Masayuki Tanaka
- Computer Vision and Pattern Recognition top 0.5%
- Social Psychology top 1%
- Media Technology top 0.2%
- Developmental and Educational Psychology top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- Masatoshi OkutomiYusuke MonnoMasaki TomonagaXinhao LiuTetsuro MatsuzawaShinya YamamotoDaisuke KikuTatyana Humle
- Topics
- Advanced Image Processing Techniques (43 papers)Image and Signal Denoising Methods (38 papers)Image Enhancement Techniques (38 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masayuki Tanaka
175 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computer Vision and Pattern Recognition 1.8k
- Social Psychology 1.2k
- Media Technology 1.1k
- Developmental and Educational Psychology 708
- Cognitive Neuroscience 498
Countries citing papers authored by Masayuki Tanaka
This map shows the geographic impact of Masayuki Tanaka'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 Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Tanaka more than expected).
Fields of papers citing papers by Masayuki Tanaka
This network shows the impact of papers produced by Masayuki Tanaka. 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 Tanaka. The network helps show where Masayuki Tanaka may publish in the future.
Co-authorship network of co-authors of Masayuki Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Tanaka. A scholar is included among the top collaborators of Masayuki Tanaka 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 Tanaka. Masayuki Tanaka 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 | 3 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 9 | |
| 6 | Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks. | 1 |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | Image Denoising with Non-local Principal Component Analysis | 1 |
| 11 | 146 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | Back Projection Histogram Method in Homogeneous Field for Microwave Subsurface Radar | 1 |
| 19 | 4 | |
| 20 | 2 |
About Masayuki Tanaka
Masayuki Tanaka is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Developmental and Educational Psychology, having authored 193 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (43 papers), Image and Signal Denoising Methods (38 papers) and Image Enhancement Techniques (38 papers). The work is most often cited by research in Media Technology (1.1k citations), Developmental Biology (207 citations) and Computer Vision and Pattern Recognition (1.8k citations). Masayuki Tanaka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masatoshi Okutomi, Yusuke Monno, Masaki Tomonaga, Xinhao Liu, Tetsuro Matsuzawa, Shinya Yamamoto, Daisuke Kiku, Tatyana Humle, Masako Myowa‐Yamakoshi and Takashi Shibata. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Current Biology.
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.