Yijun Lou
- Modeling and Simulation top 0.05%
- Public Health, Environmental and Occupational Health top 0.5%
- Infectious Diseases top 0.5%
- Genetics top 2%
- Economics and Econometrics top 1%
- Co-authors
- Daihai HeDaozhou GaoShi ZhaoXiao-Qiang ZhaoLin YangMaggie Haitian WangWeiming WangSalihu S. Musa
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (33 papers)Evolution and Genetic Dynamics (28 papers)COVID-19 epidemiological studies (27 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Automatic Control
In The Last Decade
Yijun Lou
85 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Modeling and Simulation 2.5k
- Public Health, Environmental and Occupational Health 1.7k
- Infectious Diseases 1.6k
- Genetics 747
- Economics and Econometrics 739
Countries citing papers authored by Yijun Lou
This map shows the geographic impact of Yijun Lou'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 Yijun Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yijun Lou more than expected).
Fields of papers citing papers by Yijun Lou
This network shows the impact of papers produced by Yijun Lou. 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 Yijun Lou. The network helps show where Yijun Lou may publish in the future.
Co-authorship network of co-authors of Yijun Lou
This figure shows the co-authorship network connecting the top 25 collaborators of Yijun Lou. A scholar is included among the top collaborators of Yijun Lou 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 Yijun Lou. Yijun Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 4 | |
| 7 | 302 | |
| 8 | 66 | |
| 9 | 58 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreakbreakdown → | 1175 |
| 13 | 34 | |
| 14 | 25 | |
| 15 | 23 | |
| 16 | 28 | |
| 17 | 265 | |
| 18 | 24 | |
| 19 | Global dynamics of a tick ixodes scapularis model | 3 |
| 20 | 19 |
About Yijun Lou
Yijun Lou is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 87 papers that have together received 4.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (33 papers), Evolution and Genetic Dynamics (28 papers) and COVID-19 epidemiological studies (27 papers). The work is most often cited by research in Modeling and Simulation (2.5k citations), Infectious Diseases (1.6k citations) and Public Health, Environmental and Occupational Health (1.7k citations). Yijun Lou has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Daihai He, Daozhou Gao, Shi Zhao, Xiao-Qiang Zhao, Lin Yang, Maggie Haitian Wang, Weiming Wang, Salihu S. Musa, Jinjun Ran and Guangpu Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.
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.