Toan Duc Bui
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Neural Network Applications 8
- Medical Image Segmentation Techniques 5
- Image and Signal Denoising Methods 2
-
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Jitae Shin (14 shared papers)Taesup Moon (1 shared paper)Li Wang (3 shared papers)Gang Li (3 shared papers)Dinggang Shen (3 shared papers)Weili Lin (2 shared papers)Jaehoon Jeong (2 shared papers)Jian Chen (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)Pattern Recognition (1 paper)Electronics Letters (1 paper)BioMedical Engineering OnLine (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Toan Duc Bui
18 papers receiving 206 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 13
- Computer Vision and Pattern Recognition 83
- Neurology 29
- Oral Surgery 24
- Archeology 36
Countries citing papers authored by Toan Duc Bui
This map shows the geographic impact of Toan Duc 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 Toan Duc Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toan Duc Bui more than expected).
Fields of papers citing papers by Toan Duc Bui
This network shows the impact of papers produced by Toan Duc 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 Toan Duc Bui. The network helps show where Toan Duc Bui may publish in the future.
Co-authors
The 21 scholars most cited alongside Toan Duc 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 | 2019 | 62 | |
| 2 | 2019 | 40 | |
| 3 | 2021 | 19 | |
| 4 | 2019 | 18 | |
| 5 | 2016 | 17 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 14 | |
| 8 | 2017 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2018 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2018 | 1 |
About Toan Duc Bui
Toan Duc Bui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 211 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced MIMO Systems Optimization (3 papers), Cooperative Communication and Network Coding (3 papers), Brain Tumor Detection and Classification (2 papers), Neonatal and fetal brain pathology (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Health Informatics (13 citations), Computer Vision and Pattern Recognition (83 citations), Neurology (29 citations), Oral Surgery (24 citations) and Archeology (36 citations). Toan Duc Bui has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jitae Shin, Taesup Moon, Li Wang, Gang Li, Dinggang Shen, Weili Lin, Jaehoon Jeong, Jian Chen, Hyunjin Park and Yong Xia. Their work appears in journals such as Artificial Intelligence in Medicine, Pattern Recognition, Electronics Letters, BioMedical Engineering OnLine and Biomedical Signal Processing and Control.
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.