 indexed citations
18.
Kim, Yeon‐Hee, et al.. (2003). The Variation of Soil Heat Flux within Mixed forest in Kwangneung Arboretum. Asia-Pacific Journal of Atmospheric Sciences. 39(5). 620–629. 1 indexed citations
19.
Oh, Jai‐Ho, et al.. (2000). The 500 h㎩ Geopotential Fields in the Mid-high Latitudes Associated with Changma. 3(2). 83–94. 4 indexed citations
20.
Oh, Jai‐Ho, Won‐Tae Kwon, & Sang‐Boom Ryoo. (1997). Review of the researches on changma and future observational study (kormex). Advances in Atmospheric Sciences. 14(2). 207–222. 43 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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