Tomoya Sakai
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Signal Processing
- Co-authors
- Masashi SugiyamaAtsushi ImiyaYao MaMarthinus Christoffel du PlessisGang NiuHayato ItohNobuyuki ShimizuIssei Sato
- Topics
- Image Retrieval and Classification Techniques (6 papers)Phonocardiography and Auscultation Techniques (4 papers)Image and Signal Denoising Methods (4 papers)
- Partner nations
- Japan
In The Last Decade
Tomoya Sakai
41 papers receiving 176 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 73
- Computer Vision and Pattern Recognition 66
- Radiology, Nuclear Medicine and Imaging 20
- Pulmonary and Respiratory Medicine 18
- Signal Processing 18
Countries citing papers authored by Tomoya Sakai
This map shows the geographic impact of Tomoya Sakai'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 Tomoya Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Sakai more than expected).
Fields of papers citing papers by Tomoya Sakai
This network shows the impact of papers produced by Tomoya Sakai. 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 Tomoya Sakai. The network helps show where Tomoya Sakai may publish in the future.
Co-authorship network of co-authors of Tomoya Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoya Sakai. A scholar is included among the top collaborators of Tomoya Sakai 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 Tomoya Sakai. Tomoya Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | Robust modal regression with direct gradient approximation of modal regression risk. | 1 |
| 6 | 13 | |
| 7 | 12 | |
| 8 | Micro-textures of Deformed Gouges by Friction Experiments of Mont Terri Main Fault, Switzerland | 1 |
| 9 | 2 | |
| 10 | Social Media Mediation System for Closing Inter-Generational Communication Gap. | 1 |
| 11 | Theoretical comparisons of positive-unlabeled learning against positive-negative learning | 36 |
| 12 | 2 | |
| 13 | 0 | |
| 14 | Frictional properties of Shionohira Fault Gouge of Fukushima, Japan | 1 |
| 15 | Signal Processing for Lung-Sound Recognition : Separation and Classification of Continuous and Discontinuous Adventitious Sounds | 1 |
| 16 | 1 | |
| 17 | 3 | |
| 18 | Semi-supervised method for land cover classification of remotely sensed image considering spatial arrangement of the pixels | 1 |
| 19 | PDE-Based Image Processing (2) | 1 |
| 20 | [Left anterior fascicular block, left posterior fascicular block, left septal fascicular block]. | 1 |
About Tomoya Sakai
Tomoya Sakai is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Media Technology, having authored 44 papers that have together received 184 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Phonocardiography and Auscultation Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computational Mathematics (3 citations), Computer Vision and Pattern Recognition (66 citations) and Artificial Intelligence (73 citations). Tomoya Sakai has collaborated with scholars based in Japan. Frequent co-authors include Masashi Sugiyama, Atsushi Imiya, Yao Ma, Marthinus Christoffel du Plessis, Gang Niu, Hayato Itoh, Nobuyuki Shimizu, Issei Sato, Mamoru Mitsuishi and Yasuo Noda. Their work appears in journals such as Neural Networks, Machine Learning and Signal Processing.
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.