Yu Suzuki

428 total citations
32 papers, 214 citations indexed

About

Yu Suzuki is a scholar working on Artificial Intelligence, Communication and Information Systems. According to data from OpenAlex, Yu Suzuki has authored 32 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Communication and 10 papers in Information Systems. Recurrent topics in Yu Suzuki's work include Wikis in Education and Collaboration (11 papers), Topic Modeling (5 papers) and Complex Network Analysis Techniques (5 papers). Yu Suzuki is often cited by papers focused on Wikis in Education and Collaboration (11 papers), Topic Modeling (5 papers) and Complex Network Analysis Techniques (5 papers). Yu Suzuki collaborates with scholars based in Japan. Yu Suzuki's co-authors include Kyoji Kawagoe, Masatoshi Yoshikawa, Satoshi Nakamura, Akiyo Nadamoto, Koichiro Yoshino, Yoshitaka Matsuda, Yoko Ishikawa, Satoshi Nakamura, Sakriani Sakti and Masahiro Mizukami and has published in prestigious journals such as Language Resources and Evaluation, IEICE Transactions on Information and Systems and Transactions of the Japanese Society for Artificial Intelligence.

In The Last Decade

Yu Suzuki

30 papers receiving 211 citations

Peers

Yu Suzuki

AI

SP

COMMU

IS

EE

Alejandro Figueroa Chile

Xiaozhen Xue United States

Xinyi Li China

Hiroaki Ohshima Japan

Emily Stark United States

Aurora Pons-Porrata Cuba

Benjamin Sznajder Israel

Leonard K. M. Poon Hong Kong

Abdelkader El Mahdaouy Morocco

Fumiyo Fukumoto Japan

Alejandro Figueroa Chile

Yu Suzuki

313 ×3.1

AI

11 ×0.1

SP

34 ×0.6

COMMU

235 ×5.0

IS

6 ×0.2

EE

Citations per year, relative to Yu Suzuki Yu Suzuki (= 1×) peers Alejandro Figueroa

Countries citing papers authored by Yu Suzuki

Since Specialization

Citations

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

Fields of papers citing papers by Yu Suzuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Suzuki

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Suzuki, Yu, et al.. (2022). Methods of Calculating Usefulness Ratings of Behavioral Facilitation Tweets in Disaster Situations. 2 indexed citations

2.

Suzuki, Yu, et al.. (2021). A Fact-checking Assistant System for Textual Documents. 3 indexed citations

3.

Suzuki, Yu, et al.. (2019). Detection of Behavioral Facilitation information in Disaster Situation. 255–259. 2 indexed citations

4.

Suzuki, Yu, Yoshitaka Matsuda, & Satoshi Nakamura. (2019). Additional Operations of Simple HITs on Microtask Crowdsourcing for Worker Quality Prediction. Journal of Information Processing. 27(0). 51–60. 3 indexed citations

5.

Suzuki, Yu, et al.. (2019). A Behavioral Facilitation Tweet Detection Method. 1–4. 2 indexed citations

6.

Suzuki, Yu. (2019). Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learning. Journal of Information Processing. 27(0). 404–410. 7 indexed citations

7.

Yoshino, Koichiro, Yoko Ishikawa, Masahiro Mizukami, et al.. (2018). Dialogue Scenario Collection of Persuasive Dialogue with Emotional Expressions via Crowdsourcing. Language Resources and Evaluation. 5 indexed citations

8.

Tanaka, Hiroki, et al.. (2018). R-STEINER: Generation Method of 5'UTR for Increasing the Amount of Translated Proteins. 11(0). 14–23. 2 indexed citations

9.

Suzuki, Yu, et al.. (2018). Semantically Readable Distributed Representation Learning and Its Expandability Using a Word Semantic Vector Dictionary. IEICE Transactions on Information and Systems. E101.D(4). 1066–1078. 1 indexed citations

10.

Matsuda, Yoshitaka, Yu Suzuki, & Satoshi Nakamura. (2017). A trade-off between estimation accuracy of worker quality and task complexity. 4410–4416. 2 indexed citations

11.

Yoshino, Koichiro, Yu Suzuki, & Satoshi Nakamura. (2017). Information Navigation System with Discovering User Interests. 356–359. 2 indexed citations

12.

Suzuki, Yu & Satoshi Nakamura. (2016). Assessing the Quality of Wikipedia Editors through Crowdsourcing. 1001–1006. 6 indexed citations

13.

Suzuki, Yu & Masatoshi Yoshikawa. (2013). Assessing quality score of Wikipedia article using mutual evaluation of editors and texts. 1727–1732. 8 indexed citations

14.

Suzuki, Yu. (2013). Effects of Implicit Positive Ratings for Quality Assessment of Wikipedia Articles. Journal of Information Processing. 21(2). 342–348. 4 indexed citations

15.

Suzuki, Yu & Masatoshi Yoshikawa. (2012). Mutual evaluation of editors and texts for assessing quality of Wikipedia articles. 1–10. 13 indexed citations

16.

Nadamoto, Akiyo, et al.. (2011). Gist of a Thread in Social Network Services Based on Credibility of Wikipedia. 2002. 1–10.

17.

Suzuki, Yu & Akiyo Nadamoto. (2011). Credibility Assessment Using Wikipedia for Messages on Social Network Services. 887–894. 3 indexed citations

18.

Iwaki, Sunao, et al.. (2009). 1A1-J11 A study for noneontact object manipulation by multiple air jets : 1st report: concept. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2009(0). _1A1–J11_1. 2 indexed citations

19.

Suzuki, Yu, et al.. (2006). New Time Series Data Representation ESAX for Financial Applications. x115–x115. 61 indexed citations

20.

Duan, Guifang, Yu Suzuki, & Kyoji Kawagoe. (2006). Grid Representation for Efficient Similarity Search in Time Series Databases. 16. x123–x123. 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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