Kashu Yamazaki
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Ngan LeViet-Khoa Vo-HoKhoa LuuMarios SavvidesBhiksha RajChase RainwaterMinh C. TranMinh–Triet Tran
- Topics
- Human Pose and Action Recognition (7 papers)Advanced Neural Network Applications (5 papers)Multimodal Machine Learning Applications (5 papers)
- Partner nations
- United StatesVietnamJapan
In The Last Decade
Kashu Yamazaki
19 papers receiving 643 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 250
- Electrical and Electronic Engineering 201
- Computer Vision and Pattern Recognition 188
- Cognitive Neuroscience 130
- Biomedical Engineering 69
Countries citing papers authored by Kashu Yamazaki
This map shows the geographic impact of Kashu Yamazaki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kashu Yamazaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kashu Yamazaki more than expected).
Fields of papers citing papers by Kashu Yamazaki
This network shows the impact of papers produced by Kashu Yamazaki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kashu Yamazaki. The network helps show where Kashu Yamazaki may publish in the future.
Co-authorship network of co-authors of Kashu Yamazaki
This figure shows the co-authorship network connecting the top 25 collaborators of Kashu Yamazaki. A scholar is included among the top collaborators of Kashu Yamazaki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kashu Yamazaki. Kashu Yamazaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 34 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | 6 | |
| 7 | 16 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | Spiking Neural Networks and Their Applications: A Reviewbreakdown → | 293 |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 10 | |
| 15 | 149 | |
| 16 | 16 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | Towards Sensorimotor Coupling of a Spiking Neural Network and Deep Reinforcement Learning for Robotics Application | 1 |
| 20 | 1 |
About Kashu Yamazaki
Kashu Yamazaki is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hepatology, having authored 20 papers that have together received 657 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Artificial Intelligence (250 citations) and Cognitive Neuroscience (130 citations). Kashu Yamazaki has collaborated with scholars based in United States, Vietnam and Japan. Frequent co-authors include Ngan Le, Viet-Khoa Vo-Ho, Khoa Luu, Marios Savvides, Bhiksha Raj, Chase Rainwater, Minh C. Tran, Minh–Triet Tran, Roy McCann and Jackson Cothren. Their work appears in journals such as IEEE Access, International Journal of Computer Vision and Remote Sensing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.