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Researcher · Kalasin University · Thailand

Nattavut Sriwiboon

Nattavut Sriwiboon publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Brain Tumor Detection and Classification and COVID-19 diagnosis using AI.

ORCID 0009-0003-2636-8671 OpenAlex
World rank
#2,047,006
of 7,710,434 ranked researchers
Rank in Thailand
#3,713
of 23,698
Works
17
Citations
72
Citations per work
4.2
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Nattavut Sriwiboon

What does Nattavut Sriwiboon research?

Nattavut Sriwiboon's work is mostly in Computer Science (38%), Medicine (20%), Neuroscience (10%).

Physical Sciences: 6 works · 38.0% of their workComputer Science: 6 works · 38.0% of their workArtificial Intelligence: 3 works · 18.0% of their workComputer Vision and Pattern Recognition: 2 works · 14.0% of their workComputer Networks and Communications: 1 works · 6.0% of their workEverything else: 5 works · 32.0% of their workHealth Sciences: 3 works · 20.0% of their workMedicine: 3 works · 20.0% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 14.0% of their workPulmonary and Respiratory Medicine: 1 works · 6.0% of their workLife Sciences: 2 works · 10.0% of their workNeuroscience: 2 works · 10.0% of their workNeurology: 2 works · 10.0% of their workTHEIR WORKNattavutSriwiboon17works
Life Sciences10%Physical Sciences38%Health Sciences20%

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 Science638.0%
  2. Everything else532.0%
    1. Medicine320.0%
    1. Neuroscience210.0%
  1. 1Artificial Intelligence18% of their works
  2. 2Radiology, Nuclear Medicine and Imaging14% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Neurology10% of their works
  5. 5Pulmonary and Respiratory Medicine6% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe Nattavut Sriwiboon's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Medical Imaging, Transfer Learning, Medical Image Analysis, Classification and Image Segmentation.

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.

All 25 words, with their numbers
  1. Deep Learning288 topics
  2. Machine Learning175 topics
  3. Convolutional Neural Networks153 topics
  4. Medical Imaging102 topics
  5. Transfer Learning102 topics
  6. Medical Image Analysis82 topics
  7. Classification72 topics
  8. Image Segmentation72 topics
  9. Computer-Aided Detection61 topic
  10. Histopathology Images61 topic
  11. Brain Tumor51 topic
  12. COVID-1951 topic
  13. Chest X-Ray51 topic
  14. MRI51 topic
  15. Image Recognition41 topic
  16. IoT Security42 topics
  17. Object Detection41 topic
  18. Active Contours21 topic
  19. Android Malware21 topic
  20. Detection21 topic
  21. Encrypted Traffic21 topic
  22. Graph Cuts21 topic
  23. Internet Traffic21 topic
  24. Intrusion Detection21 topic
  25. Network Security21 topic

Where does Nattavut Sriwiboon work?

Nattavut Sriwiboon's main affiliation in the publication record is Kalasin University, Thailand.

How many publications and citations does Nattavut Sriwiboon have?

OpenAlex counts 17 works and 72 citations for Nattavut Sriwiboon, an h-index of 5, ranking #2,047,006 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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