Dongjin Cho

734 total citations
23 papers, 538 citations indexed

About

Dongjin Cho is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Dongjin Cho has authored 23 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 12 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Dongjin Cho's work include Urban Heat Island Mitigation (11 papers), Meteorological Phenomena and Simulations (7 papers) and Climate variability and models (5 papers). Dongjin Cho is often cited by papers focused on Urban Heat Island Mitigation (11 papers), Meteorological Phenomena and Simulations (7 papers) and Climate variability and models (5 papers). Dongjin Cho collaborates with scholars based in South Korea, Hong Kong and Germany. Dongjin Cho's co-authors include Jungho Im, Cheolhee Yoo, Dong‐Hyun Cha, Miae Kim, Yoojin Kang, Naoto Yokoya, Daehyeon Han, Junshi Xia, Benjamin Bechtel and Soomin Park and has published in prestigious journals such as The Science of The Total Environment, Quarterly Journal of the Royal Meteorological Society and Remote Sensing.

In The Last Decade

Dongjin Cho

21 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongjin Cho South Korea 12 309 286 224 83 64 23 538
Jiangfeng She China 12 158 0.5× 156 0.5× 138 0.6× 161 1.9× 34 0.5× 50 521
Zhigao Zhou China 12 103 0.3× 167 0.6× 334 1.5× 81 1.0× 77 1.2× 16 467
Hongzhao Tang China 11 232 0.8× 183 0.6× 120 0.5× 149 1.8× 24 0.4× 35 483
Mariano Sastre Spain 16 340 1.1× 532 1.9× 440 2.0× 162 2.0× 16 0.3× 43 768
Jinxin Yang China 13 490 1.6× 204 0.7× 242 1.1× 227 2.7× 21 0.3× 33 599
Shufu Liu China 6 308 1.0× 93 0.3× 114 0.5× 227 2.7× 32 0.5× 14 446
Vahagn Muradyan Armenia 9 154 0.5× 73 0.3× 134 0.6× 66 0.8× 40 0.6× 29 340
Hui Zheng China 13 167 0.5× 194 0.7× 175 0.8× 152 1.8× 23 0.4× 33 470
Carlos Román‐Cascón Spain 15 355 1.1× 438 1.5× 340 1.5× 152 1.8× 14 0.2× 38 646
Hunter Brown United States 11 115 0.4× 284 1.0× 250 1.1× 84 1.0× 12 0.2× 37 510

Countries citing papers authored by Dongjin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Dongjin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongjin Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Dongjin Cho. A scholar is included among the top collaborators of Dongjin Cho 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 Dongjin Cho. Dongjin Cho 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.
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.
2.
Kim, Young‐Seok, et al.. (2024). Impact of COVID-19 on the Urban Heat Island in Daegu Using Downscaled Land Surface Temperature. Korean Journal of Remote Sensing. 40(6). 1109–1125. 2 indexed citations
3.
Cho, Dongjin, et al.. (2024). Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence. npj Climate and Atmospheric Science. 7(1). 4 indexed citations
4.
5.
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
6.
Yoo, Cheolhee, et al.. (2023). Diurnal urban heat risk assessment using extreme air temperatures and real-time population data in Seoul. iScience. 26(11). 108123–108123. 19 indexed citations
7.
Cho, Dongjin, et al.. (2023). A new statistical downscaling approach for short‐term forecasting of summer air temperatures through a fusion of deep learning and spatial interpolation. Quarterly Journal of the Royal Meteorological Society. 150(760). 1222–1242. 4 indexed citations
8.
9.
Cho, Dongjin, et al.. (2022). All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning. Remote Sensing. 14(8). 1815–1815. 29 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.
Song, Yun-Ho, et al.. (2021). Use of Pb Isotopes to Track the Sources of Sediment Metals in Youngil Bay, Korea and Offshore. Ocean Science Journal. 57(1). 52–60. 1 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.
Cho, Dongjin, et al.. (2020). Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique. GIScience & Remote Sensing. 57(5). 633–649. 57 indexed citations
16.
Yoo, Cheolhee, et al.. (2020). Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks. Remote Sensing. 12(21). 3552–3552. 39 indexed citations
17.
Cho, Dongjin, Cheolhee Yoo, Jungho Im, & Dong‐Hyun Cha. (2020). Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas. Earth and Space Science. 7(4). 130 indexed citations
18.
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
19.
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
20.
Choi, Man‐Sik, et al.. (2015). Tracing metal sources in core sediments of the artificial lake An-Dong, Korea: Concentration and metal association. The Science of The Total Environment. 527-528. 384–392. 23 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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