Yan Ping Su
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Dam Engineering and Safety
Papers in
-
- Dam Engineering and Safety 10
- Co-authors
- Chuan Lin (10 shared papers)Alexander Lezhava (2 shared papers)Sai Kiang Lim (1 shared paper)Soon Sim Tan (1 shared paper)Agnes T. Reiner (1 shared paper)Ruenn Chai Lai (1 shared paper)Ronne Wee Yeh Yeo (1 shared paper)Zhiyan Fu (1 shared paper)
- Journals
- Applied Sciences (4 papers)Environmental Earth Sciences (2 papers)Bulletin of Engineering Geology and the Environment (1 paper)Expert Systems with Applications (1 paper)Journal of Molecular Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yan Ping Su
49 papers receiving 889 citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 149
- Civil and Structural Engineering 132
- Molecular Biology 310
- Genetics 37
- Immunology 63
Countries citing papers authored by Yan Ping Su
This map shows the geographic impact of Yan Ping 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 Yan Ping Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ping Su more than expected).
Fields of papers citing papers by Yan Ping Su
This network shows the impact of papers produced by Yan Ping 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 Yan Ping Su. The network helps show where Yan Ping Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Ping 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 227 | |
| 2 | 2021 | 117 | |
| 3 | 2021 | 72 | |
| 4 | 2021 | 42 | |
| 5 | 2021 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2013 | 24 | |
| 8 | 2022 | 24 | |
| 9 | 2021 | 22 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2011 | 15 | |
| 17 | 2013 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2025 | 13 | |
| 20 | 2021 | 12 |
About Yan Ping Su
Yan Ping Su is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Infectious Diseases, Management, Monitoring, Policy and Law and Cell Biology, having authored 55 papers that have together received 910 indexed citations. Recurring topics across this work include Dam Engineering and Safety (10 papers), Biomedical Text Mining and Ontologies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Landslides and related hazards (3 papers), Cellular Mechanics and Interactions (3 papers), Advanced Clustering Algorithms Research (2 papers), Physical Education and Sports Studies (2 papers) and Groundwater and Isotope Geochemistry (2 papers). The work is most often cited by research in Infectious Diseases (149 citations), Civil and Structural Engineering (132 citations), Molecular Biology (310 citations), Genetics (37 citations) and Immunology (63 citations). Yan Ping Su has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chuan Lin, Alexander Lezhava, Sai Kiang Lim, Soon Sim Tan, Agnes T. Reiner, Ruenn Chai Lai, Ronne Wee Yeh Yeo, Zhiyan Fu, Andre B.H. Choo and Siu Kwan Sze. Their work appears in journals such as Applied Sciences, Environmental Earth Sciences, Bulletin of Engineering Geology and the Environment, Expert Systems with Applications and Journal of Molecular Cell Biology.
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.