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Researcher · The University of Osaka · Japan

Kenta Hama

Kenta Hama publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, on topics such as Multimodal Machine Learning Applications, Anomaly Detection Techniques and Applications and Advanced Graph Neural Networks.

ORCID 0000-0002-2338-9229 OpenAlex
World rank
#6,006,510
of 7,710,434 ranked researchers
Rank in Japan
#223,147
of 383,136
Works
17
Citations
68
Citations per work
4.0
h-index
4
i10-index 2Top 90% in Artificial Intelligence
Kenta Hama

What does Kenta Hama research?

Kenta Hama's work is mostly in Computer Science (85%), Engineering (4%).

Physical Sciences: 15 works · 89.6% of their workComputer Science: 15 works · 85.4% of their workArtificial Intelligence: 8 works · 45.8% of their workComputer Vision and Pattern Recognition: 6 works · 33.3% of their workComputational Theory and Mathematics: 0 works · 2.1% of their workComputer Networks and Communications: 0 works · 2.1% of their workInformation Systems: 0 works · 2.1% of their workEngineering: 1 works · 4.2% of their workIndustrial and Manufacturing Engineering: 1 works · 4.2% of their workEverything else: 2 works · 10.4% of their workTHEIR WORKKenta Hama17works
Physical Sciences90%

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 Science1585.4%
    2. Engineering14.2%
  2. Everything else210.4%
  1. 1Artificial Intelligence46% of their works
  2. 2Computer Vision and Pattern Recognition33% of their works
  3. 3Industrial and Manufacturing Engineering4% of their works
  4. 4Information Systems2% of their works
  5. 5Computational Theory and Mathematics2% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Kenta Hama's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Semi-Supervised Learning, Image Captioning, Meta-Learning, Unsupervised Learning and Visual Question Answering.

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 22 words, with their numbers
  1. Deep Learning195 topics
  2. Neural Networks144 topics
  3. Representation Learning93 topics
  4. Semi-Supervised Learning72 topics
  5. Image Captioning51 topic
  6. Meta-Learning52 topics
  7. Unsupervised Learning52 topics
  8. Visual Question Answering51 topic
  9. Anomaly Detection41 topic
  10. Feature Matching41 topic
  11. Graph Neural Networks41 topic
  12. Knowledge Graph Embedding41 topic
  13. Local Descriptors41 topic
  14. Unsupervised41 topic
  15. Domain Adaptation31 topic
  16. Machine Translation31 topic
  17. Transfer Learning31 topic
  18. Word Representation31 topic
  19. Generative Adversarial Networks21 topic
  20. Hyperparameter Optimization21 topic
  21. Image Synthesis21 topic
  22. Noisy Labels21 topic

Where does Kenta Hama work?

Kenta Hama's main affiliation in the publication record is The University of Osaka, Japan.

How many publications and citations does Kenta Hama have?

OpenAlex counts 17 works and 68 citations for Kenta Hama, an h-index of 4, ranking #6,006,510 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.

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