Yasue Kishino
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Takuya MaekawaShojiro NishioTsutomu TeradaYasushi SakuraiKohei TanakaYutaka YanagisawaFutoshi NayaTakayuki Suyama
- Topics
- Context-Aware Activity Recognition Systems (13 papers)Interactive and Immersive Displays (9 papers)Energy Efficient Wireless Sensor Networks (8 papers)
- Journals
- IEEE Pervasive ComputingPersonal and Ubiquitous ComputingACM Transactions on Internet Technology
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
Yasue Kishino
35 papers receiving 296 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 143
- Human-Computer Interaction 82
- Electrical and Electronic Engineering 74
- Computer Networks and Communications 62
- Signal Processing 56
Countries citing papers authored by Yasue Kishino
This map shows the geographic impact of Yasue Kishino'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 Yasue Kishino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasue Kishino more than expected).
Fields of papers citing papers by Yasue Kishino
This network shows the impact of papers produced by Yasue Kishino. 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 Yasue Kishino. The network helps show where Yasue Kishino may publish in the future.
Co-authorship network of co-authors of Yasue Kishino
This figure shows the co-authorship network connecting the top 25 collaborators of Yasue Kishino. A scholar is included among the top collaborators of Yasue Kishino 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 Yasue Kishino. Yasue Kishino 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 | 2 | |
| 4 | Towards Understanding Latent Relationships Among Uncollectible Garbage and City Demographics | 2 |
| 5 | 4 | |
| 6 | Endangered fish habitat monitoring using a sensor network | 1 |
| 7 | A CIL Virtual Machine for Wireless Sensor Network Applications | 1 |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | An event-driven wearable systems for supporting pit-crew and audiences on motorbike races | 2 |
| 12 | 30 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | 8 |
About Yasue Kishino
Yasue Kishino is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Transportation, having authored 42 papers that have together received 311 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Interactive and Immersive Displays (9 papers) and Energy Efficient Wireless Sensor Networks (8 papers). The work is most often cited by research in Human-Computer Interaction (82 citations), Computer Vision and Pattern Recognition (143 citations) and Transportation (44 citations). Yasue Kishino has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Takuya Maekawa, Shojiro Nishio, Tsutomu Terada, Yasushi Sakurai, Kohei Tanaka, Yutaka Yanagisawa, Futoshi Naya, Takayuki Suyama, Y. Shirai and Koji Kamei. Their work appears in journals such as IEEE Pervasive Computing, Personal and Ubiquitous Computing and ACM Transactions on Internet Technology.
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.