Xinzhu Meng
- Public Health, Environmental and Occupational Health top 0.2%
- Genetics top 0.5%
- Modeling and Simulation top 0.05%
- Computer Networks and Communications top 2%
- Control and Systems Engineering top 2%
- Co-authors
- Tonghua ZhangLansun ChenTongqian ZhangTao FengHaokun QiJing ZhangFang WangChong Lin
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (142 papers)Evolution and Genetic Dynamics (105 papers)COVID-19 epidemiological studies (31 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe American NaturalistJournal of Theoretical Biology
- Partner nations
- ChinaAustraliaSaudi Arabia
In The Last Decade
Xinzhu Meng
145 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Public Health, Environmental and Occupational Health 3.1k
- Genetics 1.9k
- Modeling and Simulation 1.9k
- Computer Networks and Communications 625
- Control and Systems Engineering 546
Countries citing papers authored by Xinzhu Meng
This map shows the geographic impact of Xinzhu Meng'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 Xinzhu Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinzhu Meng more than expected).
Fields of papers citing papers by Xinzhu Meng
This network shows the impact of papers produced by Xinzhu Meng. 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 Xinzhu Meng. The network helps show where Xinzhu Meng may publish in the future.
Co-authorship network of co-authors of Xinzhu Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Xinzhu Meng. A scholar is included among the top collaborators of Xinzhu Meng 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 Xinzhu Meng. Xinzhu Meng 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 | 6 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 30 | |
| 8 | 17 | |
| 9 | 50 | |
| 10 | 57 | |
| 11 | 87 | |
| 12 | 69 | |
| 13 | 42 | |
| 14 | 50 | |
| 15 | 39 | |
| 16 | 26 | |
| 17 | 226 | |
| 18 | 6 | |
| 19 | 11 | |
| 20 | An SIR Epidemic Disease Model with Vertical Transmission and Pulse Vaccination | 2 |
About Xinzhu Meng
Xinzhu Meng is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 152 papers that have together received 4.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (142 papers), Evolution and Genetic Dynamics (105 papers) and COVID-19 epidemiological studies (31 papers). The work is most often cited by research in Modeling and Simulation (1.9k citations), Public Health, Environmental and Occupational Health (3.1k citations) and Genetics (1.9k citations). Xinzhu Meng has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Tonghua Zhang, Lansun Chen, Tongqian Zhang, Tao Feng, Haokun Qi, Jing Zhang, Fang Wang, Chong Lin, Bing Chen and Lidan Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, The American Naturalist and Journal of Theoretical 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.