Xinyong Shen

748 citations
27 papers · 202 indexed · h-index 9
Topics
Climate variability and models (22 papers)Meteorological Phenomena and Simulations (11 papers)Tropical and Extratropical Cyclones Research (10 papers)

In The Last Decade

Xinyong Shen

26 papers receiving 197 citations

Peers

Xinyong Shen
Comparison fields: 5 of 37
  • Global and Planetary Change 158
  • Atmospheric Science 153
  • Oceanography 33
  • Health, Toxicology and Mutagenesis 24
  • Environmental Engineering 18
Replace Sabrina Wenzel with:
Sabrina Wenzel Germany
Archana Rai India
Constantin Ardilouze France
Claudia Gessner Switzerland
D Gunawan Indonesia
Fangxing Tian United Kingdom
Étienne Tourigny Spain
Chakrit Chotamonsak Thailand
Tammas Loughran Germany
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Xinyong Shen relative to Sabrina Wenzel Germany Sabrina Wenzel's profile →
Citations per field
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Sabrina Wenzel · 1×
Citations per year

Countries citing papers authored by Xinyong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xinyong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyong Shen. A scholar is included among the top collaborators of Xinyong Shen 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 Xinyong Shen. Xinyong Shen 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
#WorkIndexed citations
1 1
2 0
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5 22
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8 3
9 1
10 2
11 2
12 11
13 29
14 15
15 24
16 17
17
Simulation of global distribution of temporal and spatial variation of PM 2.5 concentration in the future
3
18
A Northern Hemisphere Annular Mode as the Combination of the NAO and the PNA
1
19 3
20 2

About Xinyong Shen

Xinyong Shen is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 27 papers that have together received 202 indexed citations. Recurring topics across this work include Climate variability and models (22 papers), Meteorological Phenomena and Simulations (11 papers) and Tropical and Extratropical Cyclones Research (10 papers). The work is most often cited by research in Atmospheric Science (153 citations), Global and Planetary Change (158 citations) and Oceanography (33 citations). Xinyong Shen has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Qingquan Li, Yihui Ding, Si Gao, Liang Zhao, Huizheng Che, Wei Zhang, Xiaofan Li, Yuxiang Zhu, Jia Liu and Yanju Liu. Their work appears in journals such as Journal of Climate, Quarterly Journal of the Royal Meteorological Society and Remote Sensing.

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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