Takeshi Yamakawa
Takeshi Yamakawa publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Neural Networks and Applications, Advanced Algorithms and Applications and Fuzzy Logic and Control Systems.
- World rank
- #679,401 of 1,633,909 ranked researchers
- Rank in Japan
- #29,640 of 114,622
- Works
- 84
- Citations
- 148
- Citations per work
- 1.8
What does Takeshi Yamakawa research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence21% of their works
- 2Computer Vision and Pattern Recognition13% of their works
- 3Control and Systems Engineering10% of their works
- 4Organic Chemistry8% of their works
- 5Biomedical Engineering7% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
- Neural Networks and Applications
- Advanced Algorithms and Applications
- Fuzzy Logic and Control Systems
- Image and Signal Denoising Methods
- Spectroscopy Techniques in Biomedical and Chemical Research
- Asymmetric Hydrogenation and Catalysis
- Catalytic C–H Functionalization Methods
- Target Tracking and Data Fusion in Sensor Networks
Which keywords describe Takeshi Yamakawa's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Backpropagation Learning, Self-Organizing Maps, PID Control, Support Vector Machines, Fuzzy Logic Systems and Image Denoising.
- Transition Metal Catalysis
- Particle Filters
- Infrared Spectroscopy
- C–H Activation
- Type-2 Fuzzy Sets
- Image Denoising
- Support Vector Machines
- Self-Organizing Maps
- Deep Learning
- Neural Networks
- Backpropagation Learning
- PID Control
- Fuzzy Logic Systems
- Sparse Representations
- Asymmetric Catalysis
- Hydrogenation
- Nonlinear Estimation
- Raman Spectroscopy
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
- Neural Networks152 topics
- Deep Learning142 topics
- Backpropagation Learning111 topic
- Self-Organizing Maps111 topic
- PID Control41 topic
- Support Vector Machines41 topic
- Fuzzy Logic Systems31 topic
- Image Denoising31 topic
- Sparse Representations31 topic
- Type-2 Fuzzy Sets31 topic
- Asymmetric Catalysis21 topic
- C–H Activation21 topic
- Hydrogenation21 topic
- Infrared Spectroscopy21 topic
- Nonlinear Estimation21 topic
- Particle Filters21 topic
- Raman Spectroscopy21 topic
- Transition Metal Catalysis21 topic
Where does Takeshi Yamakawa work?
Takeshi Yamakawa's main affiliation in the publication record is Kyushu Institute of Technology, Japan.
How many publications and citations does Takeshi Yamakawa have?
Science Explorer counts 84 works and 148 citations for Takeshi Yamakawa, ranking #679,401 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.