Ryu Iida

1.2k total citations
50 papers, 866 citations indexed

About

Ryu Iida is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ryu Iida has authored 50 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Ryu Iida's work include Natural Language Processing Techniques (39 papers), Topic Modeling (38 papers) and Speech and dialogue systems (23 papers). Ryu Iida is often cited by papers focused on Natural Language Processing Techniques (39 papers), Topic Modeling (38 papers) and Speech and dialogue systems (23 papers). Ryu Iida collaborates with scholars based in Japan, United States and Italy. Ryu Iida's co-authors include Kentaro Inui, Yūji Matsumoto, Takenobu Tokunaga, Atsumasa Uchida, Yuichi Kasai, Kentaro Torisawa, Julien Kloetzer, Jong–Hoon Oh, Massimo Poesio and Mamoru Komachi and has published in prestigious journals such as Spine, Language Resources and Evaluation and Studies in health technology and informatics.

In The Last Decade

Ryu Iida

50 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryu Iida Japan 16 730 92 86 86 39 50 866
Jonathan Weese United States 11 638 0.9× 53 0.6× 40 0.5× 54 0.6× 46 1.2× 21 756
Ann Yuan United States 6 233 0.3× 45 0.5× 20 0.2× 41 0.5× 10 0.3× 10 444
Eugenio Alberdi United Kingdom 10 171 0.2× 37 0.4× 47 0.5× 8 0.1× 23 0.6× 20 456
Billy Chiu United Kingdom 12 569 0.8× 50 0.5× 29 0.3× 46 0.5× 255 6.5× 20 750
Alessandro Ortis Italy 14 140 0.2× 189 2.1× 33 0.4× 16 0.2× 15 0.4× 43 548
Elaine Marsh United States 11 223 0.3× 65 0.7× 4 0.0× 38 0.4× 42 1.1× 27 422
Asma Salhi Australia 6 185 0.3× 35 0.4× 46 0.5× 32 0.4× 9 0.2× 15 456
Sarthak Jain United States 8 307 0.4× 93 1.0× 11 0.1× 30 0.3× 23 0.6× 20 402
Fuli Luo China 16 585 0.8× 192 2.1× 2 0.0× 49 0.6× 28 0.7× 38 811
Hua-Nong Ting Malaysia 10 128 0.2× 12 0.1× 72 0.8× 21 0.2× 40 1.0× 49 351

Countries citing papers authored by Ryu Iida

Since Specialization
Citations

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

Fields of papers citing papers by Ryu Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryu Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Ryu Iida. A scholar is included among the top collaborators of Ryu Iida 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 Ryu Iida. Ryu Iida 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.
Oh, Jong–Hoon, et al.. (2019). Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts. 4227–4237. 5 indexed citations
2.
Iida, Ryu, et al.. (2019). Extracting Symptom Names and Disease-Symptom Relationships from Web Texts Using a Multi-Column Convolutional Neural Network. Studies in health technology and informatics. 264. 423–427. 2 indexed citations
3.
4.
Iida, Ryu, et al.. (2018). Annotating Zero Anaphora for Question Answering. Language Resources and Evaluation. 2 indexed citations
5.
Iida, Ryu, Ryohei Sasano, Suguru Matsuyoshi, et al.. (2014). Issues on Annotation Guidelines for Japanese Predicate-Argument Structures. Journal of Natural Language Processing. 21(2). 333–377. 2 indexed citations
6.
Iida, Ryu, et al.. (2013). Investigation of annotator’s behaviour using eye-tracking data. 214–222. 2 indexed citations
7.
Tokunaga, Takenobu, et al.. (2012). The REX corpora: A collection of multimodal corpora of referring expressions in collaborative problem solving dialogues. Language Resources and Evaluation. 422–429. 11 indexed citations
8.
Funakoshi, Kotaro, Mikio Nakano, Takenobu Tokunaga, & Ryu Iida. (2012). A Unified Probabilistic Approach to Referring Expressions. Tokyo Tech Research Repository (Tokyo Institute of Technology). 237–246. 12 indexed citations
9.
Asahara, Masayuki, et al.. (2012). Identifying Temporal Relations by Sentence and Document Optimizations. International Conference on Computational Linguistics. 1371–1380. 1 indexed citations
10.
Iida, Ryu & Massimo Poesio. (2011). A Cross-Lingual ILP Solution to Zero Anaphora Resolution. Institutional Research Information System (Università degli Studi di Trento). 1. 804–813. 52 indexed citations
11.
Iida, Ryu, et al.. (2010). Towards an extrinsic evaluation of referring expressions in situated dialogs. 135–144. 3 indexed citations
12.
Kaplan, Dain, Ryu Iida, & Takenobu Tokunaga. (2010). Annotation Process Management Revisited. Language Resources and Evaluation. 5 indexed citations
13.
Iida, Ryu, et al.. (2010). Incorporating Extra-Linguistic Information into Reference Resolution in Collaborative Task Dialogue. Meeting of the Association for Computational Linguistics. 1259–1267. 13 indexed citations
14.
Iida, Ryu, Mamoru Komachi, Naoya Inoue, Kentaro Inui, & Yuji Matsumoto. (2010). Annotating Predicate-Argument Relations and Anaphoric Relations: Findings from the Building of the NAIST Text Corpus. Journal of Natural Language Processing. 17(2). 25–50. 10 indexed citations
15.
Iida, Ryu, Diana McCarthy, & Rob Koeling. (2008). Gloss-Based Semantic Similarity Metrics for Predominant Sense Acquisition. International Joint Conference on Natural Language Processing. 561–568. 4 indexed citations
16.
Tokunaga, Takenobu, et al.. (2008). Multiple Purpose Annotation using SLAT — Segment and Link-based Annotation Tool —. 11 indexed citations
17.
Kobayashi, Nozomi, Ryu Iida, Kentaro Inui, & Yūji Matsumoto. (2006). Opinion mining on the web by extracting subject-aspect-evaluation relations. National Conference on Artificial Intelligence. 86–91. 9 indexed citations
18.
Iida, Ryu, Kentaro Inui, Hiroya Takamura, & Yūji Matsumoto. (2003). Incorporating Contextual Cues in Trainable Models for Coreference Resolution. Conference of the European Chapter of the Association for Computational Linguistics. 44 indexed citations
19.
Kasai, Yuichi, Ryu Iida, & Atsumasa Uchida. (2003). Metal Concentrations in the Serum and Hair of Patients With Titanium Alloy Spinal Implants. Spine. 28(12). 1320–1326. 97 indexed citations
20.
Iida, Ryu, et al.. (2001). Kura: A Lexico-Structural Paraphrasing Engine.. 763–764. 2 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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