Shu-Wan Jian
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 5
- Infectious Diseases top 5%
- Viral Infections and Vectors 4
- Viral Infections and Outbreaks Research 4
- Clinical Psychology top 10%
- Information Systems top 5%
- COVID-19 Digital Contact Tracing 2
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- Mosquito-borne diseases and control 3
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- Influenza Virus Research Studies 2
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- Viral Infections and Immunology Research 1
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- Dengue and Mosquito Control Research 1
- Co-authors
- Ding‐Ping LiuHao‐Yuan ChengHsien-Ho LinTa-Chou Vincent NgWan‐Ting HuangFeng‐Yee ChangHsiao‐Han ChangTed Cohen
- Journals
- JAMA Internal Medicine (2 papers)Health Security (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Shu-Wan Jian
10 papers receiving 693 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Modeling and Simulation 327
- Infectious Diseases 355
- Clinical Psychology 124
- Information Systems 117
- Oncology 94
Countries citing papers authored by Shu-Wan Jian
This map shows the geographic impact of Shu-Wan Jian'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 Shu-Wan Jian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Wan Jian more than expected).
Fields of papers citing papers by Shu-Wan Jian
This network shows the impact of papers produced by Shu-Wan Jian. 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 Shu-Wan Jian. The network helps show where Shu-Wan Jian may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Shu-Wan Jian, 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 | 2022 | 9 | |
| 2 | 2021 | 38 | |
| 3 | 2020 | 52 | |
| 4 | Contact Tracing Assessment of COVID-19 Transmission Dynamics in Taiwan and Risk at Different Exposure Periods Before and After Symptom Onsetbreakdown → | 2020 | 537 |
| 5 | 2018 | 2 | |
| 6 | 2017 | 30 | |
| 7 | 2015 | 7 | |
| 8 | 2014 | 17 | |
| 9 | Survey of Dengue Fever Vector Density before and after Insecticide Spraying | 2011 | 2 |
| 10 | 2011 | 21 |
About Shu-Wan Jian
Shu-Wan Jian is a scholar working on Modeling and Simulation, Infectious Diseases and Parasitology, having authored 10 papers that have together received 715 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Viral Infections and Vectors (4 papers), Viral Infections and Outbreaks Research (4 papers), Mosquito-borne diseases and control (3 papers), Influenza Virus Research Studies (2 papers), COVID-19 Digital Contact Tracing (2 papers), Viral Infections and Immunology Research (1 paper) and Dengue and Mosquito Control Research (1 paper). The work is most often cited by research in Modeling and Simulation (327 citations), Infectious Diseases (355 citations) and Clinical Psychology (124 citations). Shu-Wan Jian has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Ding‐Ping Liu, Hao‐Yuan Cheng, Hsien-Ho Lin, Ta-Chou Vincent Ng, Wan‐Ting Huang, Feng‐Yee Chang, Hsiao‐Han Chang, Ted Cohen, Ho-Sheng Wu and Chih‐Yuan Wang. Their work appears in journals such as JAMA Internal Medicine, Health Security, International Journal of Infectious Diseases, Emerging infectious diseases and Journal of the Formosan Medical Association.
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.