Jingyi Xiao
- Modeling and Simulation top 0.5%
- Infectious Diseases top 5%
- Economics and Econometrics top 5%
- Clinical Psychology top 10%
- Health top 5%
- Co-authors
- Benjamin J. CowlingHuizhi GaoJessica Y. WongMin Whui FongSukhyun RyuEunice Y. C. ShiuQiuyan LiaoYouyi Huang
- Topics
- COVID-19 epidemiological studies (16 papers)Vaccine Coverage and Hesitancy (11 papers)Influenza Virus Research Studies (7 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Science of The Total EnvironmentClinical Infectious Diseases
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Jingyi Xiao
44 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Modeling and Simulation 447
- Infectious Diseases 247
- Economics and Econometrics 225
- Clinical Psychology 210
- Health 174
Countries citing papers authored by Jingyi Xiao
This map shows the geographic impact of Jingyi Xiao'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 Jingyi Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyi Xiao more than expected).
Fields of papers citing papers by Jingyi Xiao
This network shows the impact of papers produced by Jingyi Xiao. 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 Jingyi Xiao. The network helps show where Jingyi Xiao may publish in the future.
Co-authorship network of co-authors of Jingyi Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Jingyi Xiao. A scholar is included among the top collaborators of Jingyi Xiao 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 Jingyi Xiao. Jingyi Xiao 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 | 7 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | GC–MS and LC-MS/MS metabolomics revealed dynamic changes of volatile and non-volatile compounds during withering process of black teabreakdown → | 86 |
| 11 | 50 | |
| 12 | 5 | |
| 13 | 16 | |
| 14 | 8 | |
| 15 | 25 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | Abrupt Climate Change and Origin of Chinese Agriculture from the End of Late Pleistocene to Early Holocene | 3 |
| 20 | Quantitative analysis of the Quaternary sporopollen assem- blages:A case study of hole HZ-S core in Handan,Hebei,China. | 1 |
About Jingyi Xiao
Jingyi Xiao is a scholar working on Modeling and Simulation, Health and Biochemistry, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), Vaccine Coverage and Hesitancy (11 papers) and Influenza Virus Research Studies (7 papers). The work is most often cited by research in Modeling and Simulation (447 citations), Health (174 citations) and Infectious Diseases (247 citations). Jingyi Xiao has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Benjamin J. Cowling, Huizhi Gao, Jessica Y. Wong, Min Whui Fong, Sukhyun Ryu, Eunice Y. C. Shiu, Qiuyan Liao, Youyi Huang, Michael Y. Ni and Peng Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Clinical 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.