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Researcher · Phetchaburi Rajabhat University · Thailand

Thidarat Pinthong

Thidarat Pinthong publishes mostly in Computer Vision and Pattern Recognition, Plant Science and Media Technology, on topics such as Smart Agriculture and AI, Vehicle License Plate Recognition and Edcuational Technology Systems.

OpenAlex
World rank
#1,730,395
of 7,710,434 ranked researchers
Rank in Thailand
#2,927
of 23,698
Works
21
Citations
381
Citations per work
18.1
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Thidarat Pinthong

What does Thidarat Pinthong research?

Thidarat Pinthong's work is mostly in Computer Science (38%), Engineering (15%), Agricultural and Biological Sciences (10%).

Physical Sciences: 11 works · 52.4% of their workComputer Science: 8 works · 37.7% of their workComputer Vision and Pattern Recognition: 5 works · 24.6% of their workArtificial Intelligence: 2 works · 8.2% of their workInformation Systems: 1 works · 4.9% of their workEngineering: 3 works · 14.7% of their workMedia Technology: 2 works · 9.8% of their workElectrical and Electronic Engineering: 1 works · 4.9% of their workEverything else: 8 works · 37.8% of their workLife Sciences: 2 works · 9.8% of their workAgricultural and Biological Sciences: 2 works · 9.8% of their workPlant Science: 2 works · 9.8% of their workTHEIR WORKThidarat Pinthong21works
Life Sciences10%Physical Sciences52%

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 Science837.7%
    2. Engineering314.7%
  2. Everything else837.8%
    1. Agricultural and Biological Sciences29.8%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Plant Science10% of their works
  3. 3Media Technology10% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Information Systems5% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Thidarat Pinthong's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Processing, Machine Learning, Neural Network, ALPR, Automatic License Plate Recognition and Plant Disease 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 22 words, with their numbers
  1. Deep Learning165 topics
  2. Convolutional Neural Networks72 topics
  3. Image Processing72 topics
  4. Machine Learning72 topics
  5. Neural Network72 topics
  6. ALPR51 topic
  7. Automatic License Plate Recognition51 topic
  8. Plant Disease Detection51 topic
  9. Smart Farming51 topic
  10. Artificial Intelligence42 topics
  11. Banknote Recognition21 topic
  12. Chatbots21 topic
  13. Currency Recognition21 topic
  14. Decision Support System21 topic
  15. Expert Systems21 topic
  16. Face Recognition21 topic
  17. Facial Landmark Detection21 topic
  18. Feature Matching21 topic
  19. Home Automation21 topic
  20. Local Descriptors21 topic
  21. Service Robots21 topic
  22. Wireless21 topic

Where does Thidarat Pinthong work?

Thidarat Pinthong's main affiliation in the publication record is Phetchaburi Rajabhat University, Thailand.

How many publications and citations does Thidarat Pinthong have?

OpenAlex counts 21 works and 381 citations for Thidarat Pinthong, an h-index of 10, ranking #1,730,395 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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