Chen-Yang Hsu
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Oncology top 10%
- Colorectal Cancer Screening and Detection
- Global Cancer Incidence and Screening
- COVID-19 and healthcare impacts
- Cancer Risks and Factors
Papers in
- Oncology 21
- Colorectal Cancer Screening and Detection 15
- Global Cancer Incidence and Screening 9
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- COVID-19 epidemiological studies 14
- Co-authors
- Chien‐Jen Chen (38 shared papers)Sam Li‐Sheng Chen (26 shared papers)Amy Ming‐Fang Yen (27 shared papers)Sherry Yueh‐Hsia Chiu (12 shared papers)Jean Ching‐Yuan Fann (14 shared papers)Hsiao-Hsuan Jen (12 shared papers)Han‐Mo Chiu (12 shared papers)Yi‐Chia Lee (8 shared papers)
- Journals
- Journal of Medical Internet Research (3 papers)Journal of Infection and Public Health (3 papers)Scientific Reports (2 papers)JMIR Public Health and Surveillance (2 papers)Preventive Medicine (2 papers)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Chen-Yang Hsu
40 papers receiving 712 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 127
- Oncology 386
- Health Informatics 12
- Infectious Diseases 142
- Health 38
Countries citing papers authored by Chen-Yang Hsu
This map shows the geographic impact of Chen-Yang Hsu'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 Chen-Yang Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Yang Hsu more than expected).
Fields of papers citing papers by Chen-Yang Hsu
This network shows the impact of papers produced by Chen-Yang Hsu. 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 Chen-Yang Hsu. The network helps show where Chen-Yang Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Yang Hsu, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2021 | 83 | |
| 3 | 2018 | 75 | |
| 4 | 2016 | 62 | |
| 5 | 2017 | 57 | |
| 6 | 2021 | 53 | |
| 7 | 2021 | 43 | |
| 8 | 2017 | 29 | |
| 9 | 2018 | 25 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2016 | 10 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2023 | 6 |
About Chen-Yang Hsu
Chen-Yang Hsu is a scholar working on Oncology, Modeling and Simulation, Infectious Diseases, Epidemiology and Surgery, having authored 46 papers that have together received 722 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (15 papers), COVID-19 epidemiological studies (14 papers), Global Cancer Incidence and Screening (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers), Gastric Cancer Management and Outcomes (5 papers), Genetic factors in colorectal cancer (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Modeling and Simulation (127 citations), Oncology (386 citations), Health Informatics (12 citations), Infectious Diseases (142 citations) and Health (38 citations). Chen-Yang Hsu has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Chien‐Jen Chen, Sam Li‐Sheng Chen, Amy Ming‐Fang Yen, Sherry Yueh‐Hsia Chiu, Jean Ching‐Yuan Fann, Hsiao-Hsuan Jen, Han‐Mo Chiu, Yi‐Chia Lee, Chao-Chih Lai and Wen‐Feng Hsu. Their work appears in journals such as Journal of Medical Internet Research, Journal of Infection and Public Health, Scientific Reports, JMIR Public Health and Surveillance and Preventive 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.