Jun Hatori

418 total citations
6 papers, 151 citations indexed

About

Jun Hatori is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Hatori has authored 6 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Industrial and Manufacturing Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jun Hatori's work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Speech and dialogue systems (3 papers). Jun Hatori is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Speech and dialogue systems (3 papers). Jun Hatori collaborates with scholars based in Japan, United Kingdom and China. Jun Hatori's co-authors include Yusuke Miyao, Jun’ichi Tsujii, Takuya Matsuzaki, Ayano Kobayashi, Daisuke Sano, Satoshi Ishii, Satoshi Okabe, Hisami Suzuki and Jun'ichi Tsujii and has published in prestigious journals such as Applied Microbiology and Biotechnology, Meeting of the Association for Computational Linguistics and International Conference on Computational Linguistics.

In The Last Decade

Jun Hatori

6 papers receiving 144 citations

Peers

Jun Hatori
Comparison fields: 5 of 30
  • Artificial Intelligence 108
  • Water Science and Technology 36
  • Molecular Biology 18
  • Computer Vision and Pattern Recognition 17
  • Environmental Engineering 12
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Citations per field, relative to Jun Hatori
Jun Hatori · 1×
Citations per year, relative to Jun Hatori
Jun Hatori · 1×

Countries citing papers authored by Jun Hatori

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jun Hatori

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hatori. A scholar is included among the top collaborators of Jun Hatori 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 Hatori. Jun Hatori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1
Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
51
2 43
3
Incremental Joint POS Tagging and Dependency Parsing in Chinese
45
4
Japanese Pronunciation Prediction as Phrasal Statistical Machine Translation
5
5 4
6 3

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.

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