Jae‐Gwang Won

1.1k citations
12 papers · 930 · h-index 10

Impact in

    • Atmospheric aerosols and clouds
    • Atmospheric chemistry and aerosols
    • Meteorological Phenomena and Simulations
    • Atmospheric Ozone and Climate
    • Geology and Paleoclimatology Research

Papers in

Jae‐Gwang Won

10 papers receiving 881 citations

Peers

Jae‐Gwang Won
Comparison fields: 5 of 26
  • Global and Planetary Change 807
  • Atmospheric Science 198
  • Earth-Surface Processes 18
  • Instrumentation 5
  • Environmental Engineering 18
Replace Cynthia A. Curtis with:
Cynthia A. Curtis United States
Xu Li-Jones United States
Y. Yi United States
Illia Shevchenko Saudi Arabia
Mikhail Korenskiy Russia
Qiaoyun Hu France
Elisabeth Öström United States
Andreas Veira Germany
Joseph Simon Schlosser United States
Makiko Nakata Japan
Jae‐Gwang Won relative to Cynthia A. Curtis United States Cynthia A. Curtis's profile →
Citations per field
00.5×1.5×2×
Cynthia A. Curtis · 1×
Citations per year

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-authors

The 20 scholars most cited alongside Jae‐Gwang Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jae‐Gwang Won Line = papers co-authored together Jae‐Gwang Won links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2005323
2 2001266
3 200466
4 200763
5 200555
6 200444
7 200441
8 200236
9 200424
10 200411
11
Aerosol Models for the CALIPSO Lidar Inversion Algorithms
20031
12 20030

About Jae‐Gwang Won

Jae‐Gwang Won is a scholar working on Global and Planetary Change, Atmospheric Science, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 12 papers that have together received 930 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (12 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Global and Planetary Change (807 citations), Atmospheric Science (198 citations), Earth-Surface Processes (18 citations), Instrumentation (5 citations) and Environmental Engineering (18 citations). Jae‐Gwang Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Soon‐Chang Yoon, Ali H Omar, Dave M. Winker, Michael P. McCormick, Оleg Dubovik, Sang-Woo Kim, Ellsworth G Dutton, Sungchul Choi, Brent Holben and Byung-Ju Sohn. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment, Geophysical Research Letters, Applied Optics and Journal of the Meteorological Society of Japan Ser II.

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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