Hai Vu
Impact in
-
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Context-Aware Activity Recognition Systems
- Medical Image Segmentation Techniques
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
-
- Human Pose and Action Recognition 22
- Advanced Neural Network Applications 18
- Medical Image Segmentation Techniques 17
- Video Surveillance and Tracking Methods 14
-
- Hand Gesture Recognition Systems 22
- Co-authors
- Thi‐Lan Le (74 shared papers)Thanh-Hai Tran (64 shared papers)Trung‐Kien Dao (7 shared papers)Yasushi Yagi (12 shared papers)Tomio Echigo (12 shared papers)Christos Tachtatzis (5 shared papers)Paul Murray (5 shared papers)Ivan Andonović (4 shared papers)
In The Last Decade
Hai Vu
113 papers receiving 926 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 483
- Human-Computer Interaction 104
- Gastroenterology 92
- Occupational Therapy 46
- Analytical Chemistry 72
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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2020 | 56 | |
| 3 | 2015 | 45 | |
| 4 | 2017 | 42 | |
| 5 | 2016 | 29 | |
| 6 | 2008 | 25 | |
| 7 | 2022 | 25 | |
| 8 | 2018 | 22 | |
| 9 | 2017 | 21 | |
| 10 | 2006 | 20 | |
| 11 | 2017 | 19 | |
| 12 | 2007 | 17 | |
| 13 | 2015 | 17 | |
| 14 | 2016 | 17 | |
| 15 | 2016 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2015 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2007 | 14 | |
| 20 | 2018 | 13 |
About Hai Vu
Hai Vu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Gastroenterology, Artificial Intelligence and Plant Science, having authored 126 papers that have together received 974 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (22 papers), Hand Gesture Recognition Systems (22 papers), Advanced Neural Network Applications (18 papers), Medical Image Segmentation Techniques (17 papers), Video Surveillance and Tracking Methods (14 papers), Smart Agriculture and AI (13 papers), Gastrointestinal Bleeding Diagnosis and Treatment (10 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (483 citations), Human-Computer Interaction (104 citations), Gastroenterology (92 citations), Occupational Therapy (46 citations) and Analytical Chemistry (72 citations). Hai Vu has collaborated with scholars based in Vietnam, France and Japan. Frequent co-authors include Thi‐Lan Le, Thanh-Hai Tran, Trung‐Kien Dao, Yasushi Yagi, Tomio Echigo, Christos Tachtatzis, Paul Murray, Ivan Andonović, David Harle and Keiko Yagi. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Pattern Recognition Letters, Image and Vision Computing and Ecological Informatics.
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.