Chuchu Ye
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 23
- Influenza Virus Research Studies 12
- Data-Driven Disease Surveillance 8
- Respiratory viral infections research 7
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- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Weiping Zhu (15 shared papers)Yuanping Wang (12 shared papers)Lipeng Hao (13 shared papers)Zhongjie Li (14 shared papers)Jianxing Yu (10 shared papers)Wenbiao Hu (6 shared papers)Hongmei Xu (5 shared papers)Qiao Sun (7 shared papers)
- Journals
- Vaccines (5 papers)Human Vaccines & Immunotherapeutics (4 papers)Journal of Medical Virology (3 papers)Journal of Epidemiology and Global Health (2 papers)International Journal of Infectious Diseases (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Chuchu Ye
36 papers receiving 415 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 57
- Health 57
- Infectious Diseases 125
- Epidemiology 211
- Health, Toxicology and Mutagenesis 34
Countries citing papers authored by Chuchu Ye
This map shows the geographic impact of Chuchu Ye'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 Chuchu Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuchu Ye more than expected).
Fields of papers citing papers by Chuchu Ye
This network shows the impact of papers produced by Chuchu Ye. 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 Chuchu Ye. The network helps show where Chuchu Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuchu Ye, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 44 | |
| 2 | 2019 | 38 | |
| 3 | 2019 | 37 | |
| 4 | 2020 | 34 | |
| 5 | 2018 | 28 | |
| 6 | 2015 | 25 | |
| 7 | 2017 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2024 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2016 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 7 |
About Chuchu Ye
Chuchu Ye is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Health and Agronomy and Crop Science, having authored 40 papers that have together received 418 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Data-Driven Disease Surveillance (8 papers), Respiratory viral infections research (7 papers), COVID-19 epidemiological studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Disease Management and Epidemiology (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Dental materials and restorations (2 papers). The work is most often cited by research in Modeling and Simulation (57 citations), Health (57 citations), Infectious Diseases (125 citations), Epidemiology (211 citations) and Health, Toxicology and Mutagenesis (34 citations). Chuchu Ye has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Weiping Zhu, Yuanping Wang, Lipeng Hao, Zhongjie Li, Jianxing Yu, Wenbiao Hu, Hongmei Xu, Qiao Sun, Yuzhou Zhang and Shengjie Lai. Their work appears in journals such as Vaccines, Human Vaccines & Immunotherapeutics, Journal of Medical Virology, Journal of Epidemiology and Global Health and International Journal of Infectious Diseases.
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.