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Researcher · Rangsit University · Thailand

Siriporn Supratid

Siriporn Supratid publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research, on topics such as Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications and Brain Tumor Detection and Classification.

ORCID 0000-0001-6452-7491 OpenAlex
World rank
#6,618,728
of 7,710,434 ranked researchers
Rank in Thailand
#20,369
of 23,698
Works
39
Citations
300
Citations per work
7.7
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Siriporn Supratid

What does Siriporn Supratid research?

Siriporn Supratid's work is mostly in Computer Science (51%), Environmental Science (6%), Decision Sciences (6%).

Physical Sciences: 24 works · 61.5% of their workComputer Science: 20 works · 51.2% of their workComputer Vision and Pattern Recognition: 14 works · 35.0% of their workArtificial Intelligence: 4 works · 11.1% of their workComputational Theory and Mathematics: 2 works · 5.1% of their workEnvironmental Science: 2 works · 6.0% of their workGlobal and Planetary Change: 2 works · 6.0% of their workEngineering: 2 works · 4.3% of their workControl and Systems Engineering: 2 works · 4.3% of their workEverything else: 13 works · 32.5% of their workSocial Sciences: 2 works · 6.0% of their workDecision Sciences: 2 works · 6.0% of their workManagement Science and Operations Research: 2 works · 6.0% of their workTHEIR WORKSiriporn Supratid39works
Physical Sciences61%Social Sciences6%

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 Science2051.2%
    2. Environmental Science26.0%
    3. Engineering24.3%
  2. Everything else1332.5%
    1. Decision Sciences26.0%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Management Science and Operations Research6% of their works
  4. 4Global and Planetary Change6% of their works
  5. 5Computational Theory and Mathematics5% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Siriporn Supratid's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Feature Matching, Local Descriptors, Support Vector Machines, Image Recognition, Machine Learning and Object Detection.

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 21 words, with their numbers
  1. Deep Learning305 topics
  2. Convolutional Neural Networks132 topics
  3. Feature Matching91 topic
  4. Local Descriptors91 topic
  5. Support Vector Machines92 topics
  6. Image Recognition81 topic
  7. Machine Learning82 topics
  8. Object Detection81 topic
  9. Wireless Sensor Networks72 topics
  10. Brain Tumor51 topic
  11. Dimensionality Reduction51 topic
  12. Face Recognition51 topic
  13. Image Denoising51 topic
  14. MRI51 topic
  15. Sparse Representations51 topic
  16. Differential Evolution41 topic
  17. Neural Networks41 topic
  18. PID Control41 topic
  19. Particle Swarm Optimization41 topic
  20. Plant Disease Detection31 topic
  21. Smart Farming31 topic

Where does Siriporn Supratid work?

Siriporn Supratid's main affiliation in the publication record is Rangsit University, Thailand.

How many publications and citations does Siriporn Supratid have?

OpenAlex counts 39 works and 300 citations for Siriporn Supratid, an h-index of 11, ranking #6,618,728 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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