Kun‐Shan Chen

4.9k total citations · 2 hit papers
210 papers, 3.6k citations indexed

About

Kun‐Shan Chen is a scholar working on Environmental Engineering, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Kun‐Shan Chen has authored 210 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Environmental Engineering, 100 papers in Aerospace Engineering and 73 papers in Atmospheric Science. Recurrent topics in Kun‐Shan Chen's work include Soil Moisture and Remote Sensing (95 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (87 papers) and Precipitation Measurement and Analysis (40 papers). Kun‐Shan Chen is often cited by papers focused on Soil Moisture and Remote Sensing (95 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (87 papers) and Precipitation Measurement and Analysis (40 papers). Kun‐Shan Chen collaborates with scholars based in China, Taiwan and United States. Kun‐Shan Chen's co-authors include Jong-Sen Lee, Thomas L. Ainsworth, Jiangyuan Zeng, Zhao-Liang Li, Tzong‐Dar Wu, Haiyun Bi, Quan Chen, Zhen Xu, Chenyang Cui and Xiaofeng Yang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Proceedings of the IEEE.

In The Last Decade

Kun‐Shan Chen

194 papers receiving 3.5k citations

Hit Papers

Improved Sigma Filter for Speckle Filtering of SAR Imagery 2008 2026 2014 2020 2008 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun‐Shan Chen China 31 1.7k 1.4k 1.3k 477 429 210 3.6k
Antonio Iodice Italy 33 1.1k 0.6× 769 0.6× 2.0k 1.6× 450 0.9× 521 1.2× 247 3.5k
Daniele Riccio Italy 35 1.3k 0.7× 749 0.5× 2.2k 1.8× 461 1.0× 681 1.6× 246 4.0k
Mingsheng Liao China 38 838 0.5× 1.7k 1.3× 3.1k 2.4× 442 0.9× 622 1.4× 291 4.7k
Nazzareno Pierdicca Italy 36 2.7k 1.6× 2.7k 1.9× 2.0k 1.6× 1.7k 3.5× 500 1.2× 285 5.0k
Antonio Pepe Italy 37 1.1k 0.6× 1.3k 0.9× 2.9k 2.3× 497 1.0× 120 0.3× 169 4.4k
Michael Eineder Germany 37 2.1k 1.2× 2.0k 1.4× 4.5k 3.6× 535 1.1× 178 0.4× 243 6.4k
Thomas L. Ainsworth United States 27 1.9k 1.1× 991 0.7× 3.3k 2.7× 226 0.5× 1.4k 3.3× 130 4.6k
Pau Prats Germany 37 1.6k 0.9× 1.4k 1.0× 5.8k 4.6× 166 0.3× 311 0.7× 249 7.1k
Marwan Younis Germany 32 1.6k 0.9× 1.0k 0.8× 6.4k 5.1× 205 0.4× 313 0.7× 232 7.5k
Linlin Ge Australia 32 720 0.4× 615 0.4× 2.1k 1.7× 307 0.6× 132 0.3× 180 3.3k

Countries citing papers authored by Kun‐Shan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kun‐Shan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Shan Chen. 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 Kun‐Shan Chen. The network helps show where Kun‐Shan Chen may publish in the future.

Co-authorship network of co-authors of Kun‐Shan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Shan Chen. A scholar is included among the top collaborators of Kun‐Shan Chen 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 Kun‐Shan Chen. Kun‐Shan Chen 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.
Yang, Ying, Kun‐Shan Chen, Jón Atli Benediktsson, & Magnús Ö. Úlfarsson. (2025). Physical Interpretation of Microwave Emission From Snow-Covered Stratified Sea Ice With Rough Boundaries. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17.
2.
Chen, Kun‐Shan, Hongliang Ma, Husi Letu, et al.. (2025). Synergizing machine learning and interpolation methods: A Stacking framework for global-scale satellite soil moisture gap filling. Remote Sensing of Environment. 331. 115040–115040. 1 indexed citations
3.
Nunziata, Ferdinando, et al.. (2024). Scattering Model-Based Oil-Slick-Related Parameters Estimation From Radar Remote Sensing: Feasibility and Simulation Results. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 8 indexed citations
4.
Zeng, Jiangyuan, Kun‐Shan Chen, Hongliang Ma, et al.. (2024). Global-Scale Assessment of Multiple Recently Developed/Reprocessed Remotely Sensed Soil Moisture Datasets. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 12 indexed citations
5.
Yang, Ying, et al.. (2024). Surface Parameter Bias Disturbance in Radar Backscattering From Bare Soil Surfaces. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 1 indexed citations
6.
Zeng, Jiangyuan, Kun‐Shan Chen, Hongliang Ma, et al.. (2024). Spatial Representativeness of Soil Moisture Stations and Its Influential Factors at a Global Scale. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 12 indexed citations
7.
Zeng, Jiangyuan, Kun‐Shan Chen, Hongliang Ma, et al.. (2024). GAP Filling of SMAP Soil Moisture Products Using Different Approaches. SPIRE - Sciences Po Institutional REpository. 5052–5055. 1 indexed citations
8.
9.
Xu, Zhen & Kun‐Shan Chen. (2021). Effects of the “Stop-and-Go” Approximation on the Lunar-Based SAR Imaging. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 8 indexed citations
10.
Chen, Kun‐Shan, et al.. (2018). Huge fetal hepatic Hemangioma: prenatal diagnosis on ultrasound and prognosis. BMC Pregnancy and Childbirth. 18(1). 2–2. 17 indexed citations
11.
Cui, Chenyang, Jia Xu, Jiangyuan Zeng, et al.. (2017). Soil Moisture Mapping from Satellites: An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over Two Dense Network Regions at Different Spatial Scales. Remote Sensing. 10(1). 33–33. 142 indexed citations
13.
Chen, Kun‐Shan, et al.. (2015). EXTENSION AND VALIDATION OF AN ADVANCED INTEGRAL EQUATION MODEL FOR BISTATIC SCATTERING FROM ROUGH SURFACES. Electromagnetic waves. 152. 59–76. 12 indexed citations
14.
Chen, Kun‐Shan, Zhao-Liang Li, & Yu Liu. (2015). Model analysis of bistatic scattering from randomly rough surfaces. Beijing Hangkong Hangtian Daxue xuebao. 41(10). 1765. 3 indexed citations
15.
Zhang, Jing, et al.. (2013). DSA-guided foam sclerotherapy for the treatment of venous malformations in children: clinical observation. Journal of interventional radiology. 22(9). 738–741.
17.
Chu, Chih‐Yuan, et al.. (2012). Sandbar analysis of polarimetric SAR images using four-component scattering decomposition. International Symposium on Antennas and Propagation. 102–105. 2 indexed citations
18.
Tang, Ronglin, et al.. (2012). Evaluating one- and two-source energy balance models in estimating surface evapotranspiration from Landsat-derived surface temperature and field measurements. International Journal of Remote Sensing. 34(9-10). 3299–3313. 43 indexed citations
19.
Chen, Kun‐Shan, et al.. (2011). Simulation of complex target RCS with application to SAR image recognition. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–4. 1 indexed citations
20.
Chen, Kun‐Shan, Chih‐Yuan Chu, Chih‐Tien Wang, et al.. (2011). Small satellite SAR mission definition and analysis for Taiwan. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 594–597. 2 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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