Yasue Kishino
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays 9
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- Context-Aware Activity Recognition Systems 13
- Augmented Reality Applications 6
- Transportation top 10%
- Human Mobility and Location-Based Analysis 6
- Signal Processing top 10%
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- Energy Efficient Wireless Sensor Networks 8
- IoT and Edge/Fog Computing 6
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- Indoor and Outdoor Localization Technologies 4
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- Water Quality Monitoring Technologies 4
- Co-authors
- Takuya MaekawaShojiro NishioTsutomu TeradaYasushi SakuraiKohei TanakaYutaka YanagisawaFutoshi NayaTakayuki Suyama
- Journals
- IEEE Pervasive Computing (2 papers)Personal and Ubiquitous Computing (1 paper)ACM Transactions on Internet Technology (1 paper)
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
Yasue Kishino
35 papers receiving 296 citations
Peers
Comparison fields: 5 of 61
- Human-Computer Interaction 82
- Computer Vision and Pattern Recognition 143
- Transportation 44
- Signal Processing 56
- Computer Science Applications 15
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
The 25 scholars most cited alongside Yasue Kishino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2020 | 0 | |
| 3 | 2018 | 2 | |
| 4 | Towards Understanding Latent Relationships Among Uncollectible Garbage and City Demographics | 2017 | 2 |
| 5 | 2017 | 4 | |
| 6 | Endangered fish habitat monitoring using a sensor network | 2014 | 1 |
| 7 | A CIL Virtual Machine for Wireless Sensor Network Applications | 2014 | 1 |
| 8 | 2012 | 21 | |
| 9 | 2010 | 2 | |
| 10 | 2010 | 2 | |
| 11 | An event-driven wearable systems for supporting pit-crew and audiences on motorbike races | 2009 | 2 |
| 12 | 2009 | 30 | |
| 13 | 2008 | 14 | |
| 14 | 2007 | 5 | |
| 15 | 2007 | 5 | |
| 16 | 2007 | 0 | |
| 17 | 2006 | 3 | |
| 18 | 2006 | 13 | |
| 19 | 2005 | 7 | |
| 20 | 2004 | 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), Energy Efficient Wireless Sensor Networks (8 papers), IoT and Edge/Fog Computing (6 papers), Augmented Reality Applications (6 papers), Human Mobility and Location-Based Analysis (6 papers), Indoor and Outdoor Localization Technologies (4 papers) and Water Quality Monitoring Technologies (4 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.