Tu Bui
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- Image Retrieval and Classification Techniques 15
- Advanced Image and Video Retrieval Techniques 13
- Generative Adversarial Networks and Image Synthesis 7
- Digital Media Forensic Detection 7
- Handwritten Text Recognition Techniques 6
- Multimodal Machine Learning Applications 5
- Media Technology top 5%
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics 8
- Signal Processing top 10%
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- Numerical methods in engineering 8
- Co-authors
- John CollomosseMoacir Antonelli PontiG.Y. ChenAdam KrzyżakChing Y. SuenVijay K. DhirHailin JinTiago S. Nazaré
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- BIT Numerical Mathematics (2 papers)Engineering Analysis with Boundary Elements (2 papers)Pattern Analysis and Applications (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Tu Bui
54 papers receiving 887 citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 662
- Media Technology 136
- Computer Graphics and Computer-Aided Design 49
- Computational Mechanics 140
- Signal Processing 56
Countries citing papers authored by Tu Bui
This map shows the geographic impact of Tu 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 Tu Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu Bui more than expected).
Fields of papers citing papers by Tu Bui
This network shows the impact of papers produced by Tu 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 Tu Bui. The network helps show where Tu Bui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tu Bui, 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 | 2024 | 1 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 52 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 39 | |
| 8 | 2017 | 86 | |
| 9 | 2015 | 3 | |
| 10 | 2006 | 2 | |
| 11 | 2006 | 24 | |
| 12 | 2004 | 3 | |
| 13 | 1998 | 1 | |
| 14 | 1990 | 7 | |
| 15 | 1990 | 12 | |
| 16 | 1989 | 42 | |
| 17 | 1988 | 1 | |
| 18 | 1988 | 8 | |
| 19 | 1985 | 4 | |
| 20 | 1984 | 1 |
About Tu Bui
Tu Bui is a scholar working on Computer Vision and Pattern Recognition, Space and Planetary Science, Computational Mechanics, Computer Graphics and Computer-Aided Design and Media Technology, having authored 56 papers that have together received 945 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Numerical methods in engineering (8 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Digital Media Forensic Detection (7 papers), Handwritten Text Recognition Techniques (6 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (662 citations), Media Technology (136 citations), Computer Graphics and Computer-Aided Design (49 citations), Computational Mechanics (140 citations) and Signal Processing (56 citations). Tu Bui has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include John Collomosse, Moacir Antonelli Ponti, G.Y. Chen, Adam Krzyżak, Ching Y. Suen, Vijay K. Dhir, Hailin Jin, Tiago S. Nazaré, Shruti Agarwal and Fang Chen. Their work appears in journals such as BIT Numerical Mathematics, Engineering Analysis with Boundary Elements, Pattern Analysis and Applications, Pattern Recognition and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.