Wasin Sinthupinyo
- Plant Science top 10%
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Industrial and Manufacturing Engineering
- Co-authors
- Kantip KiratiratanaprukSujin PatarapuwadolSupanit PorntheeraphatKosom ChaitavonThitiporn ChanwimaluangSanparith MarukatatSaowapak S. ThongvigitmaneePawan K. Dubey
- Topics
- Smart Agriculture and AI (7 papers)Image and Object Detection Techniques (4 papers)Image Retrieval and Classification Techniques (4 papers)
- Partner nations
- Thailand
In The Last Decade
Wasin Sinthupinyo
19 papers receiving 230 citations
Peers
Comparison fields: 5 of 53
- Plant Science 181
- Analytical Chemistry 110
- Computer Vision and Pattern Recognition 38
- Biomedical Engineering 19
- Industrial and Manufacturing Engineering 14
Countries citing papers authored by Wasin Sinthupinyo
This map shows the geographic impact of Wasin Sinthupinyo'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 Wasin Sinthupinyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wasin Sinthupinyo more than expected).
Fields of papers citing papers by Wasin Sinthupinyo
This network shows the impact of papers produced by Wasin Sinthupinyo. 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 Wasin Sinthupinyo. The network helps show where Wasin Sinthupinyo may publish in the future.
Co-authorship network of co-authors of Wasin Sinthupinyo
This figure shows the co-authorship network connecting the top 25 collaborators of Wasin Sinthupinyo. A scholar is included among the top collaborators of Wasin Sinthupinyo 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 Wasin Sinthupinyo. Wasin Sinthupinyo 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 | 68 | |
| 3 | 61 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | Leaf classification using structure features and Support Vector Machines | 2 |
| 8 | 9 | |
| 9 | Panorama images stitching on android phones | 2 |
| 10 | 47 | |
| 11 | 2 | |
| 12 | A binarization technique using local edge information | 0 |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 3D SURFACE RECONSTRUCTION OF LARGE MEDICAL DATA USING MARCHING CUBES IN VTK | 9 |
| 19 | 6 | |
| 20 | Improved Mixed Thai and English OCR Using Two-Step Neural Net Classification. | 1 |
About Wasin Sinthupinyo
Wasin Sinthupinyo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 20 papers that have together received 246 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Image and Object Detection Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Analytical Chemistry (110 citations), Plant Science (181 citations) and Computer Vision and Pattern Recognition (38 citations). Wasin Sinthupinyo has collaborated with scholars based in Thailand. Frequent co-authors include Kantip Kiratiratanapruk, Sujin Patarapuwadol, Supanit Porntheeraphat, Kosom Chaitavon, Thitiporn Chanwimaluang, Sanparith Marukatat, Saowapak S. Thongvigitmanee and Pawan K. Dubey. Their work appears in journals such as Computers and Electronics in Agriculture, Journal of Sensors and IET Image Processing.
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.