Sanun Srisuk
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Media Technology top 10%
- Artificial Intelligence
- Sociology and Political Science
- Topics
- Face and Expression Recognition (13 papers)Advanced Image and Video Retrieval Techniques (10 papers)Image Retrieval and Classification Techniques (9 papers)
- Journals
- Image and Vision ComputingPattern Analysis and ApplicationsInternational Journal of Uncertainty Fuzziness and Knowledge-Based Systems
- Partner nations
- ThailandGreeceUnited Kingdom
In The Last Decade
Sanun Srisuk
24 papers receiving 230 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 185
- Signal Processing 49
- Media Technology 43
- Artificial Intelligence 42
- Sociology and Political Science 19
Countries citing papers authored by Sanun Srisuk
This map shows the geographic impact of Sanun Srisuk'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 Sanun Srisuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanun Srisuk more than expected).
Fields of papers citing papers by Sanun Srisuk
This network shows the impact of papers produced by Sanun Srisuk. 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 Sanun Srisuk. The network helps show where Sanun Srisuk may publish in the future.
Co-authorship network of co-authors of Sanun Srisuk
This figure shows the co-authorship network connecting the top 25 collaborators of Sanun Srisuk. A scholar is included among the top collaborators of Sanun Srisuk 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 Sanun Srisuk. Sanun Srisuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 57 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 7 | |
| 16 | A New Shape Matching Measure for Nonlinear Distorted Object Recognition | 7 |
| 17 | 26 | |
| 18 | An Efficient Algorithm for Face Detection in Color Images. | 2 |
| 19 | 9 | |
| 20 | 1 |
About Sanun Srisuk
Sanun Srisuk is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 26 papers that have together received 252 indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Media Technology (43 citations) and Signal Processing (49 citations). Sanun Srisuk has collaborated with scholars based in Thailand, Greece and United Kingdom. Frequent co-authors include Werasak Kurutach, A. Kadyrov, M. Petrou, Khamron Sunat and Μαρία Πέτρου. Their work appears in journals such as Image and Vision Computing, Pattern Analysis and Applications and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
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.