Duc My Vo
Impact in
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- Digital Imaging for Blood Diseases
- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Face and Expression Recognition 3
- Face recognition and analysis 3
- Image Retrieval and Classification Techniques 3
- Advanced Image Processing Techniques 3
- Image and Signal Denoising Methods 2
- Video Surveillance and Tracking Methods 2
- Co-authors
- Sang‐Woong Lee (2 shared papers)Sang-Woong Lee (7 shared papers)Ngoc-Quang Nguyen (2 shared papers)Yoon Jae Kim (1 shared paper)Sahadev Poudel (1 shared paper)Andreas Zell (2 shared papers)Subhash Challa (1 shared paper)Marimuthu Palaniswami (1 shared paper)
- Journals
- IEEE Access (3 papers)Information Sciences (3 papers)Engineering Applications of Artificial Intelligence (1 paper)Multimedia Tools and Applications (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- South KoreaVietnamUnited States
In The Last Decade
Duc My Vo
13 papers receiving 392 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 223
- Radiology, Nuclear Medicine and Imaging 154
- Artificial Intelligence 205
- Media Technology 52
- Neurology 38
Countries citing papers authored by Duc My Vo
This map shows the geographic impact of Duc My Vo'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 Duc My Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc My Vo more than expected).
Fields of papers citing papers by Duc My Vo
This network shows the impact of papers produced by Duc My Vo. 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 Duc My Vo. The network helps show where Duc My Vo may publish in the future.
Co-authors
The 11 scholars most cited alongside Duc My Vo, 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 | 2019 | 150 | |
| 2 | 2020 | 68 | |
| 3 | 2017 | 36 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 33 | |
| 6 | 2018 | 32 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2014 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2016 | 2 | |
| 12 | 2015 | 2 | |
| 13 | 2025 | 1 |
About Duc My Vo
Duc My Vo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Cognitive Neuroscience, having authored 13 papers that have together received 403 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image Processing Techniques (3 papers), Image Processing Techniques and Applications (2 papers), Biometric Identification and Security (2 papers), Image and Signal Denoising Methods (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Artificial Intelligence (205 citations), Media Technology (52 citations) and Neurology (38 citations). Duc My Vo has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Sang‐Woong Lee, Sang-Woong Lee, Ngoc-Quang Nguyen, Yoon Jae Kim, Sahadev Poudel, Andreas Zell, Subhash Challa, Marimuthu Palaniswami, Vince D. Calhoun and Zening Fu. Their work appears in journals such as IEEE Access, Information Sciences, Engineering Applications of Artificial Intelligence, Multimedia Tools and Applications and Expert Systems with Applications.
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.