This map shows the geographic impact of William Teng'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 William Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Teng more than expected).
This network shows the impact of papers produced by William Teng. 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 William Teng. The network helps show where William Teng may publish in the future.
Co-authorship network of co-authors of William Teng
This figure shows the co-authorship network connecting the top 25 collaborators of William Teng.
A scholar is included among the top collaborators of William Teng 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 William Teng. William Teng 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.
Rui, Hualan, William Teng, Jennifer Wei, et al.. (2020). Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (LDAS) and Other Assimilated Hydrological Data at NASA GES DISC. NASA Technical Reports Server (NASA).6 indexed citations
Vollmer, Bruce, et al.. (2012). Analysis of Water and Energy Budgets and Trends Using the NLDAS Monthly Data Sets. NASA STI Repository (National Aeronautics and Space Administration). 2012.
5.
Rui, Hualan, et al.. (2012). New and Improved GLDAS Data Sets and Data Services at NASA GES DISC.1 indexed citations
Rui, Hualan, William Teng, Bruce Vollmer, et al.. (2011). BRIDGING THE GAP BETWEEN NASA HYDROLOGICAL DATA AND THE GEOSPATIAL COMMUNITY. 445–453.2 indexed citations
8.
Rui, Hualan, William Teng, Bruce Vollmer, et al.. (2011). NASA Giovanni Portals for NLDAS/GLDAS Online Visualization, Analysis, and Intercomparison. NASA Technical Reports Server (NASA). 2011.2 indexed citations
9.
Rui, Hualan, et al.. (2010). New and Improved GLDAS and NLDAS Data Sets and Data Services at HDISC/NASA. 2010.1 indexed citations
10.
Teng, William, et al.. (2010). Retrospective Analog Year Analyses Using NASA Satellite Precipitation and Soil Moisture Data to Improve USDA's World Agricultural Supply and Demand Estimates. 2010.
Lim, Yeo Howe, et al.. (2010). Modeling Hydrologic Regime of a Terminal Lake Basin with GCM Down-scaled Scenarios. ScholarsArchive (Brigham Young University).1 indexed citations
13.
Teng, William, et al.. (2009). IMPROVING WORLD AGRICULTURAL SUPPLY AND DEMAND ESTIMATES BY INTEGRATING NASA REMOTE SENSING SOIL MOISTURE DATA INTO USDA WORLD AGRICULTURAL OUTLOOK BOARD DECISION MAKING ENVIRONMENT. AGU Fall Meeting Abstracts. 2009.7 indexed citations
Fang, Hongliang, H. K. Beaudoing, Matthew Rodell, William Teng, & Bruce Vollmer. (2009). Global Land Data Assimilation System (GLDAS) Products, Services and Application from NASA Hydrology Data and Information Services Center (HDISC). NASA Technical Reports Server (NASA).37 indexed citations
16.
Lynnes, Christopher, et al.. (2008). Semantic Web Data Discovery of Earth Science Data at NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).1 indexed citations
17.
Fang, Hongliang, et al.. (2008). GLOBAL LAND DATA ASSIMILATION SYSTEM (GLDAS) PRODUCTS FROM NASA HYDROLOGY DATA AND INFORMATION SERVICES CENTER (HDISC).11 indexed citations
18.
Teng, William, Naphtali Rishe, & Hualan Rui. (2006). ENHANCING ACCESS AND USE OF NASA SATELLITE DATA VIA TERRAFLY.2 indexed citations
Teng, William. (1990). AVHRR monitoring of U.S. crops during the 1988 drought. Photogrammetric Engineering & Remote Sensing. 56(8). 1143–1146.22 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.