Sanghun Lim

1.6k total citations
67 papers, 1.2k citations indexed

About

Sanghun Lim is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Sanghun Lim has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Atmospheric Science, 35 papers in Environmental Engineering and 11 papers in Global and Planetary Change. Recurrent topics in Sanghun Lim's work include Precipitation Measurement and Analysis (48 papers), Meteorological Phenomena and Simulations (44 papers) and Soil Moisture and Remote Sensing (32 papers). Sanghun Lim is often cited by papers focused on Precipitation Measurement and Analysis (48 papers), Meteorological Phenomena and Simulations (44 papers) and Soil Moisture and Remote Sensing (32 papers). Sanghun Lim collaborates with scholars based in United States, South Korea and Italy. Sanghun Lim's co-authors include V. Chandrasekar, Steven A. Rutledge, Dmitri Moisseev, V. N. Bringi, Robert Cifelli, R. Keränen, Patrick C. Kennedy, Brenda Dolan, Merhala Thurai and Jani Tyynelä and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Journal of Hydrology.

In The Last Decade

Sanghun Lim

59 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
Sanghun Lim United States 16 965 493 437 91 64 67 1.2k
Bojan Bojkov Italy 17 1.0k 1.1× 232 0.5× 569 1.3× 150 1.6× 73 1.1× 48 1.3k
H.W.J. Russchenberg Netherlands 21 998 1.0× 367 0.7× 617 1.4× 31 0.3× 256 4.0× 130 1.3k
Laurence J. Wilson Canada 16 934 1.0× 193 0.4× 847 1.9× 71 0.8× 54 0.8× 26 1.2k
Yongguang Zheng China 19 868 0.9× 166 0.3× 721 1.6× 21 0.2× 39 0.6× 54 1.0k
Detlev Majewski Germany 8 1.1k 1.1× 165 0.3× 953 2.2× 76 0.8× 26 0.4× 13 1.3k
Gary J. Jedlovec United States 17 571 0.6× 181 0.4× 601 1.4× 24 0.3× 83 1.3× 79 888
Thorsten Reinhardt Germany 7 815 0.8× 134 0.3× 775 1.8× 61 0.7× 24 0.4× 8 945
Matthias Raschendorfer Germany 5 855 0.9× 174 0.4× 830 1.9× 65 0.7× 25 0.4× 7 1.0k
Cynthia K. Mueller United States 17 1.2k 1.2× 258 0.5× 954 2.2× 81 0.9× 64 1.0× 22 1.3k
N. K. Malakar United States 10 423 0.4× 590 1.2× 237 0.5× 32 0.4× 99 1.5× 21 849

Countries citing papers authored by Sanghun Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sanghun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghun Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Sanghun Lim. A scholar is included among the top collaborators of Sanghun Lim 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 Sanghun Lim. Sanghun Lim 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.
Lim, Sanghun, et al.. (2022). Anthropogenic influence of temperature changes across East Asia using CMIP6 simulations. Scientific Reports. 12(1). 11896–11896. 17 indexed citations
2.
Lim, Sanghun, et al.. (2021). Analyzing the Application of X-Band Radar for Improving Rainfall Observation and Flood Forecasting in Yeongdong, South Korea. Remote Sensing. 14(1). 43–43. 5 indexed citations
3.
Lim, Sanghun, et al.. (2020). Design of FPGA-based Signal Processing of EWRG for Localized Heavy Rainfall Observation. The Journal of the Korean Institute of Information and Communication Engineering. 24(9). 1215–1223. 1 indexed citations
4.
Lim, Sanghun, et al.. (2019). A Case Study on Rainfall Observation and Intensity Estimation using W-band FMCW Radar. Journal of Korea Multimedia Society. 22(12). 1430–1437. 1 indexed citations
5.
6.
Lim, Sanghun, et al.. (2019). X-Band Dual-Polarization Radar Observations of Snow Growth Processes of a Severe Winter Storm: Case of 12 December 2013 in South Korea. Journal of Atmospheric and Oceanic Technology. 36(7). 1217–1235. 11 indexed citations
7.
Lim, Sanghun, et al.. (2017). Quality Control Algorithm of Rainfall Radar Image for Uncertainty of Rainfall. EGUGA. 20(12). 17225–1889. 1 indexed citations
8.
Lim, Sanghun, et al.. (2017). GIS Based Realistic Weather Radar Data Visualization Technique. Journal of Multimedia Information System. 4(1). 1–8. 1 indexed citations
9.
Yoo, Chulsang, et al.. (2016). On quality of radar rainfall with respect to temporal and spatial resolution for application to urban areas. Meteorological Applications. 24(1). 19–30. 6 indexed citations
10.
Moon, Hye‐Jin, et al.. (2016). Clinical Characteristics of REM-Dependent Obstructive Sleep Apnea in Korean Adults. Journal of the Korean Neurological Association. 34(2). 124–129. 1 indexed citations
11.
Lim, Sanghun, et al.. (2015). Quantitative Rainfall Estimation for S-band Dual Polarization Radar using Distributed Specific Differential Phase. Journal of Korea Water Resources Association. 48(1). 57–67. 1 indexed citations
12.
Lim, Sanghun, et al.. (2015). Hierarchical Compression Technique for Reflectivity Data of Weather Radar. Journal of Korea Multimedia Society. 18(7). 793–805. 1 indexed citations
13.
Lim, Sanghun & V. Chandrasekar. (2015). A Robust Attenuation Correction System for Reflectivity and Differential Reflectivity in Weather Radars. IEEE Transactions on Geoscience and Remote Sensing. 54(3). 1727–1737. 9 indexed citations
14.
Lee, Dong-Ryul, et al.. (2014). High-Precision and 3D GIS Matching and Projection Based User-Friendly Radar Display Technique. Journal of Korea Water Resources Association. 47(12). 1145–1154. 4 indexed citations
15.
Lim, Sanghun, Dmitri Moisseev, V. Chandrasekar, & Dong-Ryul Lee. (2013). Classification and Quantification of Snow Based on Spatial Variability of Radar Reflectivity. Journal of the Meteorological Society of Japan Ser II. 91(6). 763–774. 4 indexed citations
16.
Lim, Sanghun, et al.. (2012). Analysis for Seasonal Operation Performance of Multistory Facade. Korean Journal of Air-Conditioning and Refrigeration Engineering. 24(2). 111–120. 2 indexed citations
17.
Cifelli, Robert, et al.. (2010). A New Dual-Polarization Radar Rainfall Algorithm: Application in Colorado Precipitation Events. Journal of Atmospheric and Oceanic Technology. 28(3). 352–364. 172 indexed citations
18.
Le, Minda, V. Chandrasekar, & Sanghun Lim. (2009). Combined Ku and Ka band observations of precipitation and retrievals for GPM Ground validation. 25. I–208. 4 indexed citations
19.
Chandrasekar, V., et al.. (2009). Attenuation margin requirements in a networked radar system for observation of precipitation. II–957. 7 indexed citations
20.
Lim, Sanghun. (2006). Reflectivity retrieval in a networked radar environment. Open MIND. 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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