Yong Pyo Kim

5.2k total citations
134 papers, 3.9k citations indexed

About

Yong Pyo Kim is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Yong Pyo Kim has authored 134 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Atmospheric Science, 75 papers in Health, Toxicology and Mutagenesis and 30 papers in Global and Planetary Change. Recurrent topics in Yong Pyo Kim's work include Atmospheric chemistry and aerosols (98 papers), Air Quality and Health Impacts (68 papers) and Vehicle emissions and performance (26 papers). Yong Pyo Kim is often cited by papers focused on Atmospheric chemistry and aerosols (98 papers), Air Quality and Health Impacts (68 papers) and Vehicle emissions and performance (26 papers). Yong Pyo Kim collaborates with scholars based in South Korea, United States and Hong Kong. Yong Pyo Kim's co-authors include John H. Seinfeld, Kwangsam Na, Pradeep Saxena, Kil-Choo Moon, Ji Yi Lee, Chang Hoon Jung, Soo Ya Bae, Il Moon, Gangwoong Lee and Jong‐Hoon Lee and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Yong Pyo Kim

126 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Pyo Kim South Korea 34 2.8k 2.5k 889 872 565 134 3.9k
Xin Yang China 37 2.4k 0.8× 1.8k 0.7× 1.1k 1.3× 749 0.9× 716 1.3× 122 3.4k
Myoseon Jang United States 33 3.8k 1.3× 3.2k 1.3× 1.0k 1.1× 912 1.0× 443 0.8× 83 4.5k
Jana B. Milford United States 35 2.0k 0.7× 1.8k 0.7× 777 0.9× 788 0.9× 538 1.0× 87 3.3k
Yujing Mu China 42 3.3k 1.2× 2.5k 1.0× 1.5k 1.7× 1.1k 1.3× 550 1.0× 189 5.5k
Stephanie L. Shaw United States 31 2.6k 0.9× 1.6k 0.6× 774 0.9× 1.0k 1.2× 370 0.7× 72 3.9k
John Liggio Canada 35 3.2k 1.1× 2.6k 1.1× 705 0.8× 1.3k 1.5× 484 0.9× 104 4.1k
Song Gao China 28 2.5k 0.9× 1.8k 0.7× 671 0.8× 1.1k 1.3× 224 0.4× 72 3.5k
Christopher G. Nolte United States 33 3.2k 1.1× 2.3k 0.9× 579 0.7× 1.8k 2.0× 516 0.9× 63 4.2k
Golam Sarwar United States 37 3.1k 1.1× 3.0k 1.2× 1.1k 1.2× 1.2k 1.4× 487 0.9× 99 4.4k
Charles O. Stanier United States 36 3.8k 1.3× 3.3k 1.3× 939 1.1× 1.5k 1.8× 830 1.5× 73 4.8k

Countries citing papers authored by Yong Pyo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yong Pyo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong Pyo Kim. 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 Yong Pyo Kim. The network helps show where Yong Pyo Kim may publish in the future.

Co-authorship network of co-authors of Yong Pyo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Pyo Kim. A scholar is included among the top collaborators of Yong Pyo Kim 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 Yong Pyo Kim. Yong Pyo Kim 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.
Kim, Yong Pyo, et al.. (2025). Long-term visibility trend representing perceived air quality in the Republic of Korea. Atmospheric Pollution Research. 16(3). 102422–102422. 1 indexed citations
3.
Kim, Eunhye, Byeong-Uk Kim, Hyun Cheol Kim, et al.. (2024). North Korean CO emissions reconstruction using DMZ ground observations, TROPOMI space-borne data, and the CMAQ air quality model. The Science of The Total Environment. 921. 171059–171059. 4 indexed citations
4.
Kim, Yong Pyo, et al.. (2023). Estimation of Air Pollutant Emissions from Heavy Industry Sector in North Korea. Aerosol and Air Quality Research. 23(7). 230066–230066. 3 indexed citations
5.
Seo, Jihoon, et al.. (2023). A visibility-based estimation of PM2.5 concentrations in Pyongyang, North Korea: Current status and long-term trends. Journal of Cleaner Production. 388. 136007–136007. 7 indexed citations
6.
Kim, Yong Pyo, et al.. (2023). Impact of ozonation on the formation of particulate nitrosodi-methylamine (NDMA) in atmosphere. Chemosphere. 349. 140794–140794. 3 indexed citations
7.
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
8.
Ahn, Yun Gyong, Ji Yi Lee, Eunhye Kim, et al.. (2021). Particulate Nitrosamines and Nitramines in Seoul and Their Major Sources: Primary Emission versus Secondary Formation. Environmental Science & Technology. 55(12). 7841–7849. 12 indexed citations
9.
Kim, Yong Pyo, et al.. (2020). Validation for SOC Estimation from OC and EC concentration in PM 2.5 measured at Seoul. 16(1). 19–30. 2 indexed citations
10.
Kim, Yong Pyo, Saewung Kim, Jong‐Ho Kim, & Taehyoung Lee. (2020). Estimation of SO2 emissions in large point sources at Dangjin City using airborne measurements. 16(4). 107–117.
11.
Jung, Chang Hoon, Young Jun Yoon, Junshik Um, et al.. (2020). Approximated expression of the hygroscopic growth factor for polydispersed aerosols. Journal of Aerosol Science. 151. 105670–105670. 5 indexed citations
12.
Lee, Ji Yi, et al.. (2015). Seasonal Variation of Concentrations and Sources for n-alkanes in PM 10 Measured in Seoul. 18(2). 93–100. 1 indexed citations
13.
Lee, Ji Yi, et al.. (2014). An Internal Thermal Desorption-Gas Chromatography/ Mass Spectrometry Method for Analysis of Non-polar Organic Compounds in Ambient Aerosol Samples. 17(1). 54–61. 1 indexed citations
14.
Kim, Yong Pyo. (2010). Analysis of the trend of atmospheric PM10 concentration over the Seoul Metropolitan Area between 1999 and 2008. Journal of Environmental Impact Assessment. 19(1). 59–74. 10 indexed citations
15.
Lee, Ji Yi, Seung‐Muk Yi, & Yong Pyo Kim. (2006). Size Distributions and Dry Deposition Fluxes of Particulate Polycyclic Aromatic Hydrocarbons (PAHs) at Several Sites in Korea in 1999. Environmental Engineering Science. 23(2). 393–404. 4 indexed citations
16.
Kim, Yong Pyo, et al.. (2005). Sensitivity of Particle Mass Concentration to the Ambient Ionic Concentration Changes in Seoul. Seoul Studies. 6(1). 59–70. 1 indexed citations
17.
Yi, Seung‐Muk, et al.. (2002). Characteristics of Ambient Metals: Size Segregated Ambient Concentrations and Dry Deposition Fluxes at Four Sites n Kunpo in 2000. Journal of Korean Society for Atmospheric Environment. 18. 57–68.
18.
Kim, Yong Pyo, et al.. (2000). The Composition of Non-methane Hydrocarbons Determined from a Tunnel of Seoul During Winter 2000. Journal of Korean Society for Atmospheric Environment. 16. 69–77. 2 indexed citations
19.
Kim, Jin Young, Young Sung Ghim, & Yong Pyo Kim. (1999). Photochemical Modeling of July 1994 High-Ozone Episode in the Greater Seoul Area. Journal of Korean Society for Atmospheric Environment. 15. 55–64. 1 indexed citations
20.
Kim, Yong Pyo, et al.. (1998). Recovery of Lead using Encapsulated S. cerevisiae. Korean Journal of Chemical Engineering. 36(2). 229–229. 3 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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