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Researcher · Nagoya Institute of Technology · Japan

Keiichi Tokuda

Keiichi Tokuda publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Music and Audio Processing.

ORCID 0000-0001-6143-0133 OpenAlex
World rank
#1,105,556
of 7,710,434 ranked researchers
Rank in Japan
#15,511
of 383,136
Works
435
Citations
9.9k
Citations per work
22.8
h-index
49
i10-index 147Top 1.1% in Artificial Intelligence
Keiichi Tokuda

What does Keiichi Tokuda research?

Keiichi Tokuda's work is mostly in Computer Science (85%), Engineering (4%), Psychology (2%).

Physical Sciences: 389 works · 89.4% of their workComputer Science: 369 works · 84.9% of their workArtificial Intelligence: 184 works · 42.4% of their workSignal Processing: 137 works · 31.4% of their workComputer Vision and Pattern Recognition: 48 works · 11.1% of their workEngineering: 20 works · 4.5% of their workControl and Systems Engineering: 10 works · 2.4% of their workComputational Mechanics: 9 works · 2.1% of their workEverything else: 40 works · 9.1% of their workSocial Sciences: 7 works · 1.5% of their workPsychology: 7 works · 1.5% of their workExperimental and Cognitive Psychology: 7 works · 1.5% of their workTHEIR WORKKeiichi Tokuda435works
Physical Sciences89%Social Sciences2%

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 Science36984.9%
    2. Engineering204.5%
  2. Everything else409.1%
    1. Psychology71.5%
  1. 1Artificial Intelligence42% of their works
  2. 2Signal Processing31% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Control and Systems Engineering2% of their works
  5. 5Computational Mechanics2% of their works
  6. 6Experimental and Cognitive Psychology2% of their works

Research topics

Which keywords describe Keiichi Tokuda's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Acoustic Modeling, Deep Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement, Audio Signal Classification and Music Information Retrieval.

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. Convolutional Neural Networks3842 topics
  2. Deep Learning3763 topics
  3. Acoustic Modeling2881 topic
  4. Deep Neural Networks2881 topic
  5. Audio-Visual Speech Recognition2351 topic
  6. Speech Enhancement2351 topic
  7. Audio Signal Classification961 topic
  8. Music Information Retrieval961 topic
  9. Markov Decision Processes751 topic
  10. Spoken Dialogue Systems751 topic
  11. Neural Machine Translation701 topic
  12. Statistical Machine Translation701 topic
  13. JPEG2000451 topic
  14. Wavelet Compression451 topic
  15. Adaptive Filtering221 topic
  16. Non-Gaussian Signal Processing221 topic
  17. Dimensionality Reduction191 topic
  18. Face Recognition191 topic

Where does Keiichi Tokuda work?

Keiichi Tokuda's main affiliation in the publication record is Nagoya Institute of Technology, Japan.

How many publications and citations does Keiichi Tokuda have?

OpenAlex counts 435 works and 9,923 citations for Keiichi Tokuda, an h-index of 49, ranking #1,105,556 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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