Seiichi Uchida
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Media Technology top 0.2%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 116
- Advanced Image and Video Retrieval Techniques 66
- Image Retrieval and Classification Techniques 61
- Image Processing and 3D Reconstruction 33
- Advanced Vision and Imaging 16
- Video Analysis and Summarization 15
- Co-authors
- Brian Kenji Iwana (30 shared papers)Markus Goldstein (2 shared papers)Masakazu Iwamura (34 shared papers)Faisal Shafait (4 shared papers)Dìmosthenis Karatzas (2 shared papers)Lluís Gómez (2 shared papers)Hiroaki Sakoe (32 shared papers)Lluís-Pere de las Heras (1 shared paper)
In The Last Decade
Seiichi Uchida
234 papers receiving 5.6k citations
Seiichi Uchida's Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 3.2k
- Media Technology 1.1k
- Signal Processing 495
- Artificial Intelligence 1.4k
- Human-Computer Interaction 224
Countries citing papers authored by Seiichi Uchida
This map shows the geographic impact of Seiichi Uchida'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 Seiichi Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Uchida more than expected).
Fields of papers citing papers by Seiichi Uchida
This network shows the impact of papers produced by Seiichi Uchida. 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 Seiichi Uchida. The network helps show where Seiichi Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Seiichi Uchida, 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 255 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ICDAR 2015 competition on Robust Reading Hit paper breakdown → | 2015 | 892 |
| 2 | ICDAR 2013 Robust Reading Competition Hit paper breakdown → | 2013 | 810 |
| 3 | A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data Hit paper breakdown → | 2016 | 607 |
| 4 | An empirical survey of data augmentation for time series classification with neural networks Hit paper breakdown → | 2021 | 433 |
| 5 | 2012 | 103 | |
| 6 | 2003 | 95 | |
| 7 | 2016 | 85 | |
| 8 | 1990 | 85 | |
| 9 | 2013 | 83 | |
| 10 | 1977 | 78 | |
| 11 | 2018 | 75 | |
| 12 | 2018 | 74 | |
| 13 | 2021 | 60 | |
| 14 | 2019 | 58 | |
| 15 | 2005 | 56 | |
| 16 | 1981 | 54 | |
| 17 | 2016 | 49 | |
| 18 | 2020 | 48 | |
| 19 | 1987 | 45 | |
| 20 | 2014 | 45 |
About Seiichi Uchida
Seiichi Uchida is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Molecular Biology and Signal Processing, having authored 255 papers that have together received 5.8k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (116 papers), Advanced Image and Video Retrieval Techniques (66 papers), Image Retrieval and Classification Techniques (61 papers), Image Processing and 3D Reconstruction (33 papers), Vehicle License Plate Recognition (22 papers), Advanced Vision and Imaging (16 papers), Video Analysis and Summarization (15 papers) and Time Series Analysis and Forecasting (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Media Technology (1.1k citations), Signal Processing (495 citations), Artificial Intelligence (1.4k citations) and Human-Computer Interaction (224 citations). Seiichi Uchida has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Brian Kenji Iwana, Markus Goldstein, Masakazu Iwamura, Faisal Shafait, Dìmosthenis Karatzas, Lluís Gómez, Hiroaki Sakoe, Lluís-Pere de las Heras, David Mota and Jon Almazán. Their work appears in journals such as Pattern Recognition, PLoS ONE, IEEE Access, Pattern Recognition Letters and Nature Communications.
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.