Ukkyo Jeong

2.8k total citations · 1 hit paper
39 papers, 1.7k citations indexed

About

Ukkyo Jeong is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ukkyo Jeong has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 28 papers in Global and Planetary Change and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ukkyo Jeong's work include Atmospheric chemistry and aerosols (28 papers), Atmospheric Ozone and Climate (21 papers) and Atmospheric aerosols and clouds (16 papers). Ukkyo Jeong is often cited by papers focused on Atmospheric chemistry and aerosols (28 papers), Atmospheric Ozone and Climate (21 papers) and Atmospheric aerosols and clouds (16 papers). Ukkyo Jeong collaborates with scholars based in South Korea, United States and Japan. Ukkyo Jeong's co-authors include Yunlong Xia, Hong Yang, Yuliang Wang, Xiaowei Teng, Younan Xia, Jhoon Kim, Yi Wang, Marta Ibisate, Hanlim Lee and Hyunkee Hong and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Atmospheric Environment.

In The Last Decade

Ukkyo Jeong

37 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Superparamagnetic Colloids: Controlled Synthesis and Niche Applications

2006 790 citations Ukkyo Jeong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ukkyo Jeong South Korea	16	614	529	375	365	293	39	1.7k
Daisuke Kodama Japan	24	459 0.7×	267 0.5×	127 0.3×	658 1.8×	159 0.5×	99	1.9k
Feng Jiang China	22	1.2k 1.9×	295 0.6×	120 0.3×	502 1.4×	323 1.1×	71	2.0k
Qifan Liu China	24	126 0.2×	427 0.8×	206 0.5×	420 1.2×	83 0.3×	82	1.8k
Shufeng Pang China	19	216 0.4×	531 1.0×	356 0.9×	58 0.2×	67 0.2×	75	1.0k
Q. Liu China	13	339 0.6×	294 0.6×	217 0.6×	86 0.2×	110 0.4×	21	984
Weinan Leng United States	26	535 0.9×	92 0.2×	48 0.1×	523 1.4×	58 0.2×	56	1.8k
Chunhui Li China	20	344 0.6×	148 0.3×	142 0.4×	190 0.5×	125 0.4×	87	1.2k

Countries citing papers authored by Ukkyo Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Ukkyo Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ukkyo Jeong

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

All Works

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20 of 20 papers shown

Kim, Si‐Wan, Kyoung‐Min Kim, Andreas Richter, et al.. (2025). Diurnal variations of NO ₂ tropospheric vertical column density over the Seoul metropolitan area from the Geostationary Environment Monitoring Spectrometer (GEMS): seasonal differences and the influence of the a priori NO ₂ profile. Atmospheric measurement techniques. 18(1). 115–128. 2 indexed citations

Park, Junsung, et al.. (2025). Evaluation of GEMS NO ₂ Retrieval Algorithm Version 2.0 and 3.0 Using TROPOMI and Pandora Observations. Korean Journal of Remote Sensing. 41(5). 803–811.

Jeong, Ukkyo, et al.. (2024). Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS). Atmospheric measurement techniques. 17(18). 5601–5618. 3 indexed citations

Choi, Haklim, Xiong Liu, Ukkyo Jeong, et al.. (2024). Geostationary Environment Monitoring Spectrometer (GEMS) polarization characteristics and correction algorithm. Atmospheric measurement techniques. 17(1). 145–164. 3 indexed citations

Kim, Daewon, Hyunkee Hong, Lim‐Seok Chang, et al.. (2023). First-time comparison between NO ₂ vertical columns from Geostationary Environmental Monitoring Spectrometer (GEMS) and Pandora measurements. Atmospheric measurement techniques. 16(16). 3959–3972. 15 indexed citations

Jeong, Ukkyo, Si‐Chee Tsay, N. Christina Hsu, et al.. (2022). Simultaneous retrievals of biomass burning aerosols and trace gases from the ultraviolet to near-infrared over northern Thailand during the 2019 pre-monsoon season. Atmospheric chemistry and physics. 22(18). 11957–11986. 1 indexed citations

Wen, Guoyong, Alexander Marshak, Si‐Chee Tsay, et al.. (2020). Changes in the surface broadband shortwave radiation budget during the 2017 eclipse. Atmospheric chemistry and physics. 20(17). 10477–10491. 2 indexed citations

Kang, Mina, Myoung‐Hwan Ahn, Xiong Liu, Ukkyo Jeong, & Jhoon Kim. (2020). Spectral Calibration Algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS). Remote Sensing. 12(17). 2846–2846. 16 indexed citations

Choi, Haklim, Ukkyo Jeong, Xiong Liu, et al.. (2019). On-orbit polarization correction of GEMS. EGU General Assembly Conference Abstracts. 4738. 1 indexed citations

10.

Hong, Hyunkee, et al.. (2017). Investigation of Simultaneous Effects of Aerosol Properties and Aerosol Peak Height on the Air Mass Factors for Space-Borne NO2 Retrievals. Remote Sensing. 9(3). 208–208. 25 indexed citations

11.

Kim, Minkyu, Jhoon Kim, Ukkyo Jeong, et al.. (2016). Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS). Atmospheric chemistry and physics. 16(3). 1789–1808. 27 indexed citations

12.

Choi, Myungje, Jhoon Kim, Jaehwa Lee, et al.. (2016). GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign. Atmospheric measurement techniques. 9(3). 1377–1398. 86 indexed citations

13.

Jeong, Ukkyo, Jhoon Kim, C. Ahn, et al.. (2016). An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations. Atmospheric chemistry and physics. 16(1). 177–193. 32 indexed citations

14.

Kim, Jhoon, Ukkyo Jeong, B. N. Holben, et al.. (2015). Improvements in AOD retrieval from geostationary measurements over Asia with aerosol optical properties derived from the DRAGON-Asia campaign. 1 indexed citations

15.

Seo, Sora, Jhoon Kim, Ukkyo Jeong, et al.. (2015). Estimation of PM ₁₀ concentrations over Seoul using multiple empirical models with AERONET and MODIS data collected during the DRAGON-Asia campaign. Atmospheric chemistry and physics. 15(1). 319–334. 49 indexed citations

16.

Jeong, Ukkyo, Jhoon Kim, C. Ahn, et al.. (2015). An online aerosol retrieval algorithm using OMI near-UV observations based on the optimal estimation method. 1 indexed citations

17.

Kim, Jhoon, et al.. (2015). Monitoring Atmospheric Composition by GEO-KOMPSAT-1 and 2. 한국기상학회 학술대회 논문집. 2–2.

18.

Seo, Sora, Jhoon Kim, Ukkyo Jeong, et al.. (2014). Spatio-temporal variations in PM ₁₀ concentrations over Seoul estimated using multiple empirical models together with AERONET and MODIS data collected during the DRAGON-Asia campaign. 1 indexed citations

19.

Lee, Hanlim, et al.. (2013). Inter-comparison of NO₂ column densities measured by Pandora and OMI over Seoul, Korea. Korean Journal of Remote Sensing. 29(6). 663–670. 3 indexed citations

20.

Kim, Woogyung, Hanlim Lee, Jhoon Kim, Ukkyo Jeong, & Kweon Jung. (2012). Estimation of seasonal diurnal variations in primary and secondary organic carbon concentrations in the urban atmosphere: EC tracer and multiple regression approaches. Atmospheric Environment. 56. 101–108. 28 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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