Hai Vu
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
Papers in
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- Human Pose and Action Recognition 26
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- Hand Gesture Recognition Systems 25
- Gaze Tracking and Assistive Technology 9
- Co-authors
- Thi‐Lan Le (45 shared papers)Thanh-Hai Tran (41 shared papers)Trung‐Kien Dao (7 shared papers)Tomio Echigo (10 shared papers)Yasushi Yagi (10 shared papers)David Harle (4 shared papers)Keiko Yagi (7 shared papers)Masatsugu Shiba (7 shared papers)
In The Last Decade
Hai Vu
91 papers receiving 756 citations
Peers
Comparison fields: 5 of 99
- Human-Computer Interaction 134
- Gastroenterology 92
- Computer Vision and Pattern Recognition 334
- Analytical Chemistry 127
- Plant Science 158
Countries citing papers authored by Hai Vu
This map shows the geographic impact of Hai 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 Hai Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Vu more than expected).
Fields of papers citing papers by Hai Vu
This network shows the impact of papers produced by Hai 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 Hai Vu. The network helps show where Hai Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2020 | 47 | |
| 3 | 2015 | 39 | |
| 4 | 2008 | 33 | |
| 5 | 2017 | 33 | |
| 6 | 2016 | 25 | |
| 7 | 2008 | 24 | |
| 8 | 2017 | 19 | |
| 9 | 2011 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2006 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2007 | 15 | |
| 17 | 2016 | 15 | |
| 18 | 2007 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2015 | 12 |
About Hai Vu
Hai Vu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Artificial Intelligence and Gastroenterology, having authored 101 papers that have together received 811 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (26 papers), Hand Gesture Recognition Systems (25 papers), Spectroscopy and Chemometric Analyses (12 papers), Gastrointestinal Bleeding Diagnosis and Treatment (12 papers), Gait Recognition and Analysis (12 papers), Gaze Tracking and Assistive Technology (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Smart Agriculture and AI (9 papers). The work is most often cited by research in Human-Computer Interaction (134 citations), Gastroenterology (92 citations), Computer Vision and Pattern Recognition (334 citations), Analytical Chemistry (127 citations) and Plant Science (158 citations). Hai Vu has collaborated with scholars based in Vietnam, Japan and France. Frequent co-authors include Thi‐Lan Le, Thanh-Hai Tran, Trung‐Kien Dao, Tomio Echigo, Yasushi Yagi, David Harle, Keiko Yagi, Masatsugu Shiba, Kazuhide Higuchi and Paul Murray. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Pattern Recognition Letters, Inflammopharmacology and Image and Vision Computing.
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.