Hien Vu

908 citations
22 papers · 676 · h-index 11

Impact in

Papers in

Hien Vu

19 papers receiving 641 citations

Peers

Hien Vu
Comparison fields: 5 of 112
  • Ophthalmology 165
  • Statistics and Probability 87
  • Applied Psychology 32
  • Epidemiology 188
  • Radiology, Nuclear Medicine and Imaging 97
Replace Daniela C. Moga with:
Daniela C. Moga United States
Arseniy Yashkin United States
Virginia Chiocchia United Kingdom
Marion Danner Germany
S Beard United Kingdom
Vivienne J. Zhu United States
Suh-Yuh Wu United States
P. Passera Italy
Eisuke Hida Japan
Xiaoqin Wang China
Hien Vu relative to Daniela C. Moga United States Daniela C. Moga's profile →
Citations per field
00.5×
Daniela C. Moga · 1×
Citations per year

Countries citing papers authored by Hien Vu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Hien Vu Line = papers co-authored together Hien Vu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005236
2 2000109
3 200178
4 199759
5 199751
6 199632
7 199824
8 200219
9 200616
10 200112
11 199611
12 19967
13 19966
14 20244
15 20243
16 20232
17 19972
18 20032
19
Lutein and Zeaxanthin and Age–Related Macular Degeneration in the Melbourne Visual Impairment Project
20051
20 20251

About Hien Vu

Hien Vu is a scholar working on Statistics and Probability, Clinical Psychology, Epidemiology, Endocrinology, Diabetes and Metabolism and Demography, 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), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Autism Spectrum Disorder Research (2 papers), Family and Disability Support Research (2 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Retinal Diseases and Treatments (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, Wendy A. Davis, Timothy M. E. Davis, Peter A Kendall, Thomas K. Houston, Lynn A. Cooper, Daniel E. Ford, 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.

Explore authors with similar magnitude of impact