Yongjoo Choi

821 total citations
56 papers, 540 citations indexed

About

Yongjoo Choi is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yongjoo Choi has authored 56 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 29 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yongjoo Choi's work include Atmospheric chemistry and aerosols (48 papers), Air Quality and Health Impacts (28 papers) and Atmospheric aerosols and clouds (20 papers). Yongjoo Choi is often cited by papers focused on Atmospheric chemistry and aerosols (48 papers), Air Quality and Health Impacts (28 papers) and Atmospheric aerosols and clouds (20 papers). Yongjoo Choi collaborates with scholars based in South Korea, Japan and United States. Yongjoo Choi's co-authors include Young Sung Ghim, Taehyoung Lee, Taehyun Park, Yugo Kanaya, Jinsoo Choi, Gyutae Park, Seung-Myung Park, Jeffrey L. Collett, Chunmao Zhu and Junyoung Ahn and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Yongjoo Choi

50 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongjoo Choi South Korea 13 462 354 250 126 105 56 540
Moa K. Sporre Sweden 13 491 1.1× 387 1.1× 309 1.2× 101 0.8× 81 0.8× 29 648
M. Petrakakis Greece 9 351 0.8× 304 0.9× 182 0.7× 169 1.3× 91 0.9× 14 503
Hing Cho Cheung Taiwan 13 489 1.1× 467 1.3× 241 1.0× 156 1.2× 106 1.0× 20 617
Marco Zanatta Germany 15 686 1.5× 386 1.1× 380 1.5× 126 1.0× 127 1.2× 29 782
Qindan Zhu United States 14 557 1.2× 384 1.1× 307 1.2× 189 1.5× 61 0.6× 27 707
Mikko Äijälä Finland 16 656 1.4× 405 1.1× 327 1.3× 176 1.4× 57 0.5× 30 735
Benjamin C. Schulze United States 12 432 0.9× 389 1.1× 162 0.6× 175 1.4× 84 0.8× 23 541
G. Wehrle Switzerland 7 553 1.2× 367 1.0× 306 1.2× 66 0.5× 141 1.3× 7 593
Jingying Mao China 15 406 0.9× 291 0.8× 158 0.6× 151 1.2× 68 0.6× 46 552
Jennifer Hains United States 13 677 1.5× 375 1.1× 460 1.8× 147 1.2× 89 0.8× 17 773

Countries citing papers authored by Yongjoo Choi

Since Specialization
Citations

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

Fields of papers citing papers by Yongjoo Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongjoo Choi. 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 Yongjoo Choi. The network helps show where Yongjoo Choi may publish in the future.

Co-authorship network of co-authors of Yongjoo Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjoo Choi. A scholar is included among the top collaborators of Yongjoo Choi 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 Yongjoo Choi. Yongjoo Choi 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.
Jeong, Seulki, et al.. (2025). Oxidative potential of urban PM2.5 in relation to chemical composition: Importance of fossil driven sources. Environment International. 198. 109424–109424. 2 indexed citations
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Lee, Gangwoong, et al.. (2025). Quantification of SO2 and CO2 emission rates from coal-fired power plants in the Korean peninsula via airborne measurements. The Science of The Total Environment. 978. 179430–179430.
4.
Park, Seung-Myung, Jong Sung Park, Jung Min Park, et al.. (2024). A Novel Approach to Assessing Light Extinction with Decade-Long Observations of Chemical and Optical Properties in Seoul, South Korea. Atmosphere. 15(3). 320–320.
5.
Choi, Yongjoo, Hisahiro Takashima, Kihong Park, et al.. (2023). Changes in Tropospheric Nitrogen Dioxide Vertical Column Densities over Japan and Korea during the COVID-19 Using Pandora and MAX-DOAS. Aerosol and Air Quality Research. 23(6). 220145–220145. 3 indexed citations
6.
Jung, Chang Hoon, Hyung‐Min Lee, Young Jun Yoon, et al.. (2022). Parameterization of below-cloud scavenging for polydisperse fine mode aerosols as a function of rain intensity. Journal of Environmental Sciences. 132. 43–55. 6 indexed citations
7.
Park, Taehyun, Gyutae Park, Hyunjae Kim, et al.. (2022). Characterization of chemical and physical changes in atmospheric aerosols during fog processing at Baengnyeong Island, South Korea. Atmospheric Environment. 278. 119091–119091. 4 indexed citations
8.
Lee, Juhan, Jeonghoon Lee, Yongjoo Choi, et al.. (2021). Effect of Humidity on the Measurement of PM2.5. Transactions of the Korean Society of Mechanical Engineers B. 45(3). 145–153. 3 indexed citations
9.
Zhu, Chunmao, Takuma Miyakawa, Hitoshi Irie, et al.. (2021). Light-absorption properties of brown carbon aerosols in the Asian outflow: Implications of a combination of filter and ground remote-sensing observations at Fukue Island, Japan. The Science of The Total Environment. 797. 149155–149155. 4 indexed citations
10.
Kanaya, Yugo, Kazuyo Yamaji, Takuma Miyakawa, et al.. (2020). Rapid reduction in black carbon emissions from China: evidence from 2009–2019 observations on Fukue Island, Japan. Atmospheric chemistry and physics. 20(11). 6339–6356. 52 indexed citations
11.
Choi, Yongjoo, Yugo Kanaya, Masayuki Takigawa, et al.. (2020). Investigation of the wet removal rate of black carbon in East Asia: validation of a below- and in-cloud wet removal scheme in FLEXible PARTicle (FLEXPART) model v10.4. Atmospheric chemistry and physics. 20(21). 13655–13670. 21 indexed citations
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Kanaya, Yugo, Kazuyo Yamaji, Takuma Miyakawa, et al.. (2019). Rapid reduction of black carbon emissions from China: evidence from 2009–2019 observations on Fukue Island, Japan. 3 indexed citations
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16.
Ghim, Young Sung, et al.. (2018). Bias Correction for Forecasting PM2.5 Concentrations Using Measurement Data from Monitoring Stations by Region. Asian Journal of Atmospheric Environment. 12(4). 338–345. 4 indexed citations
17.
Ghim, Young Sung, et al.. (2017). Evaluation of Model Performance for Forecasting Fine Particle Concentrations in Korea. Aerosol and Air Quality Research. 17(7). 1856–1864. 12 indexed citations
18.
Choi, Yongjoo & Young Sung Ghim. (2016). Assessment of the clear-sky bias issue using continuous PM 10 data from two AERONET sites in Korea. Journal of Environmental Sciences. 53. 151–160. 6 indexed citations
19.
Ghim, Young Sung, et al.. (2014). Natural and anthropogenic influences on heavy metals in airborne particles over the Korean Peninsula. Environmental Science and Pollution Research. 21(18). 10713–10724. 3 indexed citations
20.
Browell, E. V., Michael E. Dobbs, J. T. Dobler, et al.. (2008). First Airborne Laser Remote Measurements of Atmospheric Carbon Dioxide. AGU Fall Meeting Abstracts. 2008. 4 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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