Xing Lü
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Influenza Virus Research Studies 7
- Respiratory viral infections research 3
-
- Stellar, planetary, and galactic studies 5
- Astro and Planetary Science 4
- Co-authors
- Li Dong (1 shared paper)Eboneé N. Butler (1 shared paper)Vic Veguilla (1 shared paper)Joshua DeVos (1 shared paper)Zhijian Li (1 shared paper)Huanhuan Sun (1 shared paper)Paul Gargiullo (1 shared paper)Kathy Hancock (1 shared paper)
In The Last Decade
Xing Lü
16 papers receiving 576 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 69
- Epidemiology 465
- Agronomy and Crop Science 105
- Infectious Diseases 120
- Computer Science Applications 19
Countries citing papers authored by Xing Lü
This map shows the geographic impact of Xing Lü'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 Xing Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Lü more than expected).
Fields of papers citing papers by Xing Lü
This network shows the impact of papers produced by Xing Lü. 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 Xing Lü. The network helps show where Xing Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing Lü, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Serum cross-reactive antibody response to a novel influenza A (H1N1) virus after vaccination with seasonal influenza vaccine. | 2009 | 409 |
| 2 | 2014 | 51 | |
| 3 | 2012 | 35 | |
| 4 | 2020 | 24 | |
| 5 | 2022 | 17 | |
| 6 | 2014 | 13 | |
| 7 | 2014 | 8 | |
| 8 | 2013 | 6 | |
| 9 | 2010 | 6 | |
| 10 | 2018 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2015 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Xing Lü
Xing Lü is a scholar working on Epidemiology, Astronomy and Astrophysics, Electrical and Electronic Engineering, Infectious Diseases and Computational Mechanics, having authored 21 papers that have together received 591 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Stellar, planetary, and galactic studies (5 papers), Astro and Planetary Science (4 papers), Respiratory viral infections research (3 papers), Astronomical Observations and Instrumentation (2 papers), Organic Electronics and Photovoltaics (1 paper), Galectins and Cancer Biology (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (69 citations), Epidemiology (465 citations), Agronomy and Crop Science (105 citations), Infectious Diseases (120 citations) and Computer Science Applications (19 citations). Xing Lü has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Li Dong, Eboneé N. Butler, Vic Veguilla, Joshua DeVos, Zhijian Li, Huanhuan Sun, Paul Gargiullo, Kathy Hancock, N J Cox and Jonathan D. Katz. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Applied Microbiology and Biotechnology, Applied Physics Letters, Archives of Virology and Complexity.
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.