Simon Yueh

13.9k total citations · 1 hit paper
322 papers, 7.9k citations indexed

About

Simon Yueh is a scholar working on Atmospheric Science, Environmental Engineering and Oceanography. According to data from OpenAlex, Simon Yueh has authored 322 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 232 papers in Atmospheric Science, 229 papers in Environmental Engineering and 116 papers in Oceanography. Recurrent topics in Simon Yueh's work include Soil Moisture and Remote Sensing (225 papers), Precipitation Measurement and Analysis (111 papers) and Ocean Waves and Remote Sensing (84 papers). Simon Yueh is often cited by papers focused on Soil Moisture and Remote Sensing (225 papers), Precipitation Measurement and Analysis (111 papers) and Ocean Waves and Remote Sensing (84 papers). Simon Yueh collaborates with scholars based in United States, France and Canada. Simon Yueh's co-authors include W.J. Wilson, R. Kwok, S. V. Nghiem, Alexander G. Fore, Dara Entekhabi, Gary Lagerloef, B. Stiles, J. A. Kong, Akiko Hayashi and F.K. Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Simon Yueh

297 papers receiving 7.5k citations

Hit Papers

The global distribution a... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Simon Yueh 5.0k 4.5k 2.9k 1.4k 1.0k 322 7.9k
Jordi Font 4.0k 0.8× 3.6k 0.8× 3.4k 1.2× 633 0.4× 1.8k 1.8× 153 7.3k
Kristine M. Larson 3.6k 0.7× 3.6k 0.8× 2.8k 1.0× 4.3k 3.0× 380 0.4× 168 12.5k
S. V. Nghiem 5.0k 1.0× 2.2k 0.5× 963 0.3× 565 0.4× 1.8k 1.7× 196 6.7k
Manuel Martín‐Neira 3.1k 0.6× 4.6k 1.0× 1.8k 0.6× 2.3k 1.6× 362 0.4× 206 5.6k
R. K. Moore 3.7k 0.7× 3.3k 0.7× 1.3k 0.5× 2.1k 1.5× 418 0.4× 172 6.8k
Mark R. Drinkwater 3.9k 0.8× 1.9k 0.4× 1.0k 0.3× 472 0.3× 659 0.6× 126 4.9k
Valery U. Zavorotny 2.6k 0.5× 4.0k 0.9× 2.2k 0.7× 2.3k 1.6× 185 0.2× 106 5.2k
Stephen L. Durden 5.2k 1.0× 2.2k 0.5× 866 0.3× 2.4k 1.6× 3.8k 3.6× 157 7.8k
Catherine Prigent 4.3k 0.9× 2.5k 0.6× 1.1k 0.4× 471 0.3× 4.2k 4.1× 196 7.3k
Michael Eineder 2.0k 0.4× 2.1k 0.5× 755 0.3× 4.5k 3.1× 535 0.5× 243 6.4k

Countries citing papers authored by Simon Yueh

Since Specialization
Citations

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

Fields of papers citing papers by Simon Yueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Yueh

