Mei Xu
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Oceanography top 10%
- Environmental Engineering top 10%
- Aerospace Engineering
- Co-authors
- Thomas T. WarnerBrian MapesAndrew J. NegriJuanzhen SunJames W. WilsonPaul JoeSue BallardBrian Golding
- Topics
- Meteorological Phenomena and Simulations (20 papers)Climate variability and models (12 papers)Tropical and Extratropical Cyclones Research (6 papers)
- Journals
- Journal of the Atmospheric SciencesMonthly Weather ReviewBulletin of the American Meteorological Society
- Partner nations
- United StatesChinaCanada
In The Last Decade
Mei Xu
20 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Atmospheric Science 1.2k
- Global and Planetary Change 1.0k
- Oceanography 148
- Environmental Engineering 105
- Aerospace Engineering 79
Countries citing papers authored by Mei Xu
This map shows the geographic impact of Mei Xu'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 Mei Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Xu more than expected).
Fields of papers citing papers by Mei Xu
This network shows the impact of papers produced by Mei Xu. 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 Mei Xu. The network helps show where Mei Xu may publish in the future.
Co-authorship network of co-authors of Mei Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Xu. A scholar is included among the top collaborators of Mei Xu 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 Mei Xu. Mei Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 22 | |
| 6 | 22 | |
| 7 | 8 | |
| 8 | 31 | |
| 9 | 15 | |
| 10 | Radar data assimilation for the prediction of Front Range convection | 3 |
| 11 | Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challengesbreakdown → | 379 |
| 12 | 49 | |
| 13 | 56 | |
| 14 | 42 | |
| 15 | Impact of radar data assimilation on storm predictions using a mesoscale model | 0 |
| 16 | 18 | |
| 17 | 76 | |
| 18 | 274 | |
| 19 | 78 | |
| 20 | 11 |
About Mei Xu
Mei Xu is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (20 papers), Climate variability and models (12 papers) and Tropical and Extratropical Cyclones Research (6 papers). The work is most often cited by research in Atmospheric Science (1.2k citations), Global and Planetary Change (1.0k citations) and Oceanography (148 citations). Mei Xu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Thomas T. Warner, Brian Mapes, Andrew J. Negri, Juanzhen Sun, James W. Wilson, Paul Joe, Sue Ballard, Brian Golding, Dale Barker and James O. Pinto. Their work appears in journals such as Journal of the Atmospheric Sciences, Monthly Weather Review and Bulletin of the American Meteorological Society.
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.