Sanggyun Lee

695 total citations
19 papers, 415 citations indexed

About

Sanggyun Lee is a scholar working on Atmospheric Science, Global and Planetary Change and Biomedical Engineering. According to data from OpenAlex, Sanggyun Lee has authored 19 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 2 papers in Biomedical Engineering. Recurrent topics in Sanggyun Lee's work include Climate change and permafrost (8 papers), Arctic and Antarctic ice dynamics (8 papers) and Cryospheric studies and observations (7 papers). Sanggyun Lee is often cited by papers focused on Climate change and permafrost (8 papers), Arctic and Antarctic ice dynamics (8 papers) and Cryospheric studies and observations (7 papers). Sanggyun Lee collaborates with scholars based in South Korea, United Kingdom and United States. Sanggyun Lee's co-authors include Jungho Im, Hyun‐Cheol Kim, Hyangsun Han, Miae Kim, Myong‐In Lee, Daehyeon Han, Young Jun Kim, Minso Shin, Eunna Jang and Jin‐Woo Kim and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and ˜The œcryosphere.

In The Last Decade

Sanggyun Lee

19 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanggyun Lee South Korea 11 306 148 51 50 38 19 415
Dominique Jolivet United States 9 167 0.5× 203 1.4× 31 0.6× 104 2.1× 45 1.2× 21 302
Jeffrey S. Myers United States 5 155 0.5× 154 1.0× 41 0.8× 56 1.1× 46 1.2× 14 265
Tom R. Andersson United Kingdom 5 245 0.8× 133 0.9× 42 0.8× 71 1.4× 41 1.1× 9 363
Wenguang Bai China 9 337 1.1× 303 2.0× 31 0.6× 26 0.5× 13 0.3× 28 413
Eric T. Gorman United States 6 142 0.5× 150 1.0× 22 0.4× 153 3.1× 59 1.6× 16 325
Adam C. Povey United Kingdom 12 370 1.2× 402 2.7× 60 1.2× 46 0.9× 41 1.1× 25 527
Nick Hughes Norway 10 340 1.1× 68 0.5× 13 0.3× 90 1.8× 22 0.6× 29 456
Javier Gorroño United Kingdom 12 213 0.7× 340 2.3× 83 1.6× 20 0.4× 76 2.0× 34 492
Sarah Safieddine France 15 455 1.5× 349 2.4× 87 1.7× 32 0.6× 15 0.4× 31 552
Feiyu Lu United States 15 486 1.6× 474 3.2× 21 0.4× 231 4.6× 13 0.3× 42 650

Countries citing papers authored by Sanggyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sanggyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanggyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sanggyun Lee. A scholar is included among the top collaborators of Sanggyun 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 Sanggyun Lee. Sanggyun Lee 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.
Oh, Byung Ho, et al.. (2023). Deep learning algorithms for predicting basement membrane involvement of acral lentiginous melanomas. YUHSpace (Yonsei University Medical Library). 43–43. 1 indexed citations
2.
Lee, Sanggyun, Julienne Strœve, Melinda Webster, Niels Fuchs, & Donald K. Perovich. (2023). Inter-comparison of melt pond products from optical satellite imagery. Remote Sensing of Environment. 301. 113920–113920. 4 indexed citations
3.
Han, Hyangsun, Jae‐In Kim, Chang‐Uk Hyun, et al.. (2020). Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR. GIScience & Remote Sensing. 57(5). 650–669. 7 indexed citations
4.
Kim, Young Jun, Hyun‐Cheol Kim, Daehyeon Han, Sanggyun Lee, & Jungho Im. (2020). Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks. ˜The œcryosphere. 14(3). 1083–1104. 73 indexed citations
5.
Lee, Sanggyun, Julienne Strœve, Michel Tsamados, & Alia L. Khan. (2020). Machine learning approaches to retrieve pan-Arctic melt ponds from visible satellite imagery. Remote Sensing of Environment. 247. 111919–111919. 27 indexed citations
6.
Kim, Miae, Hyun‐Cheol Kim, Jungho Im, Sanggyun Lee, & Hyangsun Han. (2020). Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data. Remote Sensing of Environment. 242. 111782–111782. 14 indexed citations
7.
8.
Lee, Sanggyun, Hyun‐Cheol Kim, & Jungho Im. (2018). Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data. ˜The œcryosphere. 12(5). 1665–1679. 11 indexed citations
9.
Lee, Sanggyun, et al.. (2017). Analysis of Qualitative Research on Science Education Trend in Korea Using Semantic Network Analysis. 10(3). 290–307. 2 indexed citations
10.
Lee, Sanggyun, Hyangsun Han, Jungho Im, Eunna Jang, & Myong‐In Lee. (2017). Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data. Atmospheric measurement techniques. 10(5). 1859–1874. 51 indexed citations
11.
Lee, Myong‐In, et al.. (2017). Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models. Asia-Pacific Journal of Atmospheric Sciences. 54(2). 145–163. 23 indexed citations
12.
Lee, Sanggyun, et al.. (2017). CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observations. GIScience & Remote Sensing. 54(4). 592–613. 3 indexed citations
13.
Lee, Myong‐In, et al.. (2016). Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 4 indexed citations
14.
Lee, Sanggyun, Jungho Im, Jin‐Woo Kim, et al.. (2016). Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection. Remote Sensing. 8(9). 698–698. 56 indexed citations
15.
Lee, Sanggyun, Jungho Im, & Myong‐In Lee. (2015). The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 2214–2217. 2 indexed citations
16.
Kim, Miae, Jungho Im, Hyangsun Han, et al.. (2015). Landfast sea ice monitoring using multisensor fusion in the Antarctic. GIScience & Remote Sensing. 52(2). 239–256. 49 indexed citations
17.
Han, Hyangsun, Sanggyun Lee, Jungho Im, et al.. (2015). Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches. Remote Sensing. 7(7). 9184–9204. 44 indexed citations
18.
Kim, Dong Sik & Sanggyun Lee. (2010). Grid artifact reduction in radiography with arctan(1/2)-degree rotated grid. 5029. 1957–1960. 1 indexed citations
19.
Pyo, Dongjin & Sanggyun Lee. (1999). Addition of Water in Carbon Dioxide Mobile Phase for Supercritical Fluid Chromatography. Bulletin of the Korean Chemical Society. 20(4). 405–407. 10 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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