Liu Su

1.0k citations
55 papers · 796 · h-index 14

Impact in

    • Precipitation Measurement and Analysis
    • Meteorological Phenomena and Simulations
    • Tropical and Extratropical Cyclones Research
    • Cryospheric studies and observations
    • Climate variability and models
    • Atmospheric aerosols and clouds

Papers in

Liu Su

48 papers receiving 771 citations

Peers

Liu Su
Comparison fields: 5 of 90
  • Atmospheric Science 438
  • Global and Planetary Change 231
  • Environmental Engineering 121
  • Soil Science 46
  • Computational Mathematics 2
Replace Kai Ding with:
Kai Ding China
Dariush Abbasi‐Moghadam Iran
Yingwei Sun China
A. Christy India
Christopher A. Ramezan United States
Lajiao Chen China
Javier Estévez Spain
Xiran Zhou China
Liu Su relative to Kai Ding China Kai Ding's profile →
Citations per field
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Kai Ding · 1×
Citations per year

Countries citing papers authored by Liu Su

Since Specialization
Citations

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

Fields of papers citing papers by Liu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016157
2 2016104
3 201768
4 201750
5 202045
6 201741
7 201841
8 201138
9 201836
10 199521
11
An Empirical Study on Classification of Non-Functional Requirements.
201120
12 202317
13 201915
14 201614
15 201914
16 201710
17 20119
18 20128
19 20248
20 20157

About Liu Su

Liu Su is a scholar working on Atmospheric Science, Signal Processing, Computer Vision and Pattern Recognition, Control and Systems Engineering and Global and Planetary Change, having authored 55 papers that have together received 796 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (5 papers), Meteorological Phenomena and Simulations (5 papers), Advanced SAR Imaging Techniques (4 papers), Radar Systems and Signal Processing (4 papers), Image and Signal Denoising Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Direction-of-Arrival Estimation Techniques (4 papers) and Environmental and Agricultural Sciences (3 papers). The work is most often cited by research in Atmospheric Science (438 citations), Global and Planetary Change (231 citations), Environmental Engineering (121 citations), Soil Science (46 citations) and Computational Mathematics (2 citations). Liu Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Long Wen, Kun Zhao, Guifu Zhang, Ming Xue, Bowen Zhou, Xingchao Chen, Mingjun Wang, Gang Chen, Gang Chen and G T Zhang. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Atmospheric and Oceanic Technology, ACS Biomaterials Science & Engineering, Journal of Hydrometeorology and Journal of Bridge Engineering.

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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