La The Vinh
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Sungyoung LeeYoung-Tack ParkBrian J. d’AuriolYoung-Koo LeeManhyung HanNguyen Duc ThangVũ Thị TầnAsad Masood Khattak
- Topics
- Context-Aware Activity Recognition Systems (6 papers)IoT and Edge/Fog Computing (3 papers)Face and Expression Recognition (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth Information ManagementArtificial Intelligence
- Partner nations
- South KoreaVietnamItaly
In The Last Decade
La The Vinh
18 papers receiving 462 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 235
- Artificial Intelligence 147
- Computer Networks and Communications 89
- Biomedical Engineering 62
- Electrical and Electronic Engineering 57
Countries citing papers authored by La The Vinh
This map shows the geographic impact of La The Vinh'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 La The Vinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites La The Vinh more than expected).
Fields of papers citing papers by La The Vinh
This network shows the impact of papers produced by La The Vinh. 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 La The Vinh. The network helps show where La The Vinh may publish in the future.
Co-authorship network of co-authors of La The Vinh
This figure shows the co-authorship network connecting the top 25 collaborators of La The Vinh. A scholar is included among the top collaborators of La The Vinh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with La The Vinh. La The Vinh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 21 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 59 | |
| 11 | 2 | |
| 12 | 122 | |
| 13 | 17 | |
| 14 | 27 | |
| 15 | 20 | |
| 16 | 36 | |
| 17 | 52 | |
| 18 | 65 |
About La The Vinh
La The Vinh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Ceramics and Composites, having authored 18 papers that have together received 491 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (6 papers), IoT and Edge/Fog Computing (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (235 citations), Health Information Management (25 citations) and Artificial Intelligence (147 citations). La The Vinh has collaborated with scholars based in South Korea, Vietnam and Italy. Frequent co-authors include Sungyoung Lee, Young-Tack Park, Brian J. d’Auriol, Young-Koo Lee, Manhyung Han, Nguyen Duc Thang, Vũ Thị Tần, Asad Masood Khattak, Hung Q. Ngo and Hyoung‐Il Kim. Their work appears in journals such as Sensors, Journal of Crystal Growth and Journal of Nanoscience and Nanotechnology.
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.