S. Chan

4.6k total citations
58 papers, 1.3k citations indexed

About

S. Chan is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, S. Chan has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Environmental Engineering, 45 papers in Atmospheric Science and 14 papers in Aerospace Engineering. Recurrent topics in S. Chan's work include Soil Moisture and Remote Sensing (46 papers), Precipitation Measurement and Analysis (36 papers) and Climate change and permafrost (14 papers). S. Chan is often cited by papers focused on Soil Moisture and Remote Sensing (46 papers), Precipitation Measurement and Analysis (36 papers) and Climate change and permafrost (14 papers). S. Chan collaborates with scholars based in United States, France and Canada. S. Chan's co-authors include Rajat Bindlish, Dara Entekhabi, Andreas Colliander, Thomas J. Jackson, E. G. Njoku, Alexandra G. Konings, Michael H. Cosh, Kathrina Rötzer, Kaighin A. McColl and María Piles and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

S. Chan

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Chan United States 15 929 926 290 178 147 58 1.3k
Haiyun Bi China 13 720 0.8× 749 0.8× 209 0.7× 121 0.7× 110 0.7× 33 1.0k
Roland Hohensinn Switzerland 8 656 0.7× 774 0.8× 169 0.6× 137 0.8× 257 1.7× 18 1.0k
Edward Kim United States 25 1.7k 1.9× 983 1.1× 293 1.0× 176 1.0× 124 0.8× 131 2.1k
Albin J. Gasiewski United States 27 1.5k 1.6× 755 0.8× 490 1.7× 352 2.0× 71 0.5× 144 1.9k
Linwei Yue China 18 392 0.4× 407 0.4× 301 1.0× 99 0.6× 13 0.1× 44 1.3k
Jakob van Zyl United States 8 250 0.3× 417 0.5× 62 0.2× 303 1.7× 55 0.4× 13 663
Éric Bazile France 20 1.3k 1.4× 358 0.4× 1.1k 3.9× 43 0.2× 43 0.3× 43 1.5k
Heather Lawrence United Kingdom 16 717 0.8× 431 0.5× 346 1.2× 81 0.5× 32 0.2× 33 877
Francisco Grings Argentina 14 209 0.2× 299 0.3× 382 1.3× 112 0.6× 20 0.1× 72 717

Countries citing papers authored by S. Chan

Since Specialization
Citations

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

Fields of papers citing papers by S. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Chan. A scholar is included among the top collaborators of S. Chan 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 S. Chan. S. Chan 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.
Lavalle, Marco, Fabio Del Frate, Heresh Fattahi, et al.. (2025). Optimizing the Radiative Transfer Model Using Deep Neural Networks for NISAR Soil Moisture Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 12697–12712.
2.
Chan, S., et al.. (2024). Reservoir Water Level Monitoring Using CYGNSS's Level-1 Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9090–9098. 2 indexed citations
3.
Boutin, Jacqueline, Simon Yueh, Rajat Bindlish, et al.. (2023). Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors. Surveys in Geophysics. 44(5). 1449–1487. 4 indexed citations
4.
Bekaert, David, Matthew Bonnema, S. Chan, et al.. (2023). Opera Dynamic Surface Water Extents for Harmonized Landsat Sentinel-2 (DSWX-HLS) Validation Activities. 2723–2726. 1 indexed citations
5.
Velde, R. van der, Andreas Colliander, Rajat Bindlish, et al.. (2021). Validation of SMAP L2 passive-only soil moisture products using upscaled in situ measurements collected in Twente, the Netherlands. Hydrology and earth system sciences. 25(1). 473–495. 12 indexed citations
6.
Bindlish, Rajat, Peggy O’Neill, George J. Huffman, et al.. (2021). Evaluation of GEOS Precipitation Flagging for SMAP Soil Moisture Retrieval Accuracy. Journal of Hydrometeorology. 3 indexed citations
7.
8.
Lannoy, Gabriëlle De, Amen Al‐Yaari, S. Chan, et al.. (2019). Uncertainty in soil moisture retrievals: An ensemble approach using SMOS L-band microwave data. Remote Sensing of Environment. 229. 133–147. 14 indexed citations
9.
Velde, R. van der, Andreas Colliander, Rajat Bindlish, et al.. (2019). Validation of SMAP L2 passive-only soil moisture products using insitu measurements collected in Twente, The Netherlands. Data Archiving and Networked Services (DANS). 7 indexed citations
10.
Bindlish, Rajat, S. Chan, Andreas Colliander, Yann H. Kerr, & Thomas J. Jackson. (2019). Integrated SMAP and SMOS Soil Moisture Observations. SPIRE - Sciences Po Institutional REpository. 5370–5373. 2 indexed citations
11.
Chaubell, Julián, Simon Yueh, S. Chan, et al.. (2019). Smap Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth. 5312–5315. 5 indexed citations
12.
Du, Jinyang, John S. Kimball, John F. Galantowicz, et al.. (2018). Assessing global surface water inundation dynamics using combined satellite information from SMAP, AMSR2 and Landsat. Remote Sensing of Environment. 213. 1–17. 57 indexed citations
13.
Bindlish, Rajat, S. Chan, Thomas J. Jackson, Andreas Colliander, & Yann H. Kerr. (2018). Integration of SMAP and SMOS Observations. NASA STI Repository (National Aeronautics and Space Administration). 3775–3778. 1 indexed citations
14.
Burgin, Mariko, Andreas Colliander, E. G. Njoku, et al.. (2017). A Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products. IEEE Transactions on Geoscience and Remote Sensing. 55(5). 2959–2971. 118 indexed citations
15.
Chan, S., et al.. (2015). The Impact upon Applicability of Metal Fuel Tank Using Different Biodiesel. SAE International Journal of Materials and Manufacturing. 8(3). 757–764. 5 indexed citations
16.
Colliander, Andreas, Thomas J. Jackson, S. Chan, et al.. (2014). Pals (Passive Active L-band System) Radiometer-Based Soil Moisture Retrieval for the SMAP Validation Experiment 2012 (SMAPVEX12). 2014. 1 indexed citations
17.
Wang, June, Qing Gu, Ming Li, et al.. (2009). Identification of XAF1 as a novel cell cycle regulator through modulating G2/M checkpoint and interaction with checkpoint kinase 1 in gastrointestinal cancer. Carcinogenesis. 30(9). 1507–1516. 39 indexed citations
18.
Cheung, D. T., et al.. (2007). World's First 90nm CMOS Single-Chip Bluetooth and WLAN with Integrated RF. 39. 337–340. 2 indexed citations
19.
Njoku, E. G., et al.. (2006). Stable Targets for Spaceborne Microwave Radiometer Calibration. 1–6. 1 indexed citations
20.
Le, C., S. Chan, Fan‐Tien Cheng, et al.. (2004). Onboard FPGA-based SAR processing for future spaceborne systems. 15–20. 32 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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