Chang-Suck Lee

976 total citations
90 papers, 797 citations indexed

About

Chang-Suck Lee is a scholar working on Plant Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Chang-Suck Lee has authored 90 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 26 papers in Global and Planetary Change and 19 papers in Ecology. Recurrent topics in Chang-Suck Lee's work include Ecology and Conservation Studies (26 papers), Remote Sensing in Agriculture (14 papers) and Ecology and Vegetation Dynamics Studies (12 papers). Chang-Suck Lee is often cited by papers focused on Ecology and Conservation Studies (26 papers), Remote Sensing in Agriculture (14 papers) and Ecology and Vegetation Dynamics Studies (12 papers). Chang-Suck Lee collaborates with scholars based in South Korea, United States and France. Chang-Suck Lee's co-authors include Jong‐Min Yeom, Hoonbok Yi, Kyung‐Soo Han, June Dong Park, Seonyoung Park, Haedo Jeong, Yong‐Chan Cho, Seungtaek Jeong, Larisa Lvova and Geun Sig and has published in prestigious journals such as Analytical Chemistry, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Chang-Suck Lee

81 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-Suck Lee South Korea 14 199 154 139 137 131 90 797
Zhihui Wang China 18 349 1.8× 138 0.9× 123 0.9× 185 1.4× 229 1.7× 127 1.3k
Peng Lü China 22 93 0.5× 76 0.5× 224 1.6× 152 1.1× 289 2.2× 84 1.5k
Jinsong Chen China 16 85 0.4× 129 0.8× 111 0.8× 145 1.1× 183 1.4× 64 811
Qiao Chen China 20 273 1.4× 67 0.4× 91 0.7× 210 1.5× 265 2.0× 78 1.0k
Christine Lee United States 16 285 1.4× 85 0.6× 53 0.4× 211 1.5× 305 2.3× 66 1.4k
C.P. Lund Australia 15 263 1.3× 90 0.6× 178 1.3× 56 0.4× 109 0.8× 64 944
Roger Timmis United Kingdom 19 236 1.2× 203 1.3× 338 2.4× 101 0.7× 49 0.4× 59 957
Fan Sun China 20 369 1.9× 163 1.1× 86 0.6× 60 0.4× 134 1.0× 58 1.0k
Wu Sun United States 14 393 2.0× 168 1.1× 130 0.9× 62 0.5× 120 0.9× 45 672
Wenxuan Xu China 21 348 1.7× 128 0.8× 54 0.4× 112 0.8× 298 2.3× 98 1.4k

Countries citing papers authored by Chang-Suck Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Suck Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Suck Lee. 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 Chang-Suck Lee. The network helps show where Chang-Suck Lee may publish in the future.

Co-authorship network of co-authors of Chang-Suck Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Suck Lee. A scholar is included among the top collaborators of Chang-Suck Lee 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 Chang-Suck Lee. Chang-Suck Lee 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.
Lee, Chang-Suck, et al.. (2021). Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite and Reanalysis Data via Deep Learning. Remote Sensing. 13(11). 2121–2121. 17 indexed citations
2.
Yeom, Jong‐Min, Ravinesh C. Deo, Jan Adamowski, Seonyoung Park, & Chang-Suck Lee. (2020). Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea. Environmental Research Letters. 15(9). 94025–94025. 31 indexed citations
3.
Lee, Chang-Suck, et al.. (2020). Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument. Remote Sensing. 12(15). 2500–2500. 13 indexed citations
4.
5.
Yeom, Jong‐Min, Jonghan Ko, Jisoo Hwang, et al.. (2018). Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II. Remote Sensing. 10(5). 697–697. 10 indexed citations
6.
Lee, Chang-Suck, Jong‐Min Yeom, Jinkyu Hong, et al.. (2017). Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system. GIScience & Remote Sensing. 55(1). 38–62. 5 indexed citations
7.
Cho, Yong‐Chan, et al.. (2011). Early Successional Change of Vegetation Composition After Clear Cutting in Pinus densiflora Stands in Southern Gangwon Province. Journal of Korean Society of Forest Science. 100(2). 240–245. 3 indexed citations
8.
Lee, Chang-Suck, et al.. (2011). A Study on the Determinant Factor of Intention to Use into Paid Welfare Facilities for the Aged - Around Preliminary Demander -. 226–242. 1 indexed citations
9.
Lee, Chang-Suck, et al.. (2010). A Study on the Eco-Environmental Change of Coastal Area by the Sea Level Rise. Journal of the Korean Association of Geographic Information Studies. 13(3). 53–63. 3 indexed citations
10.
Lee, Chang-Suck & Kyung‐Soo Han. (2009). An improvement of Simplified Atmospheric Correction : MODIS Visible Channel. National Remote Sensing Bulletin. 25(6). 487–499.
11.
Kim, Moon-Chan & Chang-Suck Lee. (2008). It's effects for engine emission of water/oil emulsified fuel. Analytical Science and Technology. 21(3). 159–166. 7 indexed citations
12.
Yeom, Jong‐Min, et al.. (2008). An Improved Validation Technique for the Temporal Discrepancy when Estimated Solar Surface Insolation Compare with Ground-based Pyranometer: MTSAT-1R Data use. National Remote Sensing Bulletin. 24(6). 605–612. 11 indexed citations
13.
Yeom, Jong‐Min, et al.. (2008). A Detection of Vegetation Variation Over North Korea using SPOT/VEGETATION NDVI. Journal of the Korean Association of Geographic Information Studies. 11(2). 28–37. 5 indexed citations
14.
Lee, Chang-Suck, et al.. (2008). Vegetation Water Status Monitoring around China and Mongolia Desert using Satellite Data. Journal of the Korean Association of Geographic Information Studies. 11(4). 94–100. 2 indexed citations
15.
Lee, Chang-Suck, et al.. (2001). Cultural Landscape of Korea, Its Entity, Changes and Values Evaluation from New Paradigm. The Korean Journal of Ecology. 24(5). 323–332. 2 indexed citations
16.
Lee, Chang-Suck, et al.. (2001). Landscape Structure in the Greenbelt Zone around the Seoul, the Metropolis of Korea. The Korean Journal of Ecology. 24(6). 385–394. 5 indexed citations
17.
Lee, Chang-Suck & Young‐Han You. (2001). Creation of an Environmental Forest as an Ecological Restoration. The Korean Journal of Ecology. 24(2). 101–109. 6 indexed citations
18.
Lee, Chang-Suck. (1995). Regeneration Process after Disturbance of the Pinus densiflora Forest in Korea. The Korean Journal of Ecology. 18(1). 189–201. 6 indexed citations
19.
Lee, Chang-Suck, et al.. (1993). Structure and Dynamics of Abies koreana Wilson Community in Mt. Gaya. The Korean Journal of Ecology. 16(1). 75–91. 11 indexed citations
20.
Lee, Chang-Suck, et al.. (1991). Ecological Studies on the Distribution, Structure and Maintenance Mechanism of Berchemia berchemiaefolia Forest. The Korean Journal of Ecology. 14(1). 25–38. 6 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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