Ryu Iida

1.2k citations
50 papers · 866 indexed · h-index 16

Impact in

Papers in

    • Natural Language Processing Techniques 39
    • Topic Modeling 38
    • Speech and dialogue systems 23
    • Advanced Text Analysis Techniques 6
    • Semantic Web and Ontologies 6
    • Multi-Agent Systems and Negotiation 5
    • Sentiment Analysis and Opinion Mining 3
    • Multimodal Machine Learning Applications 7

Ryu Iida

50 papers receiving 768 citations

Peers

Ryu Iida
Comparison fields: 5 of 81
  • Artificial Intelligence 730
  • Human Factors and Ergonomics 14
  • Computer Vision and Pattern Recognition 92
  • Information Systems 86
  • Human-Computer Interaction 12
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ryu Iida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryu Iida Line = papers co-authored together Ryu Iida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200397
2 200384
3 200769
4
A Cross-Lingual ILP Solution to Zero Anaphora Resolution
201152
5
Incorporating Contextual Cues in Trainable Models for Coreference Resolution
200344
6 200642
7 200934
8 201733
9 200731
10 201926
11 201626
12
Opinion Extraction Using a Learning-Based Anaphora Resolution Technique
200525
13 201625
14 201522
15 200522
16 201519
17 201115
18 200815
19
Incorporating Extra-Linguistic Information into Reference Resolution in Collaborative Task Dialogue
201013
20
A Unified Probabilistic Approach to Referring Expressions
201212

About Ryu Iida

Ryu Iida is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Experimental and Cognitive Psychology and Surgery, having authored 50 papers that have together received 866 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (39 papers), Topic Modeling (38 papers), Speech and dialogue systems (23 papers), Multimodal Machine Learning Applications (7 papers), Advanced Text Analysis Techniques (6 papers), Semantic Web and Ontologies (6 papers), Multi-Agent Systems and Negotiation (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Artificial Intelligence (730 citations), Human Factors and Ergonomics (14 citations), Computer Vision and Pattern Recognition (92 citations), Information Systems (86 citations) and Human-Computer Interaction (12 citations). Ryu Iida has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kentaro Inui, Yūji Matsumoto, Takenobu Tokunaga, Yuichi Kasai, Atsumasa Uchida, Kentaro Torisawa, Jong–Hoon Oh, Julien Kloetzer, Massimo Poesio and Mamoru Komachi. Their work appears in journals such as Language Resources and Evaluation, Spine, ACM Transactions on Asian Language Information Processing, Studies in health technology and informatics and Tokyo Tech Research Repository (Tokyo Institute of Technology).

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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