Win Pa Pa

13 papers and 62 indexed citations i.

About

Win Pa Pa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Win Pa Pa has authored 13 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Win Pa Pa’s work include Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Speech Recognition and Synthesis (6 papers). Win Pa Pa is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Speech Recognition and Synthesis (6 papers). Win Pa Pa collaborates with scholars based in Japan, Czechia and United Kingdom. Win Pa Pa's co-authors include Ye Kyaw Thu, Eiichiro Sumita, Chenchen Ding, Andrew Finch, Masao Utiyama, Yoshinori Sagisaka, Naoto Iwahashi, Ondřej Bojar, Shantipriya Parida and Isao Goto and has published in prestigious journals such as Language Resources and Evaluation, International Journal of Electrical and Computer Engineering (IJECE) and International journal of intelligent engineering and systems.

In The Last Decade

Co-authorship network of co-authors of Win Pa Pa i

Fields of papers citing papers by Win Pa Pa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Win Pa Pa. 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 Win Pa Pa. The network helps show where Win Pa Pa may publish in the future.

Countries citing papers authored by Win Pa Pa

Since Specialization
Citations

This map shows the geographic impact of Win Pa Pa'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 Win Pa Pa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Win Pa Pa 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