Go Irie
Impact in
- Transportation top 2%
- Human Mobility and Location-Based Analysis
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- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Image and Video Retrieval Techniques 18
- Multimodal Machine Learning Applications 10
- Video Analysis and Summarization 10
- Image Retrieval and Classification Techniques 9
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 5
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- Domain Adaptation and Few-Shot Learning 12
- Co-authors
- Takeshi Kurashima (3 shared papers)Tomoharu Iwata (3 shared papers)Ko Fujimura (2 shared papers)Kiyoharu Aizawa (13 shared papers)Hiroyuki Arai (3 shared papers)Yukinobu Taniguchi (4 shared papers)Zhenguo Li (2 shared papers)Shih‐Fu Chang (2 shared papers)
- Journals
- IEEE Transactions on Multimedia (2 papers)Pattern Recognition Letters (1 paper)International Journal of Computer Vision (1 paper)Knowledge and Information Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Go Irie
41 papers receiving 731 citations
Peers
Comparison fields: 5 of 86
- Transportation 188
- Computer Vision and Pattern Recognition 406
- Signal Processing 188
- Geography, Planning and Development 63
- Information Systems 126
Countries citing papers authored by Go Irie
This map shows the geographic impact of Go Irie'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 Go Irie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Irie more than expected).
Fields of papers citing papers by Go Irie
This network shows the impact of papers produced by Go Irie. 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 Go Irie. The network helps show where Go Irie may publish in the future.
Co-authors
The 25 scholars most cited alongside Go Irie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 225 | |
| 2 | 2012 | 89 | |
| 3 | 2014 | 74 | |
| 4 | 2015 | 67 | |
| 5 | 2010 | 54 | |
| 6 | Efficient Label Propagation | 2014 | 31 |
| 7 | 2010 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2014 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2009 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2013 | 13 | |
| 15 | 2023 | 10 | |
| 16 | 2009 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2023 | 6 |
About Go Irie
Go Irie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Aerospace Engineering and Control and Systems Engineering, having authored 48 papers that have together received 766 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (10 papers), Video Analysis and Summarization (10 papers), Image Retrieval and Classification Techniques (9 papers), Music and Audio Processing (8 papers), Human Pose and Action Recognition (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Transportation (188 citations), Computer Vision and Pattern Recognition (406 citations), Signal Processing (188 citations), Geography, Planning and Development (63 citations) and Information Systems (126 citations). Go Irie has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takeshi Kurashima, Tomoharu Iwata, Ko Fujimura, Kiyoharu Aizawa, Hiroyuki Arai, Yukinobu Taniguchi, Zhenguo Li, Shih‐Fu Chang, Toshihiko Yamasaki and Yasuhiro Fujiwara. Their work appears in journals such as IEEE Transactions on Multimedia, Pattern Recognition Letters, International Journal of Computer Vision, Knowledge and Information Systems and IEEE Access.
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.