Ye Kyaw Thu
- Artificial Intelligence top 10%
- Geophysics
- Computer Vision and Pattern Recognition
- Geochemistry and Petrology
- Signal Processing
- Co-authors
- Win Pa PaMasaki EnamiEiichiro SumitaAndrew FinchMasao UtiyamaMotohiro TsuboiTakenori KatoYoshinori Sagisaka
- Topics
- Natural Language Processing Techniques (37 papers)Topic Modeling (33 papers)Speech Recognition and Synthesis (14 papers)
In The Last Decade
Ye Kyaw Thu
43 papers receiving 215 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 184
- Geophysics 53
- Computer Vision and Pattern Recognition 51
- Geochemistry and Petrology 17
- Signal Processing 14
Countries citing papers authored by Ye Kyaw Thu
This map shows the geographic impact of Ye Kyaw Thu'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 Ye Kyaw Thu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Kyaw Thu more than expected).
Fields of papers citing papers by Ye Kyaw Thu
This network shows the impact of papers produced by Ye Kyaw Thu. 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 Ye Kyaw Thu. The network helps show where Ye Kyaw Thu may publish in the future.
Co-authorship network of co-authors of Ye Kyaw Thu
This figure shows the co-authorship network connecting the top 25 collaborators of Ye Kyaw Thu. A scholar is included among the top collaborators of Ye Kyaw Thu 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 Ye Kyaw Thu. Ye Kyaw Thu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | UCSYNLP-Lab Machine Translation Systems for WAT 2018. | 2 |
| 12 | 16 | |
| 13 | Introducing the Asian Language Treebank (ALT). | 20 |
| 14 | Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary. | 12 |
| 15 | 16 | |
| 16 | A Large-scale Study of Statistical Machine Translation Methods for Khmer Language | 3 |
| 17 | Empirical Dependency-Based Head Finalization for Statistical Chinese-, English-, and French-to-Myanmar (Burmese) Machine Translation | 6 |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 1 |
About Ye Kyaw Thu
Ye Kyaw Thu is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 241 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (37 papers), Topic Modeling (33 papers) and Speech Recognition and Synthesis (14 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Geophysics (53 citations) and Geochemistry and Petrology (17 citations). Ye Kyaw Thu has collaborated with scholars based in Japan, Thailand and Myanmar. Frequent co-authors include Win Pa Pa, Masaki Enami, Eiichiro Sumita, Andrew Finch, Masao Utiyama, Motohiro Tsuboi, Takenori Kato, Yoshinori Sagisaka, Thepchai Supnithi and Chenchen Ding. Their work appears in journals such as IEEE Access, Journal of Metamorphic Geology and Heliyon.
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.