Ding‐Ping Liu
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in
- Epidemiology 17
- Influenza Virus Research Studies 6
- Data-Driven Disease Surveillance 5
- Virology and Viral Diseases 3
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- Vibrio bacteria research studies 5
- Co-authors
- Shu-Wan Jian (8 shared papers)Hao‐Yuan Cheng (7 shared papers)Hsien-Ho Lin (3 shared papers)Ta-Chou Vincent Ng (2 shared papers)Wan‐Ting Huang (3 shared papers)Hin‐chung Wong (3 shared papers)Luan‐Yin Chang (6 shared papers)Chin‐Yun Lee (3 shared papers)
- Journals
- Vaccine (3 papers)International Journal of Infectious Diseases (2 papers)The Journal of Infectious Diseases (2 papers)PLoS ONE (2 papers)JAMA Internal Medicine (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ding‐Ping Liu
53 papers receiving 1.9k citations
Ding‐Ping Liu's Hit Papers
Peers
Comparison fields: 5 of 125
- Modeling and Simulation 374
- Endocrinology 196
- Infectious Diseases 407
- Epidemiology 496
- Hepatology 125
Countries citing papers authored by Ding‐Ping Liu
This map shows the geographic impact of Ding‐Ping 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 Ding‐Ping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding‐Ping Liu more than expected).
Fields of papers citing papers by Ding‐Ping Liu
This network shows the impact of papers produced by Ding‐Ping 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 Ding‐Ping Liu. The network helps show where Ding‐Ping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding‐Ping 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Contact Tracing Assessment of COVID-19 Transmission Dynamics in Taiwan and Risk at Different Exposure Periods Before and After Symptom Onset Hit paper breakdown → | 2020 | 607 |
| 2 | 2000 | 146 | |
| 3 | 2006 | 134 | |
| 4 | 2015 | 101 | |
| 5 | 1999 | 83 | |
| 6 | 1997 | 64 | |
| 7 | 2004 | 63 | |
| 8 | 2005 | 63 | |
| 9 | 2012 | 55 | |
| 10 | 2020 | 55 | |
| 11 | 2021 | 49 | |
| 12 | 2020 | 45 | |
| 13 | 1998 | 43 | |
| 14 | 2013 | 38 | |
| 15 | 2012 | 35 | |
| 16 | 2017 | 34 | |
| 17 | 2014 | 33 | |
| 18 | 2022 | 30 | |
| 19 | Influenza in Taiwan: seasonality and vaccine strain match. | 2005 | 29 |
| 20 | 2020 | 25 |
About Ding‐Ping Liu
Ding‐Ping Liu is a scholar working on Epidemiology, Endocrinology, Modeling and Simulation, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 2k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (7 papers), Influenza Virus Research Studies (6 papers), COVID-19 epidemiological studies (6 papers), Data-Driven Disease Surveillance (5 papers), Vibrio bacteria research studies (5 papers), Hepatitis C virus research (3 papers), Virology and Viral Diseases (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Modeling and Simulation (374 citations), Endocrinology (196 citations), Infectious Diseases (407 citations), Epidemiology (496 citations) and Hepatology (125 citations). Ding‐Ping Liu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shu-Wan Jian, Hao‐Yuan Cheng, Hsien-Ho Lin, Ta-Chou Vincent Ng, Wan‐Ting Huang, Hin‐chung Wong, Luan‐Yin Chang, Chin‐Yun Lee, Yu‐Chia Hsieh and Li‐Min Huang. Their work appears in journals such as Vaccine, International Journal of Infectious Diseases, The Journal of Infectious Diseases, PLoS ONE and JAMA Internal Medicine.
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.