Ruchun Liu
- Infectious Diseases top 10%
- Epidemiology
- Modeling and Simulation top 2%
- Agronomy and Crop Science top 10%
- Public Health, Environmental and Occupational Health
- Topics
- Influenza Virus Research Studies (13 papers)COVID-19 epidemiological studies (9 papers)Animal Disease Management and Epidemiology (8 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ruchun Liu
22 papers receiving 298 citations
Peers
Comparison fields: 5 of 46
- Infectious Diseases 194
- Epidemiology 123
- Modeling and Simulation 114
- Agronomy and Crop Science 67
- Public Health, Environmental and Occupational Health 56
Countries citing papers authored by Ruchun Liu
This map shows the geographic impact of Ruchun 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 Ruchun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruchun Liu more than expected).
Fields of papers citing papers by Ruchun Liu
This network shows the impact of papers produced by Ruchun 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 Ruchun Liu. The network helps show where Ruchun Liu may publish in the future.
Co-authorship network of co-authors of Ruchun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ruchun Liu. A scholar is included among the top collaborators of Ruchun Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruchun Liu. Ruchun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 15 | |
| 8 | 13 | |
| 9 | 15 | |
| 10 | 42 | |
| 11 | 23 | |
| 12 | [A model for evaluation of key measures for control of chikungunya fever outbreak in China]. | 3 |
| 13 | 18 | |
| 14 | 37 | |
| 15 | 5 | |
| 16 | 43 | |
| 17 | [Study on the efficacy of quarantine during outbreaks of acute hemorrhagic conjunctivitis outbreaks at schools through the susceptive-infective-quarantine-removal model]. | 5 |
| 18 | 1 | |
| 19 | [Application of Susceptible-Infected-Recovered model in dealing with an outbreak of acute hemorrhagic conjunctivitis on one school campus]. | 6 |
| 20 | [Spatio-temporal process and the influencing factors on influenza A (H1N1) pandemic in Changsha]. | 2 |
About Ruchun Liu
Ruchun Liu is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Infectious Diseases, having authored 24 papers that have together received 301 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), COVID-19 epidemiological studies (9 papers) and Animal Disease Management and Epidemiology (8 papers). The work is most often cited by research in Modeling and Simulation (114 citations), Infectious Diseases (194 citations) and Endocrinology (36 citations). Ruchun Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xixing Zhang, Tianmu Chen, Shuilian Chen, Fa‐Ming Chen, Xie Zhi, Lijie Zhang, Zi Zhou, Bin Zhao, Rusheng Zhang and Dong Yang. Their work appears in journals such as PLoS ONE, Emerging infectious diseases and BMC Public Health.
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.