Khin Yadanar Win

8 papers and 190 indexed citations i.

About

Khin Yadanar Win is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Khin Yadanar Win has authored 8 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Khin Yadanar Win’s work include Digital Imaging for Blood Diseases (6 papers), COVID-19 diagnosis using AI (4 papers) and AI in cancer detection (4 papers). Khin Yadanar Win is often cited by papers focused on Digital Imaging for Blood Diseases (6 papers), COVID-19 diagnosis using AI (4 papers) and AI in cancer detection (4 papers). Khin Yadanar Win collaborates with scholars based in Thailand and Japan. Khin Yadanar Win's co-authors include Kazuhiko Hamamoto, Noppadol Maneerat and Somsak Choomchuay and has published in prestigious journals such as BioMed Research International, Applied Sciences and Journal of Healthcare Engineering.

In The Last Decade

Co-authorship network of co-authors of Khin Yadanar Win i

Fields of papers citing papers by Khin Yadanar Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Khin Yadanar Win

Since Specialization
Citations

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).

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.

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2025