Khin Yadanar Win
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Ophthalmology top 5%
- Neurology
- Co-authors
- Noppadol ManeeratKazuhiko HamamotoSomsak ChoomchuayBingyao TanLeopold SchmettererMarcus AngDamon Wing Kee WongJodhbir S. Mehta
- Topics
- Digital Imaging for Blood Diseases (8 papers)AI in cancer detection (7 papers)COVID-19 diagnosis using AI (5 papers)
In The Last Decade
Khin Yadanar Win
14 papers receiving 338 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 223
- Computer Vision and Pattern Recognition 174
- Artificial Intelligence 120
- Ophthalmology 107
- Neurology 61
Countries citing papers authored by Khin Yadanar Win
This map shows the geographic impact of Khin Yadanar Win'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 Khin Yadanar Win with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khin Yadanar Win more than expected).
Fields of papers citing papers by Khin Yadanar Win
This network shows the impact of papers produced by Khin Yadanar Win. 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 Khin Yadanar Win. The network helps show where Khin Yadanar Win may publish in the future.
Co-authorship network of co-authors of Khin Yadanar Win
This figure shows the co-authorship network connecting the top 25 collaborators of Khin Yadanar Win. A scholar is included among the top collaborators of Khin Yadanar Win 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 Khin Yadanar Win. Khin Yadanar Win 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 | 0 | |
| 3 | 16 | |
| 4 | 19 | |
| 5 | 125 | |
| 6 | 69 | |
| 7 | 9 | |
| 8 | 30 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 20 | |
| 16 | 12 |
About Khin Yadanar Win
Khin Yadanar Win is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Ophthalmology, having authored 16 papers that have together received 354 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (8 papers), AI in cancer detection (7 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Ophthalmology (107 citations), Radiology, Nuclear Medicine and Imaging (223 citations) and Computer Vision and Pattern Recognition (174 citations). Khin Yadanar Win has collaborated with scholars based in Thailand, Japan and Austria. Frequent co-authors include Noppadol Maneerat, Kazuhiko Hamamoto, Somsak Choomchuay, Bingyao Tan, Leopold Schmetterer, Marcus Ang, Damon Wing Kee Wong and Jodhbir S. Mehta. Their work appears in journals such as BioMed Research International, Applied Sciences and Translational Vision Science & 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.