Jun Suzuki
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
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- Cardiovascular Health and Disease Prevention
Papers in
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- Natural Language Processing Techniques 86
- Topic Modeling 85
- Speech Recognition and Synthesis 23
- Text and Document Classification Technologies 10
- Algorithms and Data Compression 8
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- Multimodal Machine Learning Applications 11
- Co-authors
- Hideki Isozaki (18 shared papers)Masaaki Nagata (31 shared papers)Tadashi Kokubo (5 shared papers)Takashi Nakamura (5 shared papers)Mitsuru Takemoto (5 shared papers)Masashi Neo (3 shared papers)Kentaro Inui (33 shared papers)Tsutomu Hirao (15 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (5 papers)Japanese Journal of Applied Physics (4 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)International Journal of Numerical Methods for Heat & Fluid Flow (3 papers)Journal of Atherosclerosis and Thrombosis (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jun Suzuki
209 papers receiving 3.0k citations
Jun Suzuki's Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 1.4k
- Cardiology and Cardiovascular Medicine 348
- Oral Surgery 94
- Computer Vision and Pattern Recognition 269
- Biomedical Engineering 490
Countries citing papers authored by Jun Suzuki
This map shows the geographic impact of Jun Suzuki'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 Jun Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Suzuki more than expected).
Fields of papers citing papers by Jun Suzuki
This network shows the impact of papers produced by Jun Suzuki. 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 Jun Suzuki. The network helps show where Jun Suzuki may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Suzuki, 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 234 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cardio-Ankle Vascular Index (CAVI) as a Novel Indicator of Arterial Stiffness: Theory, Evidence and Perspectives Hit paper breakdown → | 2011 | 354 |
| 2 | 2005 | 293 | |
| 3 | 2006 | 168 | |
| 4 | 2011 | 157 | |
| 5 | Online Large-Margin Training for Statistical Machine Translation | 2007 | 127 |
| 6 | 2016 | 115 | |
| 7 | Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data | 2008 | 86 |
| 8 | 2019 | 84 | |
| 9 | 2020 | 83 | |
| 10 | 2005 | 62 | |
| 11 | 2008 | 60 | |
| 12 | 2009 | 58 | |
| 13 | 2003 | 49 | |
| 14 | 2014 | 48 | |
| 15 | 2003 | 43 | |
| 16 | 2002 | 39 | |
| 17 | 2006 | 37 | |
| 18 | 2017 | 37 | |
| 19 | 2005 | 35 | |
| 20 | 1994 | 34 |
About Jun Suzuki
Jun Suzuki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering and Information Systems, having authored 234 papers that have together received 3.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (86 papers), Topic Modeling (85 papers), Speech Recognition and Synthesis (23 papers), Multimodal Machine Learning Applications (11 papers), Text and Document Classification Technologies (10 papers), Algorithms and Data Compression (8 papers), Speech and Audio Processing (8 papers) and Heat Transfer Mechanisms (7 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Cardiology and Cardiovascular Medicine (348 citations), Oral Surgery (94 citations), Computer Vision and Pattern Recognition (269 citations) and Biomedical Engineering (490 citations). Jun Suzuki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideki Isozaki, Masaaki Nagata, Tadashi Kokubo, Takashi Nakamura, Mitsuru Takemoto, Masashi Neo, Kentaro Inui, Tsutomu Hirao, Shun Kiyono and Eisaku Maeda. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Japanese Journal of Applied Physics, IEEE/ACM Transactions on Audio Speech and Language Processing, International Journal of Numerical Methods for Heat & Fluid Flow and Journal of Atherosclerosis and Thrombosis.
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.