Kun Xia

1.3k citations
28 papers · 994 · h-index 9

Impact in

    • Cryospheric studies and observations
    • Meteorological Phenomena and Simulations
    • Climate change and permafrost
    • Climate variability and models
    • Plant Water Relations and Carbon Dynamics
    • Atmospheric and Environmental Gas Dynamics

Papers in

Kun Xia

26 papers receiving 975 citations

Peers

Kun Xia
Comparison fields: 5 of 53
  • Atmospheric Science 795
  • Global and Planetary Change 693
  • Oceanography 176
  • Water Science and Technology 155
  • Environmental Engineering 58
Replace Tamara Shulgina with:
Tamara Shulgina United States
Kang Xu China
Rogert Sorí Gómez Spain
Eveline C. van der Linden Netherlands
Azar Zarrin Iran
Matthias Zahn United Kingdom
Yuting Fan China
Amin Dezfuli United States
Kun Xia relative to Tamara Shulgina United States Tamara Shulgina's profile →
Citations per field
00.5×2×4×6×7.4×
Tamara Shulgina · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009319
2 2013257
3 2020213
4 202043
5 201125
6 201321
7 202020
8 201513
9 201410
10 20139
11 20139
12 20238
13 20237
14 20066
15 20135
16 20145
17 20085
18 20185
19 20223
20 20193

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 28 papers that have together received 994 indexed citations. Recurring topics across this work include Climate variability and models (14 papers), Meteorological Phenomena and Simulations (11 papers), Oceanographic and Atmospheric Processes (6 papers), Cryospheric studies and observations (5 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 (795 citations), Global and Planetary Change (693 citations), Oceanography (176 citations), Water Science and Technology (155 citations) and Environmental Engineering (58 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, Ye Pu, Hua Wang, Li Dong, Hongbo Liu, Jinbo Xie and Li Liu. Their work appears in journals such as Advances in Atmospheric Sciences, Journal of Geophysical Research Atmospheres, Atmosphere, Ecohydrology and Journal of Advances in Modeling Earth Systems.

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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