Wan-Shu Wu

3.0k total citations · 2 hit papers
11 papers, 2.3k citations indexed

About

Wan-Shu Wu is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Wan-Shu Wu has authored 11 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in Wan-Shu Wu's work include Meteorological Phenomena and Simulations (7 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Climate variability and models (4 papers). Wan-Shu Wu is often cited by papers focused on Meteorological Phenomena and Simulations (7 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Climate variability and models (4 papers). Wan-Shu Wu collaborates with scholars based in United States, United Kingdom and China. Wan-Shu Wu's co-authors include David Parrish, Robert James Purser, John Derber, Hua‐Lu Pan, Nigel Roberts, Stephen J. Lord, Daryl Kleist, R. Treadon, Meng Li and Xinyi Niu and has published in prestigious journals such as Monthly Weather Review, Weather and Forecasting and Urban Planning International.

In The Last Decade

Wan-Shu Wu

11 papers receiving 2.3k citations

Hit Papers

Three-Dimensional Variational Analysis with Spatially Inh... 2002 2026 2010 2018 2002 2009 100 200 300 400 500

Peers

Wan-Shu Wu
Ronald Gelaro United States
Irina Sandu United Kingdom
Yann Seity France
Ricardo Todling United States
J. D. Price United Kingdom
Derek J. Posselt United States
Ronald Gelaro United States
Wan-Shu Wu
Citations per year, relative to Wan-Shu Wu Wan-Shu Wu (= 1×) peers Ronald Gelaro

Countries citing papers authored by Wan-Shu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Shu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan-Shu Wu. 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 Wan-Shu Wu. The network helps show where Wan-Shu Wu may publish in the future.

Co-authorship network of co-authors of Wan-Shu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wan-Shu Wu. A scholar is included among the top collaborators of Wan-Shu Wu 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 Wan-Shu Wu. Wan-Shu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Niu, Xinyi, Wan-Shu Wu, & Meng Li. (2019). Influence of Built Environment on Street Vitality and Its Spatiotemporal Characteristics Based on LBS Positioning Data. Urban Planning International. 34(1). 28–37. 27 indexed citations
2.
Wu, Wan-Shu, David Parrish, Eric Rogers, & Ying Lin. (2016). Regional Ensemble–Variational Data Assimilation Using Global Ensemble Forecasts. Weather and Forecasting. 32(1). 83–96. 29 indexed citations
3.
Kleist, Daryl, David Parrish, John Derber, et al.. (2009). Introduction of the GSI into the NCEP Global Data Assimilation System. Weather and Forecasting. 24(6). 1691–1705. 473 indexed citations breakdown →
4.
Ma, Zaizhong, Ying‐Hwa Kuo, Bin Wang, Wan-Shu Wu, & Sergey Sokolovskiy. (2009). Comparison of Local and Nonlocal Observation Operators for the Assimilation of GPS RO Data with the NCEP GSI System: An OSSE Study. Monthly Weather Review. 137(10). 3575–3587. 24 indexed citations
5.
Purser, Robert James, Wan-Shu Wu, David Parrish, & Nigel Roberts. (2003). Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part I: Spatially Homogeneous and Isotropic Gaussian Covariances. Monthly Weather Review. 131(8). 1524–1535. 208 indexed citations
6.
Purser, Robert James, Wan-Shu Wu, David Parrish, & Nigel Roberts. (2003). Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances. Monthly Weather Review. 131(8). 1536–1548. 268 indexed citations
7.
Wu, Wan-Shu, Robert James Purser, & David Parrish. (2002). Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances. Monthly Weather Review. 130(12). 2905–2916. 570 indexed citations breakdown →
8.
Purser, Robert James, Wan-Shu Wu, David Parrish, & Nigel Roberts. (2001). Numerical aspects of the application of recursive filters to variational statistical analysis with spatially inhomogeneous covariance. 4 indexed citations
9.
Derber, John & Wan-Shu Wu. (1998). The Use of TOVS Cloud-Cleared Radiances in the NCEP SSI Analysis System. Monthly Weather Review. 126(8). 2287–2299. 416 indexed citations
10.
Pu, Zhaoxia, Eugenia Kalnay, David Parrish, Wan-Shu Wu, & Zoltán Tóth. (1997). The Use of Bred Vectors in the NCEP Global 3D Variational Analysis System. Weather and Forecasting. 12(3). 689–695. 11 indexed citations
11.
Pan, Hua‐Lu & Wan-Shu Wu. (1995). Implementing a mass flux convection parameterization package for the NMC medium-range forecast model. 308 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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