Xingren Wu

10.7k total citations · 1 hit paper
41 papers, 3.6k citations indexed

About

Xingren Wu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Xingren Wu has authored 41 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Xingren Wu's work include Arctic and Antarctic ice dynamics (24 papers), Cryospheric studies and observations (21 papers) and Climate variability and models (18 papers). Xingren Wu is often cited by papers focused on Arctic and Antarctic ice dynamics (24 papers), Cryospheric studies and observations (21 papers) and Climate variability and models (18 papers). Xingren Wu collaborates with scholars based in United States, Australia and China. Xingren Wu's co-authors include Wanqiu Wang, Jesse Meng, David Behringer, Malaquías Peña, Sudhir Nadiga, Mingyue Chen, Mark Iredell, Jiande Wang, Qin Zhang and Michael Ek and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Journal of Climate.

In The Last Decade

Xingren Wu

39 papers receiving 3.5k citations

Hit Papers

The NCEP Climate Forecast System Version 2 2013 2026 2017 2021 2013 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingren Wu United States 17 2.9k 2.5k 1.1k 253 244 41 3.6k
Sudhir Nadiga United States 7 3.0k 1.0× 3.1k 1.3× 1.4k 1.4× 287 1.1× 301 1.2× 9 3.9k
Mark Iredell United States 11 2.4k 0.9× 2.2k 0.9× 976 0.9× 226 0.9× 254 1.0× 18 3.3k
Patrick Tripp United States 3 2.0k 0.7× 2.0k 0.8× 874 0.8× 216 0.9× 226 0.9× 3 2.6k
Yu-Tai Hou United States 10 2.3k 0.8× 2.3k 0.9× 901 0.8× 217 0.9× 263 1.1× 12 3.0k
David Behringer United States 21 3.0k 1.1× 3.2k 1.3× 2.1k 2.0× 243 1.0× 279 1.1× 36 4.4k
Frauke Feser Germany 24 3.0k 1.0× 3.2k 1.3× 644 0.6× 264 1.0× 230 0.9× 55 4.0k
Emily Becker United States 19 3.0k 1.1× 3.3k 1.3× 1.4k 1.3× 326 1.3× 331 1.4× 43 4.1k
Paul Berrisford United Kingdom 23 3.4k 1.2× 3.5k 1.4× 1.0k 1.0× 172 0.7× 190 0.8× 41 4.1k
Yang Feng Canada 28 1.8k 0.6× 1.9k 0.8× 959 0.9× 182 0.7× 267 1.1× 48 2.9k
Len Shaffrey United Kingdom 37 3.6k 1.2× 3.7k 1.5× 730 0.7× 146 0.6× 170 0.7× 94 4.3k

Countries citing papers authored by Xingren Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xingren Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingren Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingren Wu. A scholar is included among the top collaborators of Xingren 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 Xingren Wu. Xingren Wu 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.
Wang, Jia, David A. Lavers, Luca Delle Monache, et al.. (2025). Impacts of atmospheric river reconnaissance dropsondes on ECMWF Integrated Forecasting System precipitation forecasts. Quarterly Journal of the Royal Meteorological Society. 152(774).
2.
Murphy, Michael J., et al.. (2025). The Utility of a Two-Dimensional Forward Model for Bending Angle Observations in Regions with Strong Horizontal Gradients. Monthly Weather Review. 153(8). 1467–1487. 1 indexed citations
3.
Zheng, Minghua, Ryan D. Torn, Luca Delle Monache, et al.. (2024). An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance. Monthly Weather Review. 152(3). 811–835. 4 indexed citations
4.
Yang, Qinghua, Matthew R. Mazloff, Xingren Wu, et al.. (2023). Transiting consolidated ice strongly influenced polynya area during a shrink event in Terra Nova Bay in 2013. Communications Earth & Environment. 4(1). 3 indexed citations
5.
Lord, Stephen J., Xingren Wu, Vijay Tallapragada, & F. Martin Ralph. (2023). The Impact of Dropsonde Data on the Performance of the NCEP Global Forecast System during the 2020 Atmospheric Rivers Observing Campaign. Part II: Dynamic Variables and Humidity. Weather and Forecasting. 38(5). 721–752. 5 indexed citations
6.
Wilson, Anna M., Brian Kawzenuk, Minghua Zheng, et al.. (2023). Impacts of Dropsonde Observations on Forecasts of Atmospheric Rivers and Associated Precipitation in the NCEP GFS and ECMWF IFS Models. Weather and Forecasting. 38(12). 2397–2413. 4 indexed citations
7.
Lord, Stephen J., Xingren Wu, Vijay Tallapragada, & F. Martin Ralph. (2022). The Impact of Dropsonde Data on the Performance of the NCEP Global Forecast System during the 2020 Atmospheric Rivers Observing Campaign. Part I: Precipitation. Weather and Forecasting. 38(1). 17–45. 11 indexed citations
8.
Zheng, Minghua, Luca Delle Monache, Bruce D. Cornuelle, et al.. (2021). Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program. Journal of Geophysical Research Atmospheres. 126(21). 21 indexed citations
9.
Zhao, Jiechen, Qi Shu, Chunhua Li, et al.. (2020). The role of bias correction on subseasonal prediction of Arctic sea ice during summer 2018. Acta Oceanologica Sinica. 39(9). 50–59. 5 indexed citations
10.
Wang, Xiujun, et al.. (2014). Characterizing Air Temperature Changes in the Tarim Basin over 1960–2012. PLoS ONE. 9(11). e112231–e112231. 9 indexed citations
11.
Saha, Suranjana, Shrinivas Moorthi, Xingren Wu, et al.. (2013). The NCEP Climate Forecast System Version 2. Journal of Climate. 27(6). 2185–2208. 2599 indexed citations breakdown →
12.
Wu, Xingren & Robert Grumbine. (2010). Sea Ice In the NCEP Climate Forecast System Reanalysis. 1 indexed citations
13.
Wu, Xingren. (2006). Sea Ice in the NCEP Climate Forecast System. AGUFM. 2015. 1 indexed citations
14.
Bi, Daohua, William Budd, Anthony C. Hirst, & Xingren Wu. (2002). Response of the antarctic circumpolar current transport to global warming in a coupled model. Geophysical Research Letters. 29(24). 23 indexed citations
15.
Massom, Robert A., Hajo Eicken, Martin O. Jeffries, et al.. (2001). Snow on Antarctic sea ice. Reviews of Geophysics. 39(3). 413–445. 263 indexed citations
16.
Wu, Xingren, W. F. Budd, & T. H. Jacka. (1999). Simulations of Southern Hemisphere warming and Antarctic sea-ice changes using global climate models. Annals of Glaciology. 29. 61–65. 16 indexed citations
17.
Wu, Xingren & W. F. Budd. (1998). Modelling global warming and Antarctic sea-ice changes over the past century. Annals of Glaciology. 27. 413–419. 2 indexed citations
18.
Budd, W. F., Xingren Wu, & Phillip Reid. (1997). Physical characteristics of the Antarctic sea-ice zone derived from modelling and observations. Annals of Glaciology. 25. 1–7. 2 indexed citations
19.
Budd, W. F., Ian Simmonds, & Xingren Wu. (1991). The physical basis for a dynamic Antarctic sea-ice model for use with an atmospheric GCM. Annals of Glaciology. 15. 196–203. 4 indexed citations
20.
Budd, W. F., Ian Simmonds, & Xingren Wu. (1991). The physical basis for a dynamic Antarctic sea-ice model for use with an atmospheric GCM. Annals of Glaciology. 15. 196–203. 12 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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