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Yueh. A scholar is included among the top collaborators of Simon Yueh 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 Simon Yueh. Simon Yueh 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.
Xiao, Yao, Xiaojun Li, Lei Fan, et al.. (2024). Optimal model-based temperature inputs for global soil moisture and vegetation optical depth retrievals from SMAP. Remote Sensing of Environment. 311. 114240–114240. 3 indexed citations
2.
Kim, Hyunglok, Wade T. Crow, Simon Yueh, et al.. (2024). From theory to hydrological practice: Leveraging CYGNSS data over seven years for advanced soil moisture monitoring. Remote Sensing of Environment. 316. 114509–114509. 5 indexed citations
3.
Jelenak, Zorana, et al.. (2024). Exploring the Impact of Sea Surface Temperature and Salinity on SMAP Excess Surface Emissivity. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 1 indexed citations
4.
Singh, Gurjeet, Narendra N. Das, Andreas Colliander, Dara Entekhabi, & Simon Yueh. (2023). Impact of SAR-based vegetation attributes on the SMAP high-resolution soil moisture product. Remote Sensing of Environment. 298. 113826–113826. 5 indexed citations
5.
Yu, Lisan, Frederick M. Bingham, Tong Lee, et al.. (2021). Revisiting the Global Patterns of Seasonal Cycle in Sea Surface Salinity. Journal of Geophysical Research Oceans. 126(4). 15 indexed citations
6.
Colliander, Andreas, Zhengwei Yang, Rick Mueller, et al.. (2019). Consistency Between NASS Surveyed Soil Moisture Conditions and SMAP Soil Moisture Observations. Water Resources Research. 55(9). 7682–7693. 11 indexed citations
7.
Das, Narendra N., Dara Entekhabi, Scott Dunbar, et al.. (2019). The SMAP and Copernicus Sentinel 1A/B Microwave Active-Passive High Resolution Surface Soil Moisture Product and Its Applications. elib (German Aerospace Center). 1 indexed citations
8.
Das, Narendra N., Ali Behrangi, Mark Svoboda, et al.. (2018). SMAP Soil Moisture Change as an Indicator of Drought Conditions. Lincoln (University of Nebraska). 5 indexed citations
9.
Ramos, Isaac, et al.. (2018). A Next Generation Microwave Instrument for Cold Water Salinity Measurement. AGU Fall Meeting Abstracts. 2018.
10.
Peng, Jinzheng, Jeffrey R. Piepmeier, Sidharth Misra, et al.. (2017). Soil Moisture ActivePassive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration. IEEE Transactions on Geoscience and Remote Sensing. 55(9). 2 indexed citations
11.
Johnson, Joel T., Mahta Moghaddam, Leung Tsang, et al.. (2016). Global retrieval of surface soil moisture using L-band SMAP SAR data and its validation. 1–4. 2 indexed citations
12.
Das, Narendra N., Dara Entekhabi, Seung-Bum Kim, et al.. (2016). High-Resolution Enhanced Product based on SMAP Active-Passive Approach and Sentinel 1A Radar Data. elib (German Aerospace Center). 2016. 1 indexed citations
13.
Vine, David M. Le, Emmanuel P. Dinnat, Thomas Meißner, et al.. (2015). Remote Sensing of Salinity and Overview of Results from Aquarius. 1 indexed citations
14.
Colliander, Andreas, T. J. Jackson, Michael H. Cosh, et al.. (2015). SMAP Validation Experiment 2015 (SMAPVEX15). 2015 AGU Fall Meeting. 2015. 2 indexed citations
15.
Tang, Wenbin, Simon Yueh, Alexander G. Fore, G. A. Neumann, & Atsushi Hayashi. (2012). Rain effect on Aquarius L-band Emissivity and Backscatter Model Functions. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
16.
Piepmeier, Jeffrey R., D. M. Levine, Simon Yueh, Frank Wentz, & Christopher S. Ruf. (2012). Aquarius Radiometer Performance: Early On-Orbit Calibration and Results. 1 indexed citations
17.
Hornbuckle, Brian K., Anton Kruger, Tracy Rowlandson, et al.. (2009). Uncertainty in SMAP Soil Moisture Measurements Caused by Dew. AGUFM. 2009. 1 indexed citations
18.
Jackson, T. J., Michael H. Cosh, S. Dinardo, et al.. (2008). Soil Moisture Active Passive Validation Experiment 2008 (SMAPVEX08). AGU Fall Meeting Abstracts. 2008. 1 indexed citations
19.
Vine, David M. Le, Gary Lagerloef, Simon Yueh, et al.. (2006). Aquarius Mission Technical Overview. 1678–1680. 17 indexed citations
20.
Stiles, B. & Simon Yueh. (2003). Rain, wind, and backscatter: modeling rain effects on Ku-band ocean wind scatterometers. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 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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