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Researcher · Myanmar Institute of Information Technology · Myanmar

Su Su Hlaing

Su Su Hlaing publishes mostly in Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Spectroscopy and Chemometric Analyses, Smart Agriculture and AI and Brain Tumor Detection and Classification.

OpenAlex
World rank
#4,789,337
of 7,710,434 ranked researchers
Rank in Myanmar
#148
of 416
Works
18
Citations
185
Citations per work
10.3
h-index
4
i10-index 3Top 69% in Information Systems
Su Su Hlaing

What does Su Su Hlaing research?

Su Su Hlaing's work is mostly in Computer Science (32%), Agricultural and Biological Sciences (7%), Chemistry (7%).

Everything else: 9 works · 47.8% of their workPhysical Sciences: 7 works · 38.6% of their workComputer Science: 6 works · 31.8% of their workInformation Systems: 2 works · 13.6% of their workArtificial Intelligence: 2 works · 9.1% of their workComputer Vision and Pattern Recognition: 2 works · 9.1% of their workChemistry: 1 works · 6.8% of their workAnalytical Chemistry: 1 works · 6.8% of their workLife Sciences: 1 works · 6.8% of their workAgricultural and Biological Sciences: 1 works · 6.8% of their workPlant Science: 1 works · 6.8% of their workSocial Sciences: 1 works · 6.8% of their workSocial Sciences: 1 works · 6.8% of their workSociology and Political Science: 1 works · 6.8% of their workTHEIR WORKSu Su Hlaing18works
Life Sciences7%Physical Sciences39%Social Sciences7%

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. Everything else947.8%
    1. Computer Science631.8%
    2. Chemistry16.8%
    1. Agricultural and Biological Sciences16.8%
    1. Social Sciences16.8%
  1. 1Information Systems14% of their works
  2. 2Computer Vision and Pattern Recognition9% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Plant Science7% of their works
  5. 5Analytical Chemistry7% of their works
  6. 6Sociology and Political Science7% of their works

Research topics

Which keywords describe Su Su Hlaing's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Machine Learning, Multivariate Calibration, Near-Infrared Spectroscopy, Brain Tumor, Convolutional Neural Networks and Graph Cuts.

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. Deep Learning84 topics
  2. Image Segmentation42 topics
  3. Machine Learning42 topics
  4. Multivariate Calibration31 topic
  5. Near-Infrared Spectroscopy31 topic
  6. Brain Tumor21 topic
  7. Convolutional Neural Networks21 topic
  8. Graph Cuts21 topic
  9. Image Recognition21 topic
  10. MRI21 topic
  11. Medical Image Analysis21 topic
  12. Ontology21 topic
  13. Plant Disease Detection21 topic
  14. QoS-Aware Middleware21 topic
  15. Semantic Web21 topic
  16. Semantic Web Services21 topic
  17. Smart Farming21 topic
  18. Gamma-Aminobutyric Acid11 topic
  19. Metabolism11 topic

Where does Su Su Hlaing work?

Su Su Hlaing's main affiliation in the publication record is Myanmar Institute of Information Technology, Myanmar.

How many publications and citations does Su Su Hlaing have?

OpenAlex counts 18 works and 185 citations for Su Su Hlaing, an h-index of 4, ranking #4,789,337 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.

Discussion

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