Xiaoyan Song

1.2k citations
13 papers · 1.0k indexed · 1 hit paper · h-index 9
Topics
Climate variability and models (9 papers)Hydrology and Drought Analysis (7 papers)Plant Water Relations and Carbon Dynamics (4 papers)
Partner nations
ChinaAustraliaUzbekistan

In The Last Decade

Xiaoyan Song

12 papers receiving 1.0k citations

Hit Papers

Spatiotemporal vegetation cover variations associated wit...20152026201820222015100200300400

Peers

Xiaoyan Song
Comparison fields: 5 of 66
  • Global and Planetary Change 775
  • Atmospheric Science 343
  • Ecology 341
  • Water Science and Technology 227
  • Soil Science 163
Replace Daniel J. McEvoy with:
Daniel J. McEvoy United States
Anzhou Zhao China
Charles Morton United States
Xuemei Yang China
Gaston R. Demarée Belgium
Andrew L. Lowry Australia
Zhaoxia Ye China
Simone Erotildes Teleginski Ferraz Brazil
Christian Tøttrup Denmark
Haibo Du China
Xiaoyan Song relative to Daniel J. McEvoy United States Daniel J. McEvoy's profile →
Citations per field
00.5×1.5×2.2×
Daniel J. McEvoy · 1×
Citations per year

Countries citing papers authored by Xiaoyan Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Song

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 4
3 11
4 4
5 15
6 2
7 12
8 16
9 274
10
Spatiotemporal vegetation cover variations associated with climate change and ecological restoration in the Loess Plateaubreakdown →
489
11 159
12 25
13 10

About Xiaoyan Song

Xiaoyan Song is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Climate variability and models (9 papers), Hydrology and Drought Analysis (7 papers) and Plant Water Relations and Carbon Dynamics (4 papers). The work is most often cited by research in Global and Planetary Change (775 citations), Atmospheric Science (343 citations) and Soil Science (163 citations). Xiaoyan Song has collaborated with scholars based in China, Australia and Uzbekistan. Frequent co-authors include Wenyi Sun, Xingmin Mu, Peng Gao, Fei Wang, Guangju Zhao, Dan Wu, Cheng Aifang, Songbai Song, Jiuyi Li and Yi Li. Their work appears in journals such as Journal of Hydrology, Journal of Environmental Management and Agricultural and Forest Meteorology.

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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