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Researcher · Chukyo University · Japan

Naoya Tokuda

Naoya Tokuda publishes mostly in Computer Vision and Pattern Recognition, Information Systems and Management and Industrial and Manufacturing Engineering, on topics such as Face recognition and analysis, Industrial Vision Systems and Defect Detection and Education, Management, Technology, Human Resources.

OpenAlex
World rank
#6,755,510
of 7,710,434 ranked researchers
Rank in Japan
#284,750
of 383,136
Works
19
Citations
11
Citations per work
0.6
h-index
1
i10-index 0Top 99.8% in Computer Vision and Pattern Recognition
Naoya Tokuda

What does Naoya Tokuda research?

Naoya Tokuda's work is mostly in Computer Science (23%), Engineering (13%), Decision Sciences (8%).

Everything else: 9 works · 46.2% of their workPhysical Sciences: 8 works · 41.0% of their workComputer Science: 4 works · 23.1% of their workComputer Vision and Pattern Recognition: 4 works · 23.1% of their workEngineering: 2 works · 12.8% of their workIndustrial and Manufacturing Engineering: 1 works · 7.7% of their workElectrical and Electronic Engineering: 1 works · 5.1% of their workPhysics and Astronomy: 1 works · 5.1% of their workAtomic and Molecular Physics, and Optics: 1 works · 5.1% of their workSocial Sciences: 1 works · 7.7% of their workDecision Sciences: 1 works · 7.7% of their workInformation Systems and Management: 1 works · 7.7% of their workHealth Sciences: 1 works · 5.1% of their workMedicine: 1 works · 5.1% of their workComplementary and alternative medicine: 1 works · 5.1% of their workTHEIR WORKNaoya Tokuda19works
Physical Sciences41%Health Sciences5%Social Sciences8%

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 else946.2%
    1. Computer Science423.1%
    2. Engineering212.8%
    3. Physics and Astronomy15.1%
    1. Decision Sciences17.7%
    1. Medicine15.1%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Information Systems and Management8% of their works
  3. 3Industrial and Manufacturing Engineering8% of their works
  4. 4Complementary and alternative medicine5% of their works
  5. 5Atomic and Molecular Physics, and Optics5% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Naoya Tokuda's research?

The keywords of their largest research topics: Deep Learning, Texture Analysis, Educational Technology, Fabric Defect Detection, Face Recognition, Facial Landmark Detection, Machine Vision and Organizational Change.

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 18 words, with their numbers
  1. Deep Learning83 topics
  2. Texture Analysis52 topics
  3. Educational Technology31 topic
  4. Fabric Defect Detection31 topic
  5. Face Recognition31 topic
  6. Facial Landmark Detection31 topic
  7. Machine Vision31 topic
  8. Organizational Change31 topic
  9. Color Constancy21 topic
  10. Colorimetry21 topic
  11. Education21 topic
  12. Image Segmentation21 topic
  13. Infrared21 topic
  14. Medical Image Analysis21 topic
  15. Photogrammetry21 topic
  16. Robotics Programming21 topic
  17. Small Target21 topic
  18. UAV21 topic

Where does Naoya Tokuda work?

Naoya Tokuda's main affiliation in the publication record is Chukyo University, Japan.

How many publications and citations does Naoya Tokuda have?

OpenAlex counts 19 works and 11 citations for Naoya Tokuda, an h-index of 1, ranking #6,755,510 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.

Discussion

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