Yuta Nakashima
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- Multimodal Machine Learning Applications 25
- Advanced Image and Video Retrieval Techniques 19
- Video Analysis and Summarization 14
- Human Pose and Action Recognition 13
- Generative Adversarial Networks and Image Synthesis 11
- Face recognition and analysis 11
- Video Surveillance and Tracking Methods 11
- Signal Processing top 5%
- Music and Audio Processing 11
- Ophthalmology top 5%
- Artificial Intelligence top 5%
- Co-authors
- Hajime NagaharaRyo KawasakiLiangzhi LiManisha VermaMayu OtaniNoa GarcíaNoboru BabaguchiEsa Rahtu
- Journals
- IEEE Access (2 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2 papers)Neurocomputing (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yuta Nakashima
99 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 755
- Signal Processing 182
- Ophthalmology 125
- Radiology, Nuclear Medicine and Imaging 222
- Artificial Intelligence 273
Countries citing papers authored by Yuta Nakashima
This map shows the geographic impact of Yuta Nakashima'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 Yuta Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuta Nakashima more than expected).
Fields of papers citing papers by Yuta Nakashima
This network shows the impact of papers produced by Yuta Nakashima. 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 Yuta Nakashima. The network helps show where Yuta Nakashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuta Nakashima, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 31 | |
| 14 | 2020 | 3 | |
| 15 | Analysis and Classification of Gestures in TED Talks | 2020 | 0 |
| 16 | 2020 | 42 | |
| 17 | 2020 | 15 | |
| 18 | Summarization of user-generated sports video by using deep action recognition features | 2018 | 70 |
| 19 | iParaphrasing: Extracting Visually Grounded Paraphrases via an Image | 2018 | 3 |
| 20 | Quantitative evaluation on effectiveness of privacy protection for facial images | 2012 | 2 |
About Yuta Nakashima
Yuta Nakashima is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 109 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (25 papers), Advanced Image and Video Retrieval Techniques (19 papers), Video Analysis and Summarization (14 papers), Human Pose and Action Recognition (13 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Face recognition and analysis (11 papers), Music and Audio Processing (11 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (755 citations), Signal Processing (182 citations) and Ophthalmology (125 citations). Yuta Nakashima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hajime Nagahara, Ryo Kawasaki, Liangzhi Li, Manisha Verma, Mayu Otani, Noa García, Noboru Babaguchi, Esa Rahtu, Naokazu Yokoya and Tomokazu Sato. Their work appears in journals such as IEEE Access, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Neurocomputing, Multimedia Systems and Multimedia Tools and Applications.
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.