Science Explorer Back to mapMap
Discussion
Researcher · Aichi Prefectural University · Japan

Si Si

Si Si publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, on topics such as Stochastic processes and financial applications, Face and Expression Recognition and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0002-2406-7221 OpenAlex
World rank
#647,236
of 7,710,434 ranked researchers
Rank in Japan
#7,273
of 383,136
Works
242
Citations
42k
Citations per work
172.0
h-index
38
i10-index 86Top 2.5% in Artificial Intelligence
Si Si

What does Si Si research?

Si Si's work is mostly in Computer Science (23%), Medicine (5%), Psychology (4%).

Everything else: 156 works · 64.5% of their workPhysical Sciences: 57 works · 23.4% of their workComputer Science: 57 works · 23.4% of their workArtificial Intelligence: 35 works · 14.4% of their workComputer Vision and Pattern Recognition: 22 works · 9.0% of their workSocial Sciences: 16 works · 6.7% of their workPsychology: 8 works · 3.5% of their workExperimental and Cognitive Psychology: 8 works · 3.5% of their workEconomics, Econometrics and Finance: 8 works · 3.2% of their workFinance: 8 works · 3.2% of their workHealth Sciences: 13 works · 5.4% of their workMedicine: 13 works · 5.4% of their workCardiology and Cardiovascular Medicine: 7 works · 2.7% of their workPublic Health, Environmental and Occupational Health: 7 works · 2.7% of their workTHEIR WORKSi Si242works
Physical Sciences23%Health Sciences5%Social Sciences7%

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 else15664.5%
    1. Computer Science5723.4%
    1. Psychology83.5%
    2. Economics, Econometrics and Finance83.2%
    1. Medicine135.4%
  1. 1Artificial Intelligence14% of their works
  2. 2Computer Vision and Pattern Recognition9% of their works
  3. 3Experimental and Cognitive Psychology4% of their works
  4. 4Finance3% of their works
  5. 5Public Health, Environmental and Occupational Health3% of their works
  6. 6Cardiology and Cardiovascular Medicine3% of their works

Research topics

Which keywords describe Si Si's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Option Pricing, Stochastic Calculus, Dimensionality Reduction, Face Recognition, Domain Adaptation and Transfer Learning.

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 Learning182 topics
  2. Neural Networks182 topics
  3. Option Pricing151 topic
  4. Stochastic Calculus151 topic
  5. Dimensionality Reduction141 topic
  6. Face Recognition141 topic
  7. Domain Adaptation101 topic
  8. Transfer Learning101 topic
  9. Backpropagation Learning91 topic
  10. Convolutional Neural Networks91 topic
  11. Creativity91 topic
  12. Image Recognition91 topic
  13. Innovation91 topic
  14. Machine Translation91 topic
  15. Occupational Asthma91 topic
  16. Self-Organizing Maps91 topic
  17. Word Representation91 topic
  18. Work-Related Exposure91 topic

Where does Si Si work?

Si Si's main affiliation in the publication record is Aichi Prefectural University, Japan.

How many publications and citations does Si Si have?

OpenAlex counts 242 works and 41,617 citations for Si Si, an h-index of 38, ranking #647,236 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.

Other researchers named Si Si

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

Ask a question or share a note about Si Si. Posts are plain text and can be reported.