Shinya Fujie
- Artificial Intelligence top 10%
- Social Psychology top 10%
- Control and Systems Engineering
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Co-authors
- Tetsunori KobayashiYosuke MatsusakaYoichi MatsuyamaTetsuo KobayashiKanako NakajimaHideaki KikuchiTsukasa KobayashiAkihiro Saito
- Topics
- Speech and dialogue systems (23 papers)Social Robot Interaction and HRI (10 papers)Robotics and Automated Systems (8 papers)
In The Last Decade
Shinya Fujie
36 papers receiving 282 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 178
- Social Psychology 154
- Control and Systems Engineering 61
- Experimental and Cognitive Psychology 45
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Shinya Fujie
This map shows the geographic impact of Shinya Fujie'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 Shinya Fujie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Fujie more than expected).
Fields of papers citing papers by Shinya Fujie
This network shows the impact of papers produced by Shinya Fujie. 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 Shinya Fujie. The network helps show where Shinya Fujie may publish in the future.
Co-authorship network of co-authors of Shinya Fujie
This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Fujie. A scholar is included among the top collaborators of Shinya Fujie 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 Shinya Fujie. Shinya Fujie 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users’ Interest Level | 1 |
| 7 | 1 | |
| 8 | Framework of Communication Activation Robot Participating in Multiparty Conversation | 19 |
| 9 | Psychological evaluation of a group communication activativation robot in a party game | 5 |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 8 | |
| 17 | 25 | |
| 18 | 44 | |
| 19 | 4 | |
| 20 | 1 |
About Shinya Fujie
Shinya Fujie is a scholar working on Artificial Intelligence, Human-Computer Interaction and Social Psychology, having authored 40 papers that have together received 301 indexed citations. Recurring topics across this work include Speech and dialogue systems (23 papers), Social Robot Interaction and HRI (10 papers) and Robotics and Automated Systems (8 papers). The work is most often cited by research in Social Psychology (154 citations), Human-Computer Interaction (41 citations) and Artificial Intelligence (178 citations). Shinya Fujie has collaborated with scholars based in Japan and Germany. Frequent co-authors include Tetsunori Kobayashi, Yosuke Matsusaka, Yoichi Matsuyama, Tetsuo Kobayashi, Kanako Nakajima, Hideaki Kikuchi, Tsukasa Kobayashi, Akihiro Saito, Tetsuji Ogawa and Masahiro Araki. Their work appears in journals such as The Journal of the Acoustical Society of America, Language Resources and Evaluation and Computer Speech & Language.
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.