Jae‐Gwang Won

1.1k total citations
9 papers, 575 citations indexed

About

Jae‐Gwang Won is a scholar working on Atmospheric Science, Global and Planetary Change and Civil and Structural Engineering. According to data from OpenAlex, Jae‐Gwang Won has authored 9 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 1 paper in Civil and Structural Engineering. Recurrent topics in Jae‐Gwang Won's work include Atmospheric aerosols and clouds (9 papers), Atmospheric chemistry and aerosols (9 papers) and Atmospheric Ozone and Climate (4 papers). Jae‐Gwang Won is often cited by papers focused on Atmospheric aerosols and clouds (9 papers), Atmospheric chemistry and aerosols (9 papers) and Atmospheric Ozone and Climate (4 papers). Jae‐Gwang Won collaborates with scholars based in South Korea, United States and France. Jae‐Gwang Won's co-authors include Soon‐Chang Yoon, Ali Omar, David M. Winker, Оleg Dubovik, M. P. McCormick, Sang‐Woo Kim, Ellsworth G Dutton, Sungchul Choi, Ann Jefferson and B. N. Holben and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric Environment.

In The Last Decade

Jae‐Gwang Won

8 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae‐Gwang Won South Korea	7	536	532	73	47	17	9	575
R. P. Singh India	6	574 1.1×	577 1.1×	84 1.2×	59 1.3×	20 1.2×	13	625
S. M. Sonbawne India	15	480 0.9×	516 1.0×	97 1.3×	63 1.3×	17 1.0×	48	556
M.-J. Jeong South Korea	4	416 0.8×	420 0.8×	57 0.8×	40 0.9×	30 1.8×	6	457
James A. Limbacher United States	13	370 0.7×	352 0.7×	73 1.0×	51 1.1×	13 0.8×	29	420
Byoung‐Cheol Choi South Korea	7	283 0.5×	291 0.5×	81 1.1×	31 0.7×	15 0.9×	23	346
W. R. Sessions United States	9	501 0.9×	529 1.0×	105 1.4×	16 0.3×	23 1.4×	11	548
Myeong‐Jae Jeong United States	13	467 0.9×	477 0.9×	48 0.7×	25 0.5×	28 1.6×	15	512
J. Barnard United States	5	390 0.7×	408 0.8×	51 0.7×	21 0.4×	48 2.8×	6	446
Frank McGovern United States	5	354 0.7×	352 0.7×	88 1.2×	23 0.5×	22 1.3×	7	391
M. G. Tosca United States	11	485 0.9×	417 0.8×	58 0.8×	24 0.5×	10 0.6×	16	529

Countries citing papers authored by Jae‐Gwang Won

Since Specialization

Citations

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

Fields of papers citing papers by Jae‐Gwang Won

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Gwang Won. 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 Jae‐Gwang Won. The network helps show where Jae‐Gwang Won may publish in the future.

Co-authorship network of co-authors of Jae‐Gwang Won

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

All Works

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9 of 9 papers shown

Kim, Sang‐Woo, Soon‐Chang Yoon, Jae‐Gwang Won, & Sungchul Choi. (2007). Ground-based remote sensing measurements of aerosol and ozone in an urban area: A case study of mixing height evolution and its effect on ground-level ozone concentrations. Atmospheric Environment. 41(33). 7069–7081. 65 indexed citations

Omar, Ali, Jae‐Gwang Won, David M. Winker, et al.. (2005). Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements. Journal of Geophysical Research Atmospheres. 110(D10). 306 indexed citations

Yoon, Soon‐Chang, Jae‐Gwang Won, Ali Omar, Sang‐Woo Kim, & Byung-Ju Sohn. (2005). Estimation of the radiative forcing by key aerosol types in worldwide locations using a column model and AERONET data. Atmospheric Environment. 39(35). 6620–6630. 53 indexed citations

Won, Jae‐Gwang, Soon‐Chang Yoon, Sang‐Woo Kim, et al.. (2004). Estimation of Direct Radiative Forcing of Asian Dust Aerosols with Sun/Sky Radiometer and Lidar Measurements at Gosan, Korea. Journal of the Meteorological Society of Japan Ser II. 82(1). 115–130. 68 indexed citations

Kim, Sang‐Woo, Soon‐Chang Yoon, Anne Jefferson, et al.. (2004). Observation of enhanced water vapor in Asian dust layer and its effect on atmospheric radiative heating rates. Geophysical Research Letters. 31(18). 46 indexed citations

Omar, Ali, David M. Winker, & Jae‐Gwang Won. (2004). Aerosol models for the CALIPSO lidar inversion algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5240. 153–153. 25 indexed citations

Omar, Ali, David M. Winker, Jae‐Gwang Won, et al.. (2004). Selection algorithm for the CALIPSO lidar aerosol extinction-to-backscatter ratio. 3. 1526–1530. 11 indexed citations

Yoon, Soon‐Chang, et al.. (2003). Aerosol and yellow-sand monitoring with a micro pulse lidar in Seoul. 3. 1054–1055.

Omar, Ali, David M. Winker, & Jae‐Gwang Won. (2003). Aerosol Models for the CALIPSO Lidar Inversion Algorithms. NASA STI Repository (National Aeronautics and Space Administration). 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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