Vy Bui

23 papers receiving 336 citations

Peers

Vy Bui
Comparison fields: 5 of 85
  • Media Technology 107
  • Acoustics and Ultrasonics 7
  • Computer Vision and Pattern Recognition 142
  • Biophysics 38
  • Atomic and Molecular Physics, and Optics 180
Replace Noriaki Miura with:
Noriaki Miura Japan
Keyvan Jaferzadeh South Korea
Cédric Schockaert Belgium
Mark Andrews New Zealand
Yu Xiao China
George Nehmetallah United States
Yilin Luo United States
Darina Roitshtain Israel
Young Jae Lee United States
Muriel Roche France
Vy Bui relative to Noriaki Miura Japan Noriaki Miura's profile →
Citations per field
00.5×8.8×
Noriaki Miura · 1×
Citations per year

Countries citing papers authored by Vy Bui

Since Specialization
Citations

This map shows the geographic impact of Vy Bui'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 Vy Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vy Bui more than expected).

Fields of papers citing papers by Vy Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vy Bui. 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 Vy Bui. The network helps show where Vy Bui may publish in the future.

Co-authors

The 25 scholars most cited alongside Vy Bui, 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 Vy Bui Line = papers co-authored together Vy Bui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017171
2 202038
3 201524
4 202217
5 201817
6 199814
7 202213
8 201611
9 202010
10 20227
11 20207
12 20187
13 20205
14 20214
15 20213
16 20153
17 20232
18 20192
19 20162
20 20182

About Vy Bui

Vy Bui is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics, having authored 26 papers that have together received 362 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (4 papers), Advanced X-ray and CT Imaging (3 papers), Digital Holography and Microscopy (3 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Cardiovascular Disease and Adiposity (2 papers), COVID-19 diagnosis using AI (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Media Technology (107 citations), Acoustics and Ultrasonics (7 citations), Computer Vision and Pattern Recognition (142 citations), Biophysics (38 citations) and Atomic and Molecular Physics, and Optics (180 citations). Vy Bui has collaborated with scholars based in United States and Colombia. Frequent co-authors include Lin‐Ching Chang, Thanh Nguyen, George Nehmetallah, Christopher B. Raub, Van Lam, S. Heckman, Li‐Yueh Hsu, Marcus Y. Chen, Byung Min Chung and Lynn Ansley Fordham. Their work appears in journals such as Journal of cardiovascular computed tomography, Journal of Biomedical Optics, Neuroreport, American Journal of Tropical Medicine and Hygiene and Parkinsonism & Related Disorders.

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.

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