Suxia Liu

5.7k citations
102 papers · 4.1k · 1 hit paper · h-index 33

Impact in

Papers in

Suxia Liu

94 papers receiving 4.0k citations

Suxia Liu's Hit Papers

The Global Soil Moisture Data Bank 2000 · 682 citations
6820+8+17Years since publication200400600

Peers

Suxia Liu
Comparison fields: 5 of 94
  • Global and Planetary Change 2.3k
  • Environmental Engineering 1.4k
  • Water Science and Technology 1.3k
  • Atmospheric Science 1.3k
  • Soil Science 360
Replace Huimin Lei with:
Huimin Lei China
Venkataramana Sridhar United States
Eleanor Blyth United Kingdom
Yonghui Yang China
David E. Rupp United States
Xingguo Mo China
Bernd Diekkrüger Germany
Aristeidis Koutroulis Greece
Gab Abramowitz Australia
Weiguang Wang China
Suxia Liu relative to Huimin Lei China Huimin Lei's profile →
Citations per field
00.5×1.6×
Huimin Lei · 1×
Citations per year

Countries citing papers authored by Suxia Liu

Since Specialization
Citations

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

Fields of papers citing papers by Suxia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suxia Liu, 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 Suxia Liu Line = papers co-authored together Suxia Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Global Soil Moisture Data Bank
Hit paper breakdown →
2000682
2 2000460
3 2004216
4 2009160
5 2010148
6 2020118
7 2003114
8 2018112
9 2017108
10 1999107
11 2005103
12 201775
13 200173
14 201870
15 201967
16 201765
17 202063
18 201560
19 202154
20 201454

About Suxia Liu

Suxia Liu is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Atmospheric Science and Ecology, having authored 102 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (38 papers), Plant Water Relations and Carbon Dynamics (26 papers), Climate variability and models (24 papers), Soil Moisture and Remote Sensing (20 papers), Flood Risk Assessment and Management (13 papers), Climate change and permafrost (12 papers), Cryospheric studies and observations (11 papers) and Geophysics and Gravity Measurements (10 papers). The work is most often cited by research in Global and Planetary Change (2.3k citations), Environmental Engineering (1.4k citations), Water Science and Technology (1.3k citations), Atmospheric Science (1.3k citations) and Soil Science (360 citations). Suxia Liu has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Xingguo Mo, Zhonghui Lin, Alan Robock, Shi Hu, Jared Entin, Konstantin Y. Vinnikov, Steven E. Hollinger, Govindarajalu Srinivasan, N. A. Speranskaya and Xuejuan Chen. Their work appears in journals such as Journal of Hydrology, Remote Sensing, Journal of Geographical Sciences, Hydrological Sciences Journal and The Science of The Total Environment.

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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