Hung-Wei Kuo
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 Clinical Research Studies 2
- Viral Infections and Vectors 1
-
- Influenza Virus Research Studies 2
- Virology and Viral Diseases 1
- Co-authors
- Kow‐Tong Chen (2 shared papers)Hsiao-Ling Chang (2 shared papers)Donald Dah-Shyong Jiang (1 shared paper)Sonja J. Olsen (1 shared paper)Scott F. Dowell (1 shared paper)Tamara L. Fisk (1 shared paper)Wan‐Ting Huang (3 shared papers)Jen-Hsiang Chuang (3 shared papers)
- Journals
- PLoS ONE (2 papers)The International Review of Research in Open and Distributed Learning (1 paper)Clinical Infectious Diseases (1 paper)New England Journal of Medicine (1 paper)Eurosurveillance (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Hung-Wei Kuo
7 papers receiving 639 citations
Hung-Wei Kuo's Hit Papers
Peers
Comparison fields: 5 of 111
- Modeling and Simulation 160
- Infectious Diseases 195
- Pulmonary and Respiratory Medicine 241
- Environmental Engineering 66
- Health, Toxicology and Mutagenesis 60
Countries citing papers authored by Hung-Wei Kuo
This map shows the geographic impact of Hung-Wei Kuo'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 Hung-Wei Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Wei Kuo more than expected).
Fields of papers citing papers by Hung-Wei Kuo
This network shows the impact of papers produced by Hung-Wei Kuo. 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 Hung-Wei Kuo. The network helps show where Hung-Wei Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung-Wei Kuo, 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 | Transmission of the Severe Acute Respiratory Syndrome on Aircraft Hit paper breakdown → | 2003 | 500 |
| 2 | 2013 | 56 | |
| 3 | 2006 | 44 | |
| 4 | 2006 | 42 | |
| 5 | 2013 | 21 | |
| 6 | 2015 | 15 | |
| 7 | 2014 | 13 |
About Hung-Wei Kuo
Hung-Wei Kuo is a scholar working on Infectious Diseases, Epidemiology, Communication, Virology and Information Systems, having authored 7 papers that have together received 691 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Influenza Virus Research Studies (2 papers), Innovative Teaching and Learning Methods (1 paper), Wikis in Education and Collaboration (1 paper), Virology and Viral Diseases (1 paper), Viral Infections and Vectors (1 paper), Mobile Learning in Education (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Modeling and Simulation (160 citations), Infectious Diseases (195 citations), Pulmonary and Respiratory Medicine (241 citations), Environmental Engineering (66 citations) and Health, Toxicology and Mutagenesis (60 citations). Hung-Wei Kuo has collaborated with scholars based in Taiwan. Frequent co-authors include Kow‐Tong Chen, Hsiao-Ling Chang, Donald Dah-Shyong Jiang, Sonja J. Olsen, Scott F. Dowell, Tamara L. Fisk, Wan‐Ting Huang, Jen-Hsiang Chuang, Fung-Chang Sung and Ruey S. Lin. Their work appears in journals such as PLoS ONE, The International Review of Research in Open and Distributed Learning, Clinical Infectious Diseases, New England Journal of Medicine and Eurosurveillance.
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.