Cheolhee Yoo

1.6k total citations
36 papers, 1.1k citations indexed

About

Cheolhee Yoo is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Cheolhee Yoo has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 21 papers in Environmental Engineering and 19 papers in Global and Planetary Change. Recurrent topics in Cheolhee Yoo's work include Urban Heat Island Mitigation (19 papers), Land Use and Ecosystem Services (9 papers) and Remote Sensing and Land Use (8 papers). Cheolhee Yoo is often cited by papers focused on Urban Heat Island Mitigation (19 papers), Land Use and Ecosystem Services (9 papers) and Remote Sensing and Land Use (8 papers). Cheolhee Yoo collaborates with scholars based in South Korea, Hong Kong and United States. Cheolhee Yoo's co-authors include Jungho Im, Dongjin Cho, Seonyoung Park, Daehyeon Han, Benjamin Bechtel, Lindi J. Quackenbush, Dong‐Hyun Cha, Seohui Park, Jinyoung Rhee and Hyangsun Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hydrology.

In The Last Decade

Cheolhee Yoo

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheolhee Yoo South Korea 17 696 529 494 217 191 36 1.1k
Guofei Shang China 14 867 1.2× 610 1.2× 478 1.0× 152 0.7× 180 0.9× 65 1.2k
Zina Mitraka Greece 16 685 1.0× 276 0.5× 574 1.2× 177 0.8× 360 1.9× 55 1.1k
Dongjie Fu China 20 509 0.7× 288 0.5× 735 1.5× 191 0.9× 496 2.6× 58 1.4k
Zhaocong Wu China 14 690 1.0× 349 0.7× 472 1.0× 248 1.1× 304 1.6× 53 1.3k
Yoshifumi Yasuoka Japan 13 760 1.1× 356 0.7× 565 1.1× 411 1.9× 224 1.2× 63 1.4k
Ke‐Sheng Cheng Taiwan 18 393 0.6× 336 0.6× 565 1.1× 170 0.8× 194 1.0× 59 1.1k
Jingli Yan China 17 548 0.8× 274 0.5× 558 1.1× 500 2.3× 307 1.6× 33 1.2k
Baojuan Zheng United States 13 662 1.0× 185 0.3× 523 1.1× 342 1.6× 534 2.8× 23 1.2k
Saeid Hamzeh Iran 19 447 0.6× 195 0.4× 338 0.7× 129 0.6× 254 1.3× 51 905
Thoreau Rory Tooke Canada 13 483 0.7× 105 0.2× 435 0.9× 215 1.0× 174 0.9× 20 813

Countries citing papers authored by Cheolhee Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Cheolhee Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheolhee Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Cheolhee Yoo. A scholar is included among the top collaborators of Cheolhee Yoo 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 Cheolhee Yoo. Cheolhee Yoo 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.
Chen, Jie, Geng Sun, Yongze Song, et al.. (2025). Global variations of urban form: Characterization and quantification through intelligent remote sensing image analysis. Sustainable Cities and Society. 127. 106424–106424.
2.
Yoo, Cheolhee, et al.. (2025). Mapping 10-m Industrial Lands across 1000+ Global Large Cities, 2017–2023. Scientific Data. 12(1). 278–278. 4 indexed citations
3.
Cho, Dongjin, et al.. (2025). Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions. International Journal of Applied Earth Observation and Geoinformation. 138. 104468–104468.
4.
Yoo, Cheolhee, et al.. (2025). A 3-dimension urban growth analysis using local climate zone mapping. GIScience & Remote Sensing. 62(1).
5.
Jia, Siqi, et al.. (2024). Multiscale estimation of the cooling effect of urban greenspace in subtropical and tropical cities. Urban forestry & urban greening. 98. 128390–128390. 10 indexed citations
6.
Yoo, Cheolhee, et al.. (2024). Unequal impacts of urban industrial land expansion on economic growth and carbon dioxide emissions. Communications Earth & Environment. 5(1). 12 indexed citations
7.
Yoo, Cheolhee, et al.. (2024). Differences in LCZ composition according to urban planning and impacts on urban thermal environment. Energy and Buildings. 314. 114272–114272. 7 indexed citations
8.
Park, Seonyoung, et al.. (2023). Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia. Atmospheric Environment. 309. 119951–119951. 9 indexed citations
9.
Yoo, Cheolhee, et al.. (2023). A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea. International Journal of Applied Earth Observation and Geoinformation. 122. 103408–103408. 15 indexed citations
10.
11.
Yoo, Cheolhee, et al.. (2022). High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension. Remote Sensing. 14(3). 575–575. 23 indexed citations
12.
13.
Yoo, Cheolhee, Jungho Im, Soomin Park, & Dongjin Cho. (2020). Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions. National Remote Sensing Bulletin. 36(4). 609–626. 23 indexed citations
14.
Yoo, Cheolhee, Jungho Im, Dongjin Cho, et al.. (2020). Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days. Remote Sensing. 12(9). 1398–1398. 46 indexed citations
15.
Yoo, Cheolhee, et al.. (2019). Improvement of Spatial Interpolation Accuracy of Daily Maximum Air Temperature Using Stacking Ensemble Technique. AGU Fall Meeting Abstracts. 2019.
16.
Yoo, Cheolhee, Seonyoung Park, Yeji Kim, & Dongjin Cho. (2019). Analysis of Thermal Environment by Urban Expansion using KOMPSAT and Landsat 8: Sejong City. National Remote Sensing Bulletin. 35(6). 1403–1415. 1 indexed citations
17.
Yoo, Cheolhee, Daehyeon Han, Jungho Im, & Benjamin Bechtel. (2019). Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images. ISPRS Journal of Photogrammetry and Remote Sensing. 157. 155–170. 168 indexed citations
18.
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
19.
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
20.
Yoo, Cheolhee, Jungho Im, Seonyoung Park, & Dongjin Cho. (2017). Thermal Characteristics of Daegu using Land Cover Data and Satellite-derived Surface Temperature Downscaled Based on Machine Learning. National Remote Sensing Bulletin. 33(6). 1101–1118. 8 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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