Fengchen Liu
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Virology and Viral Diseases 4
- Urinary Tract Infections Management 2
-
- Reproductive tract infections research 7
- Co-authors
- Travis C. Porco (19 shared papers)Sarah F. Ackley (9 shared papers)Thomas M. Lietman (14 shared papers)Wayne Enanoria (6 shared papers)Michael Deiner (6 shared papers)Seth Blumberg (4 shared papers)Kathleen Harriman (2 shared papers)Jennifer Zipprich (2 shared papers)
- Journals
- Epidemics (3 papers)PLoS neglected tropical diseases (3 papers)PLoS ONE (3 papers)PLoS Currents (2 papers)Journal of Asian Earth Sciences (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fengchen Liu
31 papers receiving 362 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 85
- Health 80
- Microbiology 52
- Epidemiology 128
- Infectious Diseases 57
Countries citing papers authored by Fengchen Liu
This map shows the geographic impact of Fengchen Liu'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 Fengchen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengchen Liu more than expected).
Fields of papers citing papers by Fengchen Liu
This network shows the impact of papers produced by Fengchen Liu. 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 Fengchen Liu. The network helps show where Fengchen Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengchen Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 65 | |
| 2 | 2017 | 57 | |
| 3 | 2014 | 29 | |
| 4 | 2016 | 21 | |
| 5 | 2018 | 21 | |
| 6 | 2015 | 16 | |
| 7 | 2014 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2009 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2013 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2025 | 6 | |
| 20 | 2015 | 5 |
About Fengchen Liu
Fengchen Liu is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 377 indexed citations. Recurring topics across this work include Reproductive tract infections research (7 papers), COVID-19 epidemiological studies (6 papers), Virology and Viral Diseases (4 papers), Adolescent Sexual and Reproductive Health (3 papers), Vaccine Coverage and Hesitancy (3 papers), Urinary Tract Infections Management (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Syphilis Diagnosis and Treatment (2 papers). The work is most often cited by research in Modeling and Simulation (85 citations), Health (80 citations), Microbiology (52 citations), Epidemiology (128 citations) and Infectious Diseases (57 citations). Fengchen Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Travis C. Porco, Sarah F. Ackley, Thomas M. Lietman, Wayne Enanoria, Michael Deiner, Seth Blumberg, Kathleen Harriman, Jennifer Zipprich, Lee Worden and William D. Wheaton. Their work appears in journals such as Epidemics, PLoS neglected tropical diseases, PLoS ONE, PLoS Currents and Journal of Asian Earth Sciences.
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.