Dat Ngo
Impact in
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- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Music and Audio Processing 13
- Speech and Audio Processing 8
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Lam Pham (17 shared papers)Thanh Duc Ngo (1 shared paper)Anh Gia-Tuan Nguyen (1 shared paper)Alexander Schindler (7 shared papers)Ian McLoughlin (2 shared papers)Khoa Tran (4 shared papers)Delaram Jarchi (4 shared papers)Anh‐Tu Nguyen (1 shared paper)
- Journals
- Applied Acoustics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Journal of the American College of Cardiology (1 paper)Processes (1 paper)International Journal of Computing (1 paper)
- Partner nations
- VietnamUnited KingdomAustria
In The Last Decade
Dat Ngo
25 papers receiving 114 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 38
- Developmental Biology 3
- Artificial Intelligence 36
- Computer Vision and Pattern Recognition 20
- Pulmonary and Respiratory Medicine 26
Countries citing papers authored by Dat Ngo
This map shows the geographic impact of Dat Ngo'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 Dat Ngo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dat Ngo more than expected).
Fields of papers citing papers by Dat Ngo
This network shows the impact of papers produced by Dat Ngo. 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 Dat Ngo. The network helps show where Dat Ngo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dat Ngo, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 35 | |
| 2 | 2022 | 13 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2016 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Dat Ngo
Dat Ngo is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 119 indexed citations. Recurring topics across this work include Music and Audio Processing (13 papers), Speech and Audio Processing (8 papers), Music Technology and Sound Studies (5 papers), Respiratory and Cough-Related Research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Phonocardiography and Auscultation Techniques (3 papers), Gene expression and cancer classification (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (38 citations), Developmental Biology (3 citations), Artificial Intelligence (36 citations), Computer Vision and Pattern Recognition (20 citations) and Pulmonary and Respiratory Medicine (26 citations). Dat Ngo has collaborated with scholars based in Vietnam, United Kingdom and Austria. Frequent co-authors include Lam Pham, Thanh Duc Ngo, Anh Gia-Tuan Nguyen, Alexander Schindler, Ian McLoughlin, Khoa Tran, Delaram Jarchi, Anh‐Tu Nguyen, Hoang Duc Nguyen and Tung Le. Their work appears in journals such as Applied Acoustics, IEEE Journal of Biomedical and Health Informatics, Journal of the American College of Cardiology, Processes and International Journal of 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.