Liu Su
Impact in
- Atmospheric Science top 5%
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Cryospheric studies and observations
- Global and Planetary Change top 10%
- Climate variability and models
- Atmospheric aerosols and clouds
Papers in
-
- Precipitation Measurement and Analysis 5
- Meteorological Phenomena and Simulations 5
-
- Image and Signal Denoising Methods 4
- Co-authors
- Kun Zhao (5 shared papers)Long Wen (5 shared papers)Guifu Zhang (5 shared papers)Ming Xue (2 shared papers)Bowen Zhou (2 shared papers)Xingchao Chen (1 shared paper)Mingjun Wang (2 shared papers)Gang Chen (3 shared papers)
- Journals
- Journal of Geophysical Research Atmospheres (3 papers)Neurocomputing (1 paper)Journal of Hydrometeorology (1 paper)Sustainability (1 paper)IEEE Signal Processing Letters (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Liu Su
43 papers receiving 737 citations
Peers
Comparison fields: 5 of 91
- Atmospheric Science 440
- Global and Planetary Change 231
- Environmental Engineering 121
- Soil Science 46
- Computational Mathematics 2
Countries citing papers authored by Liu Su
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
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.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 153 | |
| 2 | 2016 | 104 | |
| 3 | 2017 | 68 | |
| 4 | 2017 | 50 | |
| 5 | 2020 | 44 | |
| 6 | 2017 | 41 | |
| 7 | 2018 | 41 | |
| 8 | 2011 | 35 | |
| 9 | 2018 | 29 | |
| 10 | 1995 | 20 | |
| 11 | An Empirical Study on Classification of Non-Functional Requirements. | 2011 | 20 |
| 12 | 2019 | 15 | |
| 13 | 2023 | 15 | |
| 14 | 2016 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2017 | 10 | |
| 17 | 2011 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2015 | 7 |
About Liu Su
Liu Su is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition, Global and Planetary Change, Control and Systems Engineering and Signal Processing, having authored 49 papers that have together received 762 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (5 papers), Meteorological Phenomena and Simulations (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Direction-of-Arrival Estimation Techniques (4 papers), Image and Signal Denoising Methods (4 papers), Advanced SAR Imaging Techniques (3 papers), Environmental and Agricultural Sciences (3 papers) and Radar Systems and Signal Processing (3 papers). The work is most often cited by research in Atmospheric Science (440 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 Kun Zhao, Long Wen, Guifu Zhang, Ming Xue, Bowen Zhou, Xingchao Chen, Mingjun Wang, Gang Chen, Gang Chen and Gong Zhang. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Neurocomputing, Journal of Hydrometeorology, Sustainability and IEEE Signal Processing Letters.
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.