Jun Suzuki
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Materials Chemistry
- Co-authors
- Hideki IsozakiMasaaki NagataMitsuru TakemotoTadashi KokuboTakashi NakamuraMasashi NeoKentaro InuiTsutomu Hirao
- Topics
- Natural Language Processing Techniques (86 papers)Topic Modeling (85 papers)Speech Recognition and Synthesis (23 papers)
- Journals
- Nucleic Acids ResearchCirculationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jun Suzuki
208 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 1.4k
- Biomedical Engineering 505
- Cardiology and Cardiovascular Medicine 450
- Surgery 394
- Materials Chemistry 313
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-authorship network of co-authors of Jun Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Suzuki. A scholar is included among the top collaborators of Jun Suzuki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Suzuki. Jun Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 83 | |
| 10 | 4 | |
| 11 | JParaCrawl: A large scale web-based English-Japanese parallel corpus | 17 |
| 12 | 14 | |
| 13 | Abstract 12460: Deletion of the Angiotensin II Type 1a Receptor Prevents Atherosclerotic Plaque Rupture | 1 |
| 14 | Adaptive memory system over ethernet | 3 |
| 15 | Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data | 86 |
| 16 | The NTT Statistical Machine Translation System for IWSLT2005 | 4 |
| 17 | Kernels for Structured Natural Language Data | 8 |
| 18 | Nihon no Keizai Hatten to Gijutsu Fukyu (Economic Developement and Technology Diffusion in Japan)(Kiyokawa Yukihiko) | 1 |
| 19 | Petrological Study of the Kamuikotan Metamorphic Complex in Hokkaido, Japan | 3 |
| 20 | On the Rodingitic Rocks within the Serpentinite Masses of Hokkaido | 6 |
About Jun Suzuki
Jun Suzuki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 233 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) and Speech Recognition and Synthesis (23 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Cardiology and Cardiovascular Medicine (450 citations) and Oral Surgery (105 citations). Jun Suzuki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideki Isozaki, Masaaki Nagata, Mitsuru Takemoto, Tadashi Kokubo, Takashi Nakamura, Masashi Neo, Kentaro Inui, Tsutomu Hirao, Shun Kiyono and Eisaku Maeda. Their work appears in journals such as Nucleic Acids Research, Circulation and SHILAP Revista de lepidopterología.
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.