Yusuke Sugano
Impact in
- Human-Computer Interaction top 0.05%
- Gaze Tracking and Assistive Technology
- Hand Gesture Recognition Systems
- Urban Studies top 0.2%
- Advanced Computing and Algorithms
Papers in
-
- Gaze Tracking and Assistive Technology 31
- Hand Gesture Recognition Systems 8
-
- Visual Attention and Saliency Detection 16
- Video Surveillance and Tracking Methods 6
- Co-authors
- Yoichi SatoAndreas BullingYasuyuki MatsushitaXucong ZhangTakahiro OkabeFeng LuMario FritzYifei Huang
In The Last Decade
Yusuke Sugano
51 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Human-Computer Interaction 1.7k
- Urban Studies 529
- Ophthalmology 580
- Computer Vision and Pattern Recognition 1.0k
- Computer Graphics and Computer-Aided Design 85
Countries citing papers authored by Yusuke Sugano
This map shows the geographic impact of Yusuke Sugano'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 Yusuke Sugano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Sugano more than expected).
Fields of papers citing papers by Yusuke Sugano
This network shows the impact of papers produced by Yusuke Sugano. 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 Yusuke Sugano. The network helps show where Yusuke Sugano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yusuke Sugano, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 1 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 0 | |
| 10 | 2020 | 11 | |
| 11 | 2018 | 17 | |
| 12 | MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation Hit paper breakdown → | 2017 | 345 |
| 13 | 2017 | 98 | |
| 14 | Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained environments | 2016 | 53 |
| 15 | 2016 | 39 | |
| 16 | 2015 | 192 | |
| 17 | 2013 | 137 | |
| 18 | Head pose-free appearance-based gaze sensing via eye image synthesis | 2012 | 33 |
| 19 | 2012 | 4 | |
| 20 | Evaluating Conventional Saliency Map Models for Estimating Human Egocentric Visual Attention | 2011 | 2 |
About Yusuke Sugano
Yusuke Sugano is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Urban Studies, Ophthalmology and Computer Graphics and Computer-Aided Design, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (31 papers), Visual Attention and Saliency Detection (16 papers), Retinal Imaging and Analysis (10 papers), Glaucoma and retinal disorders (9 papers), Hand Gesture Recognition Systems (8 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Computing and Algorithms (6 papers) and Ocular Surface and Contact Lens (4 papers). The work is most often cited by research in Human-Computer Interaction (1.7k citations), Urban Studies (529 citations), Ophthalmology (580 citations), Computer Vision and Pattern Recognition (1.0k citations) and Computer Graphics and Computer-Aided Design (85 citations). Yusuke Sugano has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Yoichi Sato, Andreas Bulling, Yasuyuki Matsushita, Xucong Zhang, Takahiro Okabe, Feng Lu, Mario Fritz, Yifei Huang, Erroll Wood and Peter Robinson. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access, Image and Vision Computing, International Journal of Human-Computer Interaction and ACM Transactions on Applied Perception.
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.