Masayuki Mukunoki
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Signal Processing
- Information Systems
- Co-authors
- Michihiko MinohYang WuWei LiShihong LaoNaoki AsadaTakuya FunatomiYasutomo KawanishiAtsushi Hashimoto
- Topics
- Video Surveillance and Tracking Methods (16 papers)Human Pose and Action Recognition (10 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionBiomedical EngineeringComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeurocomputing
In The Last Decade
Masayuki Mukunoki
34 papers receiving 272 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 233
- Biomedical Engineering 102
- Artificial Intelligence 35
- Signal Processing 15
- Information Systems 14
Countries citing papers authored by Masayuki Mukunoki
This map shows the geographic impact of Masayuki Mukunoki'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 Masayuki Mukunoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Mukunoki more than expected).
Fields of papers citing papers by Masayuki Mukunoki
This network shows the impact of papers produced by Masayuki Mukunoki. 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 Masayuki Mukunoki. The network helps show where Masayuki Mukunoki may publish in the future.
Co-authorship network of co-authors of Masayuki Mukunoki
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Mukunoki. A scholar is included among the top collaborators of Masayuki Mukunoki 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 Masayuki Mukunoki. Masayuki Mukunoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | Shinpuhkan2014: A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras | 20 |
| 8 | Riemannian Set-level Common-Near-Neighbor Analysis for Multiple-shot Person Re-identification | 4 |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | Robust object recognition via third-party collaborative representation | 9 |
| 13 | 20 | |
| 14 | TexCut : Background Subtraction by Texture Comparison on Graph Cut | 1 |
| 15 | 30 | |
| 16 | Intracranial aneurysms detection using directional vector of luminance distribution in MRA images | 1 |
| 17 | 25 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 1 |
About Masayuki Mukunoki
Masayuki Mukunoki is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 38 papers that have together received 279 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Human Pose and Action Recognition (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (233 citations), Biomedical Engineering (102 citations) and Computer Graphics and Computer-Aided Design (7 citations). Masayuki Mukunoki has collaborated with scholars based in Japan and China. Frequent co-authors include Michihiko Minoh, Yang Wu, Wei Li, Shihong Lao, Wei Li, Naoki Asada, Takuya Funatomi, Yasutomo Kawanishi, Atsushi Hashimoto and Akira Amano. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurocomputing.
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.