Naoto Yokoya
Naoto Yokoya publishes mostly in Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Remote-Sensing Image Classification, Advanced Image Fusion Techniques and Remote Sensing and Land Use.
- World rank
- #30,183 of 7,710,434 ranked researchers
- Rank in Japan
- #131 of 383,136
- Works
- 293
- Citations
- 17k
- Citations per work
- 56.3
What does Naoto Yokoya research?
Naoto Yokoya's work is mostly in Engineering (28%), Computer Science (28%), Environmental Science (10%).
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
- Physical Sciences21573.5%
- Engineering8428.5%
- Computer Science8328.2%
- Environmental Science299.9%
- Earth and Planetary Sciences206.9%
- Everything else7826.5%
- 1Media Technology28% of their works
- 2Computer Vision and Pattern Recognition19% of their works
- 3Artificial Intelligence9% of their works
- 4Atmospheric Science7% of their works
- 5Ecology6% of their works
- 6Environmental Engineering4% of their works
Research topics
Which keywords describe Naoto Yokoya's research?
The keywords of their largest research topics: Remote Sensing, Hyperspectral, Deep Learning, Support Vector Machines, Classification, Image Analysis, Wavelet Transform and Hyperspectral Imaging.
- Mineral Prospectivity
- Local Descriptors
- Forest Carbon Stocks
- Sparse Representations
- Vegetation Monitoring
- Geohazards
- Machine Learning
- Multispectral
- Hyperspectral Imaging
- Image Analysis
- Support Vector Machines
- Hyperspectral
- Remote Sensing
- Deep Learning
- Classification
- Wavelet Transform
- Image Fusion
- Biomass Estimation
- Earthquake Damage
- Phenology
- Image Denoising
- Feature Matching
- Lidar Remote Sensing
- Compositional Data Analysis
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 24 words, with their numbers
- Remote Sensing3395 topics
- Hyperspectral2262 topics
- Deep Learning2043 topics
- Support Vector Machines1622 topics
- Classification1441 topic
- Image Analysis1441 topic
- Wavelet Transform1182 topics
- Hyperspectral Imaging1063 topics
- Image Fusion821 topic
- Multispectral821 topic
- Biomass Estimation672 topics
- Machine Learning612 topics
- Earthquake Damage521 topic
- Geohazards521 topic
- Phenology431 topic
- Vegetation Monitoring431 topic
- Image Denoising361 topic
- Sparse Representations361 topic
- Feature Matching241 topic
- Forest Carbon Stocks241 topic
- Lidar Remote Sensing241 topic
- Local Descriptors241 topic
- Compositional Data Analysis181 topic
- Mineral Prospectivity181 topic
Where does Naoto Yokoya work?
Naoto Yokoya's main affiliation in the publication record is The University of Tokyo, Japan.
How many publications and citations does Naoto Yokoya have?
OpenAlex counts 293 works and 16,503 citations for Naoto Yokoya, an h-index of 61, ranking #30,183 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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
Ask a question or share a note about Naoto Yokoya. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.