Kun Xia

1.3k citations
24 papers · 167 · h-index 7

Impact in

    • Meteorological Phenomena and Simulations
    • Cryospheric studies and observations
    • Climate change and permafrost
    • Arctic and Antarctic ice dynamics
    • Climate variability and models
    • Atmospheric and Environmental Gas Dynamics

Papers in

Kun Xia

22 papers receiving 164 citations

Peers

Kun Xia
Comparison fields: 5 of 39
  • Atmospheric Science 112
  • Global and Planetary Change 103
  • Oceanography 27
  • Environmental Chemistry 19
  • Environmental Engineering 19
Replace Sabrina Wenzel with:
Sabrina Wenzel Germany
Taru Olsson Finland
Laurie Caillouet France
Philippe Ciais France
François Ritter France
Hongping Gu China
Marvin Heidkamp Germany
Greg Flato United States
Jihua Sun China
Timothy P. Brabets United States
Kun Xia relative to Sabrina Wenzel Germany Sabrina Wenzel's profile →
Citations per field
00.5×1.7×
Sabrina Wenzel · 1×
Citations per year

Countries citing papers authored by Kun Xia

Since Specialization
Citations

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

Fields of papers citing papers by Kun Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Xia Line = papers co-authored together Kun Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202040
2 201122
3 202018
4 201514
5 201310
6 201410
7 20139
8 20066
9 20236
10 20145
11 20085
12 20234
13 20184
14 20223
15 20252
16 20192
17 20142
18 20221
19
Effects of Climate Change on Inflow and Water Consumption in Dahaibo Reservoir
20121
20 20141

About Kun Xia

Kun Xia is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Water Science and Technology and Environmental Chemistry, having authored 24 papers that have together received 167 indexed citations. Recurring topics across this work include Climate variability and models (11 papers), Meteorological Phenomena and Simulations (8 papers), Cryospheric studies and observations (4 papers), Oceanographic and Atmospheric Processes (4 papers), Marine and coastal ecosystems (3 papers), Climate change and permafrost (3 papers), Hydrology and Watershed Management Studies (3 papers) and Water Quality and Pollution Assessment (2 papers). The work is most often cited by research in Atmospheric Science (112 citations), Global and Planetary Change (103 citations), Oceanography (27 citations), Environmental Chemistry (19 citations) and Environmental Engineering (19 citations). Kun Xia has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Yong Luo, Lijuan Li, Weiping Li, Bin Wang, Li Dong, Ye Pu, Hua Wang, Li Liu, Jinbo Xie and Hongbo Liu. Their work appears in journals such as Advances in Atmospheric Sciences, Atmosphere, Journal of Geophysical Research Atmospheres, Journal of Hydrologic Engineering and Climate Dynamics.

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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