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 20
- Image Retrieval and Classification Techniques 11
- Video Analysis and Summarization 10
- Multimodal Machine Learning Applications 10
- Human Pose and Action Recognition 6
- Advanced Neural Network Applications 6
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- Music and Audio Processing 9
- Co-authors
- Tomoharu Iwata (3 shared papers)Takeshi Kurashima (3 shared papers)Ko Fujimura (2 shared papers)Kiyoharu Aizawa (15 shared papers)Daiki Ikami (6 shared papers)Yukinobu Taniguchi (5 shared papers)Hiroyuki Arai (3 shared papers)Toshihiko Yamasaki (6 shared papers)
- Journals
- IEEE Transactions on Multimedia (2 papers)Pattern Recognition Letters (1 paper)Pattern Recognition (1 paper)Computer Vision and Image Understanding (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Go Irie
51 papers receiving 921 citations
Peers
Comparison fields: 5 of 91
- Transportation 220
- Computer Vision and Pattern Recognition 495
- Signal Processing 223
- Geography, Planning and Development 75
- Artificial Intelligence 240
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 256 | |
| 2 | 2012 | 99 | |
| 3 | 2014 | 74 | |
| 4 | 2015 | 73 | |
| 5 | 2020 | 65 | |
| 6 | 2010 | 62 | |
| 7 | Efficient Label Propagation | 2014 | 33 |
| 8 | 2021 | 30 | |
| 9 | 2010 | 24 | |
| 10 | 2014 | 17 | |
| 11 | 2013 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2009 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2009 | 11 | |
| 20 | 2022 | 10 |
About Go Irie
Go Irie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Media Technology and Aerospace Engineering, having authored 58 papers that have together received 957 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Domain Adaptation and Few-Shot Learning (13 papers), Image Retrieval and Classification Techniques (11 papers), Video Analysis and Summarization (10 papers), Multimodal Machine Learning Applications (10 papers), Music and Audio Processing (9 papers), Human Pose and Action Recognition (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Transportation (220 citations), Computer Vision and Pattern Recognition (495 citations), Signal Processing (223 citations), Geography, Planning and Development (75 citations) and Artificial Intelligence (240 citations). Go Irie has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tomoharu Iwata, Takeshi Kurashima, Ko Fujimura, Kiyoharu Aizawa, Daiki Ikami, Yukinobu Taniguchi, Hiroyuki Arai, Toshihiko Yamasaki, Zhenguo Li and Shih‐Fu Chang. Their work appears in journals such as IEEE Transactions on Multimedia, Pattern Recognition Letters, Pattern Recognition, Computer Vision and Image Understanding and Knowledge and Information Systems.
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.