Yoojin Kang

710 total citations
18 papers, 486 citations indexed

About

Yoojin Kang is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Yoojin Kang has authored 18 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 7 papers in Environmental Engineering. Recurrent topics in Yoojin Kang's work include Fire effects on ecosystems (9 papers), Atmospheric chemistry and aerosols (8 papers) and Air Quality and Health Impacts (4 papers). Yoojin Kang is often cited by papers focused on Fire effects on ecosystems (9 papers), Atmospheric chemistry and aerosols (8 papers) and Air Quality and Health Impacts (4 papers). Yoojin Kang collaborates with scholars based in South Korea, United States and Canada. Yoojin Kang's co-authors include Jungho Im, Eunna Jang, Seohui Park, Minso Shin, Chang‐Keun Song, Sang‐Min Kim, Cheolhee Yoo, Lindi J. Quackenbush, Dongwon Lee and Jongmin Yoon and has published in prestigious journals such as Remote Sensing of Environment, Environmental Pollution and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yoojin Kang

16 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoojin Kang South Korea 8 285 233 214 143 92 18 486
Sean Raffuse United States 14 538 1.9× 260 1.1× 476 2.2× 347 2.4× 114 1.2× 32 820
M. Razu Ahmed Canada 14 303 1.1× 182 0.8× 118 0.6× 43 0.3× 18 0.2× 25 445
Lingfei Shi China 12 178 0.6× 136 0.6× 108 0.5× 44 0.3× 7 0.1× 27 342
Carlos Román‐Cascón Spain 15 340 1.2× 355 1.5× 438 2.0× 152 1.1× 7 0.1× 38 646
Huyan Fu China 12 370 1.3× 390 1.7× 207 1.0× 148 1.0× 3 0.0× 21 650
Minghui Tao China 16 426 1.5× 141 0.6× 432 2.0× 194 1.4× 8 0.1× 40 627
Muhammad Nasar Ahmad China 11 204 0.7× 150 0.6× 67 0.3× 22 0.2× 6 0.1× 25 361
Parwati Sofan Indonesia 9 198 0.7× 70 0.3× 52 0.2× 18 0.1× 16 0.2× 32 279
Hepi Hapsari Handayani Indonesia 9 143 0.5× 151 0.6× 51 0.2× 109 0.8× 5 0.1× 51 297

Countries citing papers authored by Yoojin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yoojin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoojin Kang

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

All Works

18 of 18 papers shown
2.
Kang, Yoojin, et al.. (2024). Enhancing Satellite-Based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations
3.
Kang, Yoojin, et al.. (2024). Understanding the Impact of Forest Fire on Ambient Air Quality. Journal of Korean Society for Atmospheric Environment. 40(1). 103–117. 2 indexed citations
4.
Kang, Yoojin & Jungho Im. (2024). Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach. International Journal of Applied Earth Observation and Geoinformation. 128. 103784–103784. 3 indexed citations
5.
Kang, Yoojin, et al.. (2023). Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions. Remote Sensing of Environment. 298. 113814–113814. 12 indexed citations
6.
Park, Seonyoung, et al.. (2023). Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II. Environmental Pollution. 323. 121169–121169. 16 indexed citations
7.
Kang, Yoojin, et al.. (2022). A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency. GIScience & Remote Sensing. 59(1). 2019–2035. 59 indexed citations
8.
Kang, Yoojin, et al.. (2021). Estimation of TROPOMI-derived Ground-level SO 2 Concentrations Using Machine Learning Over East Asia. National Remote Sensing Bulletin. 37(2). 275–290. 1 indexed citations
9.
Kang, Yoojin, Jungho Im, Seohui Park, et al.. (2021). Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia. Environmental Pollution. 288. 117711–117711. 118 indexed citations
10.
Kang, Yoojin, et al.. (2021). Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia. ISPRS Journal of Photogrammetry and Remote Sensing. 183. 253–268. 56 indexed citations
11.
Kang, Yoojin, et al.. (2020). Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches. National Remote Sensing Bulletin. 36. 1109–1123. 4 indexed citations
12.
Kang, Yoojin, et al.. (2020). Monitoring Ground-level SO 2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models. National Remote Sensing Bulletin. 36. 1053–1066. 3 indexed citations
13.
Kang, Yoojin, et al.. (2020). Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea. Applied Sciences. 10(22). 8213–8213. 35 indexed citations
14.
Kang, Yoojin, et al.. (2019). Spatio-temporal enhancement of forest fire risk index using weather forecast and satellite data in South Korea. Journal of the Korean Association of Geographic Information Studies. 22(4). 116–130. 2 indexed citations
15.
Jang, Eunna, Yoojin Kang, Jungho Im, et al.. (2019). Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea. Remote Sensing. 11(3). 271–271. 80 indexed citations
16.
Shin, Minso, Yoojin Kang, Seohui Park, et al.. (2019). Estimating ground-level particulate matter concentrations using satellite-based data: a review. GIScience & Remote Sensing. 57(2). 174–189. 88 indexed citations
17.
Kim, Hyun Seung, et al.. (2013). P.27: The Effect of Blue Primary Color on Preference and Colorfulness of Display. SID Symposium Digest of Technical Papers. 44(1). 1086–1088. 2 indexed citations
18.
Kang, Yoojin, et al.. (2010). Content dependent selection of image enhancement parameters for mobile displays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7866. 786608–786608. 1 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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