Hien Vu
- Ophthalmology top 5%
- Retinal Diseases and Treatments 2
- Statistics and Probability top 5%
- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 3
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- Ophthalmology and Visual Impairment Studies 2
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- Insurance, Mortality, Demography, Risk Management 3
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- Bayesian Methods and Mixture Models 2
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- Health disparities and outcomes 2
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Co-authors
- Matthew KnuimanShiwei ZhouPeter A KendallWendy A. DavisTimothy M. E. DavisDaniel E. FordThomas K. HoustonLynn A. Cooper
- Journals
- Journal of the American Statistical Association (2 papers)Health Services Research (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Hien Vu
19 papers receiving 641 citations
Peers
Comparison fields: 5 of 112
- Ophthalmology 165
- Statistics and Probability 87
- Applied Psychology 32
- Epidemiology 188
- Radiology, Nuclear Medicine and Imaging 97
Countries citing papers authored by Hien Vu
This map shows the geographic impact of Hien Vu'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 Hien Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hien Vu more than expected).
Fields of papers citing papers by Hien Vu
This network shows the impact of papers produced by Hien Vu. 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 Hien Vu. The network helps show where Hien Vu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hien Vu, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2006 | 16 | |
| 7 | Lutein and Zeaxanthin and Age–Related Macular Degeneration in the Melbourne Visual Impairment Project | 2005 | 1 |
| 8 | 2005 | 236 | |
| 9 | 2003 | 2 | |
| 10 | 2002 | 19 | |
| 11 | 2001 | 12 | |
| 12 | 2001 | 78 | |
| 13 | 2000 | 109 | |
| 14 | 1998 | 24 | |
| 15 | 1997 | 2 | |
| 16 | 1997 | 51 | |
| 17 | 1996 | 11 | |
| 18 | 1996 | 32 | |
| 19 | 1996 | 1 | |
| 20 | 1996 | 6 |
About Hien Vu
Hien Vu is a scholar working on Statistics and Probability, Demography, Geriatrics and Gerontology, Health and Ophthalmology, having authored 22 papers that have together received 676 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Bayesian Methods and Mixture Models (2 papers), Retinal Diseases and Treatments (2 papers), Health disparities and outcomes (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Ophthalmology and Visual Impairment Studies (2 papers). The work is most often cited by research in Ophthalmology (165 citations), Statistics and Probability (87 citations), Applied Psychology (32 citations), Epidemiology (188 citations) and Radiology, Nuclear Medicine and Imaging (97 citations). Hien Vu has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Matthew Knuiman, Shiwei Zhou, Peter A Kendall, Wendy A. Davis, Timothy M. E. Davis, Daniel E. Ford, Thomas K. Houston, Lynn A. Cooper, Ross Maller and Helen C. Bartholomew. Their work appears in journals such as Journal of the American Statistical Association, Health Services Research, Computational Statistics & Data Analysis, Journal of Multivariate Analysis and Autism.
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.