Van-Tu Ninh
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Information Systems
- Sociology and Political Science
- General Health Professions
- Co-authors
- Cathal GurrinMinh–Triet TranDuc‐Tien Dang‐NguyenGraham HealyLiting ZhouAnnalina CaputoSinéad SmythBjörn Þór Jónsson
- Topics
- Multimodal Machine Learning Applications (20 papers)Video Analysis and Summarization (13 papers)Advanced Image and Video Retrieval Techniques (10 papers)
- Journals
- Multimedia Tools and ApplicationsData Archiving and Networked Services (DANS)Arrow@dit (Dublin Institute of Technology)
In The Last Decade
Van-Tu Ninh
21 papers receiving 182 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 79
- Information Systems 13
- Sociology and Political Science 6
- General Health Professions 4
Countries citing papers authored by Van-Tu Ninh
This map shows the geographic impact of Van-Tu Ninh'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 Van-Tu Ninh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Van-Tu Ninh more than expected).
Fields of papers citing papers by Van-Tu Ninh
This network shows the impact of papers produced by Van-Tu Ninh. 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 Van-Tu Ninh. The network helps show where Van-Tu Ninh may publish in the future.
Co-authorship network of co-authors of Van-Tu Ninh
This figure shows the co-authorship network connecting the top 25 collaborators of Van-Tu Ninh. A scholar is included among the top collaborators of Van-Tu Ninh 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 Van-Tu Ninh. Van-Tu Ninh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | DCU team at the NTCIR-15 micro-activity retrieval task | 1 |
| 11 | Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data | 0 |
| 12 | Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog | 3 |
| 13 | 13 | |
| 14 | 40 | |
| 15 | 13 | |
| 16 | Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval. | 12 |
| 17 | 15 | |
| 18 | GameStory: An Event-based Approach. | 1 |
| 19 | 2 | |
| 20 | HCMUS team at the Multimodal Person Discovery in Broadcast TV Task of MediaEval 2016. | 0 |
About Van-Tu Ninh
Van-Tu Ninh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Development, having authored 28 papers that have together received 188 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (20 papers), Video Analysis and Summarization (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Artificial Intelligence (79 citations) and Health Informatics (1 citation). Van-Tu Ninh has collaborated with scholars based in Ireland, Vietnam and Norway. Frequent co-authors include Cathal Gurrin, Minh–Triet Tran, Duc‐Tien Dang‐Nguyen, Graham Healy, Liting Zhou, Annalina Caputo, Sinéad Smyth, Björn Þór Jónsson, Wolfgang Hürst and Jakub Lokoč. Their work appears in journals such as Multimedia Tools and Applications, Data Archiving and Networked Services (DANS) and Arrow@dit (Dublin Institute of Technology).
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.