Xinghui Chen
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 detection and testing 2
- Health 5
- Vaccine Coverage and Hesitancy 5
- Co-authors
- Hongjie Yu (12 shared papers)Qianhui Wu (7 shared papers)Marco Ajelli (5 shared papers)Cécile Viboud (5 shared papers)Juan Yang (9 shared papers)Xufang Bai (2 shared papers)Kaige Dong (2 shared papers)Tingyu Zhuang (3 shared papers)
- Journals
- BMC Medicine (4 papers)Clinical Infectious Diseases (2 papers)Child s Nervous System (1 paper)Science (1 paper)Biomedicine & Pharmacotherapy (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xinghui Chen
17 papers receiving 815 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 373
- Infectious Diseases 582
- Health 243
- Neurology 47
- Obstetrics and Gynecology 24
Countries citing papers authored by Xinghui Chen
This map shows the geographic impact of Xinghui Chen'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 Xinghui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinghui Chen more than expected).
Fields of papers citing papers by Xinghui Chen
This network shows the impact of papers produced by Xinghui Chen. 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 Xinghui Chen. The network helps show where Xinghui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinghui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 243 | |
| 2 | 2021 | 148 | |
| 3 | 2020 | 128 | |
| 4 | 2021 | 126 | |
| 5 | 2021 | 67 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 23 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Xinghui Chen
Xinghui Chen is a scholar working on Infectious Diseases, Health, Modeling and Simulation, Animal Science and Zoology and Epidemiology, having authored 18 papers that have together received 825 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (6 papers), COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (5 papers), Animal Virus Infections Studies (3 papers), SARS-CoV-2 detection and testing (2 papers), Meningioma and schwannoma management (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (373 citations), Infectious Diseases (582 citations), Health (243 citations), Neurology (47 citations) and Obstetrics and Gynecology (24 citations). Xinghui Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hongjie Yu, Qianhui Wu, Marco Ajelli, Cécile Viboud, Juan Yang, Xufang Bai, Kaige Dong, Tingyu Zhuang, Matthew Z. Dudley and Daniel A. Salmon. Their work appears in journals such as BMC Medicine, Clinical Infectious Diseases, Child s Nervous System, Science and Biomedicine & Pharmacotherapy.
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.