Hiroharu Kawanaka
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Social Psychology
- Co-authors
- V. B. Surya PrasathBruce J. AronowShinji TsuruokaAtsushi InoueChinthaka PremachandraShuichi TsuruokaH. Waruna H. PremachandraT. Yoshikawa
- Topics
- AI in cancer detection (17 papers)Image Retrieval and Classification Techniques (15 papers)Color perception and design (10 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- JapanUnited StatesSri Lanka
In The Last Decade
Hiroharu Kawanaka
100 papers receiving 566 citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 219
- Artificial Intelligence 211
- Radiology, Nuclear Medicine and Imaging 117
- Neurology 73
- Social Psychology 55
Countries citing papers authored by Hiroharu Kawanaka
This map shows the geographic impact of Hiroharu Kawanaka'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 Hiroharu Kawanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroharu Kawanaka more than expected).
Fields of papers citing papers by Hiroharu Kawanaka
This network shows the impact of papers produced by Hiroharu Kawanaka. 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 Hiroharu Kawanaka. The network helps show where Hiroharu Kawanaka may publish in the future.
Co-authorship network of co-authors of Hiroharu Kawanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroharu Kawanaka. A scholar is included among the top collaborators of Hiroharu Kawanaka 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 Hiroharu Kawanaka. Hiroharu Kawanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 50 | |
| 12 | 0 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | Computer aided diagnosis scheme for histological classification of breast mass on ultrasonic images | 1 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Automatic Extraction of Layer Structure for Retina in OCT Image Using Morphological Operation and Active Net. | 0 |
| 19 | Automatic Determination of an Active Camera View in an Image Based e-Learning System | 5 |
| 20 | 1 |
About Hiroharu Kawanaka
Hiroharu Kawanaka is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 115 papers that have together received 601 indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Image Retrieval and Classification Techniques (15 papers) and Color perception and design (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Neurology (73 citations) and Biophysics (41 citations). Hiroharu Kawanaka has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include V. B. Surya Prasath, Bruce J. Aronow, Shinji Tsuruoka, Atsushi Inoue, Chinthaka Premachandra, Shuichi Tsuruoka, H. Waruna H. Premachandra, T. Yoshikawa, Kosuke Yamamoto and Dang N. H. Thanh. Their work appears in journals such as PLoS ONE, IEEE Access and Sensors.
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.