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Researcher · University Of Information Technology · Myanmar

Thinn Thinn Wai

Thinn Thinn Wai publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Imbalanced Data Classification Techniques, Natural Language Processing Techniques and Topic Modeling.

ORCID 0000-0003-1568-7311 OpenAlex
World rank
#5,283,967
of 7,710,434 ranked researchers
Rank in Myanmar
#185
of 416
Works
15
Citations
26
Citations per work
1.7
h-index
2
i10-index 1Top 98% in Artificial Intelligence
Thinn Thinn Wai

What does Thinn Thinn Wai research?

Thinn Thinn Wai's work is mostly in Computer Science (80%), Business, Management and Accounting (8%), Social Sciences (5%).

Physical Sciences: 12 works · 80.0% of their workComputer Science: 12 works · 80.0% of their workArtificial Intelligence: 9 works · 57.5% of their workComputer Vision and Pattern Recognition: 2 works · 10.0% of their workInformation Systems: 1 works · 7.5% of their workHardware and Architecture: 1 works · 5.0% of their workSocial Sciences: 2 works · 12.5% of their workBusiness, Management and Accounting: 1 works · 7.5% of their workAccounting: 1 works · 7.5% of their workSocial Sciences: 1 works · 5.0% of their workSociology and Political Science: 1 works · 5.0% of their workEverything else: 1 works · 7.5% of their workTHEIR WORKThinn Thinn Wai15works
Physical Sciences80%Social Sciences12%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1280.0%
    1. Business, Management and Accounting17.5%
    2. Social Sciences15.0%
  3. Everything else17.5%
  1. 1Artificial Intelligence57% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Information Systems8% of their works
  4. 4Accounting8% of their works
  5. 5Sociology and Political Science5% of their works
  6. 6Hardware and Architecture5% of their works

Research topics

Which keywords describe Thinn Thinn Wai's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Text Classification, Classification, Imbalanced Data, Machine Translation, Neural Machine Translation and Statistical Machine Translation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Neural Networks93 topics
  2. Information Retrieval62 topics
  3. Text Classification62 topics
  4. Classification51 topic
  5. Imbalanced Data51 topic
  6. Machine Translation41 topic
  7. Neural Machine Translation41 topic
  8. Statistical Machine Translation41 topic
  9. Word Representation41 topic
  10. Bankruptcy Prediction31 topic
  11. Credit Scoring31 topic
  12. Feature Selection21 topic
  13. Handwriting Recognition21 topic
  14. Interpretable Models21 topic
  15. Machine Learning Interpretability21 topic
  16. Multi-label Learning21 topic
  17. Text Detection21 topic
  18. Biomedical Ontologies11 topic
  19. Text Mining11 topic

Where does Thinn Thinn Wai work?

Thinn Thinn Wai's main affiliation in the publication record is University Of Information Technology, Myanmar.

How many publications and citations does Thinn Thinn Wai have?

OpenAlex counts 15 works and 26 citations for Thinn Thinn Wai, an h-index of 2, ranking #5,283,967 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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