Sujung Go

1.1k total citations
19 papers, 235 citations indexed

About

Sujung Go is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sujung Go has authored 19 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sujung Go's work include Atmospheric aerosols and clouds (17 papers), Atmospheric chemistry and aerosols (16 papers) and Atmospheric Ozone and Climate (11 papers). Sujung Go is often cited by papers focused on Atmospheric aerosols and clouds (17 papers), Atmospheric chemistry and aerosols (16 papers) and Atmospheric Ozone and Climate (11 papers). Sujung Go collaborates with scholars based in United States, South Korea and Japan. Sujung Go's co-authors include Jhoon Kim, Omar Torres, Myungje Choi, Mijin Kim, Hyunkwang Lim, Alexei Lyapustin, Hiren Jethva, Seoyoung Lee, Ukkyo Jeong and Sergey Korkin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Atmospheric chemistry and physics.

In The Last Decade

Sujung Go

19 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujung Go United States 10 194 184 38 36 19 19 235
Daren Lv China 4 232 1.2× 224 1.2× 41 1.1× 49 1.4× 11 0.6× 10 287
Rei Kudo Japan 12 295 1.5× 312 1.7× 29 0.8× 47 1.3× 19 1.0× 31 354
Mónica Navarro-Comas Spain 10 215 1.1× 183 1.0× 18 0.5× 35 1.0× 8 0.4× 17 247
A. Alcántara Spain 7 346 1.8× 354 1.9× 33 0.9× 52 1.4× 19 1.0× 10 411
Mariana Adam Romania 11 260 1.3× 282 1.5× 36 0.9× 68 1.9× 13 0.7× 31 335
Andrés Esteban Bedoya-Velásquez Spain 11 245 1.3× 258 1.4× 39 1.0× 35 1.0× 12 0.6× 22 298
Athina Argyrouli Greece 8 200 1.0× 204 1.1× 41 1.1× 41 1.1× 9 0.5× 23 236
Makiko Nakata Japan 10 190 1.0× 197 1.1× 29 0.8× 46 1.3× 7 0.4× 52 243
Anca Nemuc Romania 8 241 1.2× 248 1.3× 38 1.0× 48 1.3× 14 0.7× 31 287
Jungbin Mok United States 10 243 1.3× 207 1.1× 26 0.7× 74 2.1× 14 0.7× 17 292

Countries citing papers authored by Sujung Go

Since Specialization
Citations

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

Fields of papers citing papers by Sujung Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujung Go

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

All Works

19 of 19 papers shown
1.
Jeong, Karpjoo, et al.. (2025). Simplified image analysis for early detection of missing and low-vigor cabbage plants using UAV RGB imagery and deep learning. Korean Journal of Agricultural Science. 52(1). 51–65. 1 indexed citations
2.
Kim, Jhoon, Sujung Go, Mijin Kim, et al.. (2024). First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia. Atmospheric measurement techniques. 17(14). 4369–4390. 8 indexed citations
3.
Kim, Minseok, Jhoon Kim, Hyunkwang Lim, et al.. (2024). Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods. Atmospheric measurement techniques. 17(14). 4317–4335. 4 indexed citations
4.
Choi, Myungje, Alexei Lyapustin, Gregory L. Schuster, et al.. (2024). Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa. Atmospheric chemistry and physics. 24(18). 10543–10565. 2 indexed citations
5.
Lyapustin, Alexei, Yujie Wang, Myungje Choi, et al.. (2023). Calibration of the SNPP and NOAA 20 VIIRS sensors for continuity of the MODIS climate data records. Remote Sensing of Environment. 295. 113717–113717. 18 indexed citations
6.
Go, Sujung, Alexei Lyapustin, Gregory L. Schuster, et al.. (2022). Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations. Atmospheric chemistry and physics. 22(2). 1395–1423. 22 indexed citations
7.
Go, Sujung, et al.. (2022). Temporal variability of surface air pollutants in megacities of South Korea. Frontiers in Environmental Science. 10. 10 indexed citations
8.
Kim, Sang‐Min, Ja‐Ho Koo, Hana Lee, et al.. (2021). Comparison of PM2.5 in Seoul, Korea Estimated from the Various Ground-Based and Satellite AOD. Applied Sciences. 11(22). 10755–10755. 16 indexed citations
9.
Lim, Hyunkwang, Sujung Go, Jhoon Kim, et al.. (2021). Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns. Atmospheric measurement techniques. 14(6). 4575–4592. 16 indexed citations
10.
Lyapustin, Alexei, Sujung Go, Myungje Choi, et al.. (2021). Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm. SHILAP Revista de lepidopterología. 2. 6 indexed citations
11.
Lyapustin, Alexei, Sujung Go, Sergey Korkin, et al.. (2021). Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC. Frontiers in Remote Sensing. 2. 18 indexed citations
12.
Go, Sujung, Jhoon Kim, Sang Seo Park, et al.. (2020). Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product. Remote Sensing. 12(23). 3987–3987. 17 indexed citations
13.
Go, Sujung, Jhoon Kim, Jungbin Mok, et al.. (2020). Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements. Remote Sensing of Environment. 245. 111759–111759. 9 indexed citations
14.
Mok, Jungbin, N. A. Krotkov, Omar Torres, et al.. (2018). Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea. Atmospheric measurement techniques. 11(4). 2295–2311. 32 indexed citations
15.
Lim, Hyunkwang, Myungje Choi, Mijin Kim, et al.. (2018). Intercomparing the Aerosol Optical Depth Using the Geostationary Satellite Sensors (AHI, GOCI and MI) from Yonsei AErosol Retrieval (YAER) Algorithm. Journal of the Korean earth science society. 39(2). 119–130. 4 indexed citations
16.
Kim, Mijin, Jhoon Kim, Omar Torres, et al.. (2018). Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia. Remote Sensing. 10(2). 162–162. 39 indexed citations
17.
Mok, Jungbin, N. A. Krotkov, Omar Torres, et al.. (2017). Comparisons of spectral aerosol absorption in Seoul, South Korea. 6 indexed citations
18.
Kim, Mijin, Myungje Choi, Sujung Go, et al.. (2017). Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT. Remote Sensing. 9(7). 687–687. 3 indexed citations
19.
Go, Sujung, Mijin Kim, Jhoon Kim, et al.. (2017). Detection of Absorbing Aerosol Using Single Near-UV Radiance Measurements from a Cloud and Aerosol Imager. Remote Sensing. 9(4). 378–378. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026