Yusuke Miyao

4.7k total citations
177 papers, 2.8k citations indexed

About

Yusuke Miyao is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yusuke Miyao has authored 177 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Artificial Intelligence, 21 papers in Molecular Biology and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yusuke Miyao's work include Natural Language Processing Techniques (146 papers), Topic Modeling (140 papers) and Text Readability and Simplification (34 papers). Yusuke Miyao is often cited by papers focused on Natural Language Processing Techniques (146 papers), Topic Modeling (140 papers) and Text Readability and Simplification (34 papers). Yusuke Miyao collaborates with scholars based in Japan, United Kingdom and United States. Yusuke Miyao's co-authors include Jun’ichi Tsujii, Takuya Matsuzaki, Rune Sætre, Makoto Miwa, Yuka Tateisi, Kenji Sagae, Yoshimasa Tsuruoka, Akane Yakushiji, Fei Cheng and Daniel Zeman and has published in prestigious journals such as Bioinformatics, Information Processing & Management and International Journal of Medical Informatics.

In The Last Decade

Yusuke Miyao

162 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yusuke Miyao Japan 27 2.5k 858 213 175 106 177 2.8k
Aitor Soroa Spain 22 2.0k 0.8× 290 0.3× 150 0.7× 261 1.5× 26 0.2× 77 2.2k
Degen Huang China 15 798 0.3× 328 0.4× 70 0.3× 104 0.6× 59 0.6× 121 1.0k
Qiaoming Zhu China 22 1.4k 0.6× 129 0.2× 117 0.5× 218 1.2× 19 0.2× 141 1.6k
Cícero dos Santos Brazil 9 1.8k 0.7× 138 0.2× 211 1.0× 343 2.0× 23 0.2× 11 1.9k
Barry Haddow United Kingdom 24 2.6k 1.0× 291 0.3× 598 2.8× 163 0.9× 28 0.3× 105 2.8k
Saïd Ouatik El Alaoui Morocco 18 723 0.3× 120 0.1× 102 0.5× 158 0.9× 36 0.3× 81 909
David Chiang United States 24 3.9k 1.6× 310 0.4× 479 2.2× 167 1.0× 136 1.3× 95 4.1k
Lance Ramshaw United States 14 2.0k 0.8× 213 0.2× 119 0.6× 219 1.3× 25 0.2× 34 2.1k
Chinatsu Aone United States 12 1.2k 0.5× 139 0.2× 163 0.8× 326 1.9× 33 0.3× 28 1.4k
Aria Haghighi United States 21 1.8k 0.7× 154 0.2× 154 0.7× 236 1.3× 31 0.3× 34 1.9k

Countries citing papers authored by Yusuke Miyao

Since Specialization
Citations

This map shows the geographic impact of Yusuke Miyao'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 Yusuke Miyao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Miyao more than expected).

Fields of papers citing papers by Yusuke Miyao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yusuke Miyao. 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 Yusuke Miyao. The network helps show where Yusuke Miyao may publish in the future.

Co-authorship network of co-authors of Yusuke Miyao

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

All Works

20 of 20 papers shown
1.
Inui, Kentaro, et al.. (2025). How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders. 13458–13470. 1 indexed citations
2.
Zhang, Qiang, Jason Naradowsky, & Yusuke Miyao. (2024). Self-Emotion Blended Dialogue Generation in Social Simulation Agents. 228–247. 1 indexed citations
3.
Chen, Hong, et al.. (2023). StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. Journal of Natural Language Processing. 30(1). 243–249. 4 indexed citations
4.
Chen, Hong, et al.. (2022). StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. 1739–1753. 1 indexed citations
5.
Martínez-Gómez, Pascual, Koji Mineshima, Yusuke Miyao, & Daisuke Bekki. (2017). On-demand Injection of Lexical Knowledge for Recognising Textual Entailment. 710–720. 18 indexed citations
6.
Le, Duy-Dinh, Vinh-Tiep Nguyen, Benjamin Renoust, et al.. (2016). NII-HITACHI-UIT at TRECVID 2016.. TRECVID. 4 indexed citations
7.
Tateisi, Yuka, Tomoko Ohta, Sampo Pyysalo, Yusuke Miyao, & Akiko Aizawa. (2016). Typed Entity and Relation Annotation on Computer Science Papers. Language Resources and Evaluation. 3836–3843. 4 indexed citations
8.
Miyao, Yusuke, et al.. (2015). Paraphrase Detection Based on Identical Phrase and Similar Word Matching. Waseda University Repository (Waseda University). 504–512. 2 indexed citations
9.
Tateisi, Yuka, et al.. (2014). Annotation of Computer Science Papers for Semantic Relation Extrac-tion. Language Resources and Evaluation. 1423–1429. 10 indexed citations
10.
Nguyen, Ngan Luu-Thuy, et al.. (2013). Utilizing State-of-the-art Parsers to Diagnose Problems in Treebank Annotation for a Less Resourced Language. 19–27. 3 indexed citations
11.
Miyao, Yusuke, et al.. (2013). Two-Stage Pre-ordering for Japanese-to-English Statistical Machine Translation. International Joint Conference on Natural Language Processing. 1062–1066. 10 indexed citations
12.
Miyao, Yusuke, et al.. (2013). BnO at NTCIR-10 RITE: A Strong Shallow Approach and an Inference-based Textual Entailment Recognition System.. NTCIR. 3 indexed citations
13.
Nguyen, Ngan Luu-Thuy & Yusuke Miyao. (2013). Alignment-based Annotation of Proofreading Texts toward Professional Writing Assistance. International Joint Conference on Natural Language Processing. 753–759. 2 indexed citations
14.
Tateisi, Yuka, et al.. (2013). Relation Annotation for Understanding Research Papers. 140–148. 2 indexed citations
15.
Shindo, Hiroyuki, Yusuke Miyao, Akinori Fujino, & Masaaki Nagata. (2012). Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing. Meeting of the Association for Computational Linguistics. 1. 440–448. 32 indexed citations
16.
Miyao, Yusuke, et al.. (2012). Building Japanese Predicate-argument Structure Corpus using Lexical Conceptual Structure. Language Resources and Evaluation. 1554–1558. 1 indexed citations
17.
Yu, Kun, Yusuke Miyao, Takuya Matsuzaki, Xiangli Wang, & Jun’ichi Tsujii. (2011). Analysis of the Difficulties in Chinese Deep Parsing. 48–57. 9 indexed citations
18.
Miyao, Yusuke, Rune Sætre, Kenji Sagae, Takuya Matsuzaki, & Jun’ichi Tsujii. (2008). Task-oriented Evaluation of Syntactic Parsers and Their Representations. Meeting of the Association for Computational Linguistics. 46–54. 63 indexed citations
19.
YOSHIDA, Kazuhiro, Yoshimasa Tsuruoka, Yusuke Miyao, & Jun’ichi Tsujii. (2007). Ambiguous part-of-speech tagging for improving accuracy and domain portability of syntactic parsers. Research Explorer (The University of Manchester). 1783–1788. 13 indexed citations
20.
Bekki, Daisuke, et al.. (2006). Translating HPSG-style outputs of a robust parser into typed dynamic logic. 707–714. 3 indexed citations

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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