Qianhui Wu
- Infectious Diseases top 1%
- Modeling and Simulation top 0.2%
- Health top 1%
- Epidemiology top 10%
- Economics and Econometrics top 5%
- Co-authors
- Hongjie YuMarco AjelliYuxia LiangCécile ViboudStefano MerlerJuanjuan ZhangYan WangMaria Litvinova
- Topics
- SARS-CoV-2 and COVID-19 Research (21 papers)COVID-19 epidemiological studies (15 papers)Vaccine Coverage and Hesitancy (13 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Qianhui Wu
29 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Infectious Diseases 1.0k
- Modeling and Simulation 906
- Health 443
- Epidemiology 286
- Economics and Econometrics 285
Countries citing papers authored by Qianhui Wu
This map shows the geographic impact of Qianhui Wu'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 Qianhui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianhui Wu more than expected).
Fields of papers citing papers by Qianhui Wu
This network shows the impact of papers produced by Qianhui Wu. 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 Qianhui Wu. The network helps show where Qianhui Wu may publish in the future.
Co-authorship network of co-authors of Qianhui Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Qianhui Wu. A scholar is included among the top collaborators of Qianhui Wu 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 Qianhui Wu. Qianhui Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 27 | |
| 10 | Modeling transmission of SARS-CoV-2 Omicron in Chinabreakdown → | 175 |
| 11 | 12 | |
| 12 | 67 | |
| 13 | 65 | |
| 14 | Immunogenicity and safety of a third dose of CoronaVac, and immune persistence of a two-dose schedule, in healthy adults: interim results from two single-centre, double-blind, randomised, placebo-controlled phase 2 clinical trialsbreakdown → | 173 |
| 15 | 148 | |
| 16 | Changes in contact patterns shape the dynamics of the COVID-19 outbreak in Chinabreakdown → | 732 |
| 17 | 113 | |
| 18 | 128 | |
| 19 | 15 | |
| 20 | 66 |
About Qianhui Wu
Qianhui Wu is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), COVID-19 epidemiological studies (15 papers) and Vaccine Coverage and Hesitancy (13 papers). The work is most often cited by research in Modeling and Simulation (906 citations), Infectious Diseases (1.0k citations) and Health (443 citations). Qianhui Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hongjie Yu, Marco Ajelli, Yuxia Liang, Cécile Viboud, Stefano Merler, Juanjuan Zhang, Yan Wang, Maria Litvinova, Wei Wang and Shanlu Zhao. Their work appears in journals such as Science, Nature Medicine and Nature Communications.
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.