Jun Hatori
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Text Readability and Simplification
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- Fecal contamination and water quality
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 5
- Speech and dialogue systems 3
- Speech Recognition and Synthesis 1
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- Wastewater Treatment and Reuse 1
- Co-authors
- Yusuke Miyao (4 shared papers)Jun’ichi Tsujii (3 shared papers)Takuya Matsuzaki (2 shared papers)Daisuke Sano (1 shared paper)Satoshi Okabe (1 shared paper)Ayano Kobayashi (1 shared paper)Satoshi Ishii (1 shared paper)Hisami Suzuki (1 shared paper)
- Journals
- Applied Microbiology and Biotechnology (1 paper)Meeting of the Association for Computational Linguistics (1 paper)International Joint Conference on Natural Language Processing (2 papers)Journal of Natural Language Processing (1 paper)International Conference on Computational Linguistics (1 paper)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Jun Hatori
6 papers receiving 145 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 108
- Water Science and Technology 37
- Endocrinology 5
- Computer Vision and Pattern Recognition 17
- Environmental Engineering 11
Countries citing papers authored by Jun Hatori
This map shows the geographic impact of Jun Hatori'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 Hatori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hatori more than expected).
Fields of papers citing papers by Jun Hatori
This network shows the impact of papers produced by Jun Hatori. 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 Hatori. The network helps show where Jun Hatori may publish in the future.
Co-authors
The 9 scholars most cited alongside Jun Hatori, 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 | Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese | 2012 | 51 |
| 2 | Incremental Joint POS Tagging and Dependency Parsing in Chinese | 2011 | 45 |
| 3 | 2012 | 44 | |
| 4 | Japanese Pronunciation Prediction as Phrasal Statistical Machine Translation | 2011 | 5 |
| 5 | 2009 | 4 | |
| 6 | 2008 | 3 |
About Jun Hatori
Jun Hatori is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Ecology and Water Science and Technology, having authored 6 papers that have together received 152 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Speech and dialogue systems (3 papers), Handwritten Text Recognition Techniques (1 paper), Fecal contamination and water quality (1 paper), Wastewater Treatment and Reuse (1 paper), Microbial Community Ecology and Physiology (1 paper) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Artificial Intelligence (108 citations), Water Science and Technology (37 citations), Endocrinology (5 citations), Computer Vision and Pattern Recognition (17 citations) and Environmental Engineering (11 citations). Jun Hatori has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Yusuke Miyao, Jun’ichi Tsujii, Takuya Matsuzaki, Daisuke Sano, Satoshi Okabe, Ayano Kobayashi, Satoshi Ishii, Hisami Suzuki and Jun'ichi Tsujii. Their work appears in journals such as Applied Microbiology and Biotechnology, Meeting of the Association for Computational Linguistics, International Joint Conference on Natural Language Processing, Journal of Natural Language Processing and International Conference on Computational Linguistics.
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.