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Researcher · Nara Institute of Science and Technology · Japan

Yasutaka Furusho

Yasutaka Furusho publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Neural Networks and Applications, Adversarial Robustness in Machine Learning and Machine Learning and ELM.

ORCID 0000-0002-0660-4337 OpenAlex
World rank
#6,517,627
of 7,710,434 ranked researchers
Rank in Japan
#264,187
of 383,136
Works
15
Citations
44
Citations per work
2.9
h-index
3
i10-index 3Top 95% in Artificial Intelligence
Yasutaka Furusho

What does Yasutaka Furusho research?

Yasutaka Furusho's work is mostly in Computer Science (89%), Engineering (8%).

Physical Sciences: 15 works · 97.3% of their workComputer Science: 13 works · 88.9% of their workArtificial Intelligence: 8 works · 55.6% of their workComputer Vision and Pattern Recognition: 3 works · 19.4% of their workComputer Networks and Communications: 2 works · 11.1% of their workHardware and Architecture: 0 works · 2.8% of their workEngineering: 1 works · 8.4% of their workControl and Systems Engineering: 1 works · 5.6% of their workElectrical and Electronic Engineering: 0 works · 2.8% of their workTHEIR WORKYasutaka Furusho15works
Physical Sciences97%

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 Science1388.9%
    2. Engineering18.4%
  1. 1Artificial Intelligence56% of their works
  2. 2Computer Vision and Pattern Recognition19% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Control and Systems Engineering6% of their works
  5. 5Hardware and Architecture3% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Yasutaka Furusho's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Machine Learning, Anomaly Detection, Adversarial Examples and Extreme Learning Machine.

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 20 words, with their numbers
  1. Deep Learning185 topics
  2. Neural Networks174 topics
  3. Backpropagation Learning91 topic
  4. Self-Organizing Maps91 topic
  5. Machine Learning52 topics
  6. Anomaly Detection42 topics
  7. Adversarial Examples31 topic
  8. Extreme Learning Machine31 topic
  9. Feedforward Networks31 topic
  10. Robustness31 topic
  11. Convolutional Neural Networks21 topic
  12. Fragmented Objects21 topic
  13. Image Recognition21 topic
  14. Intrusion Detection21 topic
  15. Network Security21 topic
  16. Outlier Detection21 topic
  17. Reconstruction21 topic
  18. Unsupervised21 topic
  19. Interpretable Models11 topic
  20. Machine Learning Interpretability11 topic

Where does Yasutaka Furusho work?

Yasutaka Furusho's main affiliation in the publication record is Nara Institute of Science and Technology, Japan.

How many publications and citations does Yasutaka Furusho have?

OpenAlex counts 15 works and 44 citations for Yasutaka Furusho, an h-index of 3, ranking #6,517,627 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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