Seohui Park

851 total citations
19 papers, 610 citations indexed

About

Seohui Park is a scholar working on Atmospheric Science, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Seohui Park has authored 19 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 9 papers in Environmental Engineering and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Seohui Park's work include Atmospheric chemistry and aerosols (11 papers), Air Quality Monitoring and Forecasting (9 papers) and Air Quality and Health Impacts (8 papers). Seohui Park is often cited by papers focused on Atmospheric chemistry and aerosols (11 papers), Air Quality Monitoring and Forecasting (9 papers) and Air Quality and Health Impacts (8 papers). Seohui Park collaborates with scholars based in South Korea, United States and China. Seohui Park's co-authors include Jungho Im, Minso Shin, Cheolhee Yoo, Chang‐Keun Song, Yoojin Kang, Lindi J. Quackenbush, Hyangsun Han, Jinyoung Rhee, Seonyoung Park and Sang‐Min Kim and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Hazardous Materials.

In The Last Decade

Seohui Park

17 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seohui Park South Korea 10 329 327 257 229 113 19 610
Wenping Yu China 15 416 1.3× 298 0.9× 316 1.2× 93 0.4× 177 1.6× 32 653
R. Oltra-Carrió Spain 10 500 1.5× 192 0.6× 235 0.9× 181 0.8× 97 0.9× 14 573
Menglin Si China 9 551 1.7× 405 1.2× 299 1.2× 277 1.2× 59 0.5× 24 722
Minghui Tao China 16 141 0.4× 432 1.3× 426 1.7× 194 0.8× 47 0.4× 40 627
Shanshan Chen China 15 362 1.1× 97 0.3× 287 1.1× 228 1.0× 66 0.6× 40 592
Kok Chooi Tan Malaysia 9 182 0.6× 170 0.5× 226 0.9× 83 0.4× 73 0.6× 33 415
Erin B. Wetherley United States 10 219 0.7× 110 0.3× 287 1.1× 118 0.5× 106 0.9× 14 495
Yongquan Zhao China 13 242 0.7× 164 0.5× 292 1.1× 148 0.6× 122 1.1× 33 580
Xiaoyi Cao China 9 187 0.6× 114 0.3× 121 0.5× 58 0.3× 116 1.0× 16 364

Countries citing papers authored by Seohui Park

Since Specialization
Citations

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

Fields of papers citing papers by Seohui Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seohui Park

This figure shows the co-authorship network connecting the top 25 collaborators of Seohui Park. A scholar is included among the top collaborators of Seohui Park 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 Seohui Park. Seohui Park 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.
Kim, Yejin, et al.. (2025). Comprehensive 24-hour ground-level ozone monitoring: Leveraging machine learning for full-coverage estimation in East Asia. Journal of Hazardous Materials. 488. 137369–137369. 1 indexed citations
2.
Park, Seohui, et al.. (2025). Hour by Hour PM2.5 Mapping Using Geostationary Satellites. ACS ES&T Air. 2(9). 1816–1830. 2 indexed citations
3.
Hur, Jae, Seohui Park, Guanglong Xu, et al.. (2024). Role of solute elements in Mg-Mg2Ni hydrogen storage alloys: A first-principles calculation study. Journal of Magnesium and Alloys. 12(11). 4574–4593. 13 indexed citations
4.
Song, Chul Han, Sojin Lee, Hyun S. Kim, et al.. (2023). Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability. npj Climate and Atmospheric Science. 6(1). 2 indexed citations
5.
Park, Seohui, et al.. (2022). Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia. Environmental Pollution. 306. 119425–119425. 13 indexed citations
6.
Park, Seohui, Miae Kim, & Jungho Im. (2021). Estimation of Ground-level PM 10 and PM 2.5 Concentrations Using Boosting-based Machine Learning from Satellite and Numerical Weather Prediction Data. National Remote Sensing Bulletin. 37(2). 321–335. 6 indexed citations
7.
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
8.
9.
Park, Seohui, et al.. (2021). Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD. Geophysical Research Letters. 49(1). 21 indexed citations
10.
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
11.
Park, Seohui, Byung-Chull Bae, & Yun-Gyung Cheong. (2020). Emotion Recognition from Text Stories Using an Emotion Embedding Model. 579–583. 30 indexed citations
12.
Park, Seohui, Junghee Lee, Jungho Im, et al.. (2020). Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models. The Science of The Total Environment. 713. 136516–136516. 57 indexed citations
13.
Son, Bokyung, Soomin Park, Jungho Im, et al.. (2020). A new drought monitoring approach: Vector Projection Analysis (VPA). Remote Sensing of Environment. 252. 112145–112145. 35 indexed citations
14.
Ogai, Kazuhiro, Kohei Ogura, Seohui Park, et al.. (2020). Stability of Skin Microbiome at Sacral Regions of Healthy Young Adults, Ambulatory Older Adults, and Bedridden Older Patients After 2 Years. Biological Research For Nursing. 23(1). 82–90. 5 indexed citations
15.
Park, Seohui, Minso Shin, Jungho Im, et al.. (2019). Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea. Atmospheric chemistry and physics. 19(2). 1097–1113. 78 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.
Park, Seonyoung, Jungho Im, Seohui Park, et al.. (2018). Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data. Remote Sensing. 10(3). 447–447. 133 indexed citations
18.
Park, Seohui & Jin‐Hyun Kim. (2018). Isotherm, Kinetic, and Thermodynamic Characteristics for Adsorption of 2,5-Xylenol onto Activated Carbon. Biotechnology and Bioprocess Engineering. 23(5). 541–549. 4 indexed citations
19.
Kim, Ye‐Sol, et al.. (2017). 파클리탁셀의 잔류 펜탄 제거를 위한 회전증발의 동역학 및 열역학에 관한 연구. Korean Journal of Chemical Engineering. 55(6). 807–815. 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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