C. Cheng
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Data-Driven Disease Surveillance
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 13
- Respiratory viral infections research 10
- Data-Driven Disease Surveillance 4
-
- COVID-19 epidemiological studies 4
- Co-authors
- Benjamin J. Cowling (13 shared papers)GM Leung (10 shared papers)Malik Peiris (9 shared papers)Vicky J. Fang (7 shared papers)Timothy M. Uyeki (5 shared papers)Peter M. Houck (5 shared papers)Eric H. Y. Lau (5 shared papers)Dkm Ip (7 shared papers)
- Journals
- Clinical Infectious Diseases (3 papers)PLoS ONE (3 papers)BMJ Open Respiratory Research (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Journal of Clinical Virology (1 paper)
- Partner nations
- Hong KongUnited StatesUnited Kingdom
In The Last Decade
C. Cheng
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Modeling and Simulation 476
- Epidemiology 899
- Infectious Diseases 360
- Agronomy and Crop Science 112
- Health 90
Countries citing papers authored by C. Cheng
This map shows the geographic impact of C. Cheng'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 C. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Cheng more than expected).
Fields of papers citing papers by C. Cheng
This network shows the impact of papers produced by C. Cheng. 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 C. Cheng. The network helps show where C. Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Cheng, 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 | 2009 | 400 | |
| 2 | 2010 | 239 | |
| 3 | 2008 | 143 | |
| 4 | 2010 | 117 | |
| 5 | 2010 | 91 | |
| 6 | 2008 | 78 | |
| 7 | 2012 | 57 | |
| 8 | 2009 | 50 | |
| 9 | 2011 | 48 | |
| 10 | 2009 | 27 | |
| 11 | 2011 | 27 | |
| 12 | 2012 | 18 | |
| 13 | 2014 | 15 | |
| 14 | 2013 | 10 | |
| 15 | 2015 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About C. Cheng
C. Cheng is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health and Physiology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (10 papers), COVID-19 epidemiological studies (4 papers), Data-Driven Disease Surveillance (4 papers), Smoking Behavior and Cessation (2 papers), Viral Infections and Outbreaks Research (2 papers), Travel-related health issues (2 papers) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Modeling and Simulation (476 citations), Epidemiology (899 citations), Infectious Diseases (360 citations), Agronomy and Crop Science (112 citations) and Health (90 citations). C. Cheng has collaborated with scholars based in Hong Kong, United States and United Kingdom. Frequent co-authors include Benjamin J. Cowling, GM Leung, Malik Peiris, Vicky J. Fang, Timothy M. Uyeki, Peter M. Houck, Eric H. Y. Lau, Dkm Ip, Kwok‐Hung Chan and R Yung. Their work appears in journals such as Clinical Infectious Diseases, PLoS ONE, BMJ Open Respiratory Research, Diagnostic Microbiology and Infectious Disease and Journal of Clinical 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.