Liangyu Kang
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Neurology
- Topics
- SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 epidemiological studies (4 papers)COVID-19 Clinical Research Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC Public HealthJournal of Medical Virology
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Liangyu Kang
16 papers receiving 768 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Infectious Diseases 412
- Modeling and Simulation 221
- Epidemiology 123
- Public Health, Environmental and Occupational Health 96
- Neurology 79
Countries citing papers authored by Liangyu Kang
This map shows the geographic impact of Liangyu Kang'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 Liangyu Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangyu Kang more than expected).
Fields of papers citing papers by Liangyu Kang
This network shows the impact of papers produced by Liangyu Kang. 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 Liangyu Kang. The network helps show where Liangyu Kang may publish in the future.
Co-authorship network of co-authors of Liangyu Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Liangyu Kang. A scholar is included among the top collaborators of Liangyu Kang 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 Liangyu Kang. Liangyu Kang 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 | 4 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | Incubation Period of COVID-19 Caused by Unique SARS-CoV-2 Strainsbreakdown → | 198 |
| 10 | 25 | |
| 11 | 17 | |
| 12 | 15 | |
| 13 | 80 | |
| 14 | 31 | |
| 15 | 17 | |
| 16 | Global Percentage of Asymptomatic SARS-CoV-2 Infections Among the Tested Population and Individuals With Confirmed COVID-19 Diagnosisbreakdown → | 276 |
| 17 | 63 |
About Liangyu Kang
Liangyu Kang is a scholar working on Modeling and Simulation, Infectious Diseases and Obstetrics and Gynecology, having authored 17 papers that have together received 784 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (221 citations), Infectious Diseases (412 citations) and Health (69 citations). Liangyu Kang has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Min Liu, Jue Liu, Yu Wu, Wenzhan Jing, Qiuyue Ma, Qiao Liu, Wannian Liang, Liu Runqing, Zirui Guo and Guiying Cao. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Public Health and Journal of Medical Virology.
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.