Yohei Murakami

1.9k total citations
127 papers, 1.1k citations indexed

About

Yohei Murakami is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Yohei Murakami has authored 127 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 48 papers in Information Systems and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Yohei Murakami's work include Service-Oriented Architecture and Web Services (35 papers), Natural Language Processing Techniques (20 papers) and Topic Modeling (14 papers). Yohei Murakami is often cited by papers focused on Service-Oriented Architecture and Web Services (35 papers), Natural Language Processing Techniques (20 papers) and Topic Modeling (14 papers). Yohei Murakami collaborates with scholars based in Japan, Indonesia and United States. Yohei Murakami's co-authors include Toru Ishida, Kazuki Tsuji, Yasunori Mitani, Toshifumi Ise, Masahiro Tanaka, Donghui Lin, Masanori Hangyo, Masayoshi Tonouchi, K. Sakai and Kemas Muslim Lhaksmana and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and IEEE Transactions on Power Systems.

In The Last Decade

Yohei Murakami

112 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohei Murakami Japan 15 480 273 222 201 153 127 1.1k
Weidong Zhang China 22 1.2k 2.4× 74 0.3× 215 1.0× 68 0.3× 105 0.7× 171 1.7k
P.S. Excell United Kingdom 25 1.6k 3.3× 54 0.2× 116 0.5× 211 1.0× 294 1.9× 217 2.5k
Junchao Ma China 25 737 1.5× 47 0.2× 186 0.8× 207 1.0× 512 3.3× 67 1.8k
Mihai Rotaru Singapore 17 609 1.3× 162 0.6× 355 1.6× 56 0.3× 21 0.1× 127 1.2k
Donald E. Thomas United States 32 1.3k 2.8× 121 0.4× 227 1.0× 46 0.2× 870 5.7× 165 3.1k
Wenbin Yu China 19 321 0.7× 165 0.6× 97 0.4× 37 0.2× 220 1.4× 94 1.0k
Xing Wu China 19 328 0.7× 78 0.3× 446 2.0× 150 0.7× 135 0.9× 126 1.5k
Michael Katz Israel 19 352 0.7× 25 0.1× 683 3.1× 54 0.3× 416 2.7× 82 1.2k
Robert Spence United States 14 333 0.7× 107 0.4× 85 0.4× 27 0.1× 45 0.3× 32 877
Dandan Li China 19 415 0.9× 53 0.2× 342 1.5× 113 0.6× 116 0.8× 94 1.1k

Countries citing papers authored by Yohei Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Murakami

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Murakami. A scholar is included among the top collaborators of Yohei Murakami 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 Yohei Murakami. Yohei Murakami 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.
Onan, Aytuğ, et al.. (2025). Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models. International Journal of Advanced Computer Science and Applications. 16(2). 3 indexed citations
2.
Murakami, Yohei, et al.. (2024). Taboo Talks: Enhancing ESL Speaking Skills through Language Model Integration in Interactive Games. Procedia Computer Science. 246. 3674–3683. 1 indexed citations
4.
Fujii, Masashi, Yohei Murakami, Masanori Koyama, et al.. (2019). Logical design of oral glucose ingestion pattern minimizing blood glucose in humans. npj Systems Biology and Applications. 5(1). 31–31. 7 indexed citations
5.
Lin, Donghui, Yohei Murakami, & Toru Ishida. (2018). A Framework for Multi-Language Service Design with the Language Grid. Language Resources and Evaluation. 3276–3281. 1 indexed citations
6.
Murakami, Yohei, et al.. (2018). Designing a collaborative process to create bilingual dictionaries of Indonesian ethnic languages. Language Resources and Evaluation. 3397–3404. 8 indexed citations
7.
Murakami, Yohei, Donghui Lin, Nancy Ide, & James Pustejovsky. (2016). Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies (WLSI/OIAF4HLT2016).. International Conference on Computational Linguistics. 2 indexed citations
8.
Murakami, Yohei, et al.. (2016). Constraint-Based Bilingual Lexicon Induction for Closely Related Languages. Language Resources and Evaluation. 3291–3298. 10 indexed citations
9.
Murakami, Yohei, et al.. (2014). Integration of Workflow and Pipeline for Language Service Composition. Language Resources and Evaluation. 3829–3836. 2 indexed citations
10.
Murakami, Yohei, et al.. (2013). Interoperability between Service Composition and Processing Pipeline: Case Study on the Language Grid and UIMA. International Joint Conference on Natural Language Processing. 1052–1056. 1 indexed citations
11.
Murakami, Yohei, et al.. (2011). Supporting Wikipedia Translations based on Protocol Analysis. IEICE Technical Report; IEICE Tech. Rep.. 110(428). 63–68. 1 indexed citations
12.
Lin, Donghui, et al.. (2010). Composing Human and Machine Translation Services: Language Grid for Improving Localization Processes.. Language Resources and Evaluation. 500–506. 11 indexed citations
13.
Murakami, Yohei, et al.. (2010). Language Service Management with the Language Grid. Language Resources and Evaluation. 3526–3531. 4 indexed citations
14.
Tanaka, Rie, Yohei Murakami, & Toru Ishida. (2009). Context-based approach for pivot translation services. International Joint Conference on Artificial Intelligence. 1555–1561. 13 indexed citations
15.
Hattori, Hiromitsu, Takahiro Kawamura, Tsuyoshi Idé, Makoto Yokoo, & Yohei Murakami. (2009). New Frontiers in Artificial Intelligence: JSAI 2008 Conference and Workshops, Asahikawa, Japan, June 11-13, 2008, Revised Selected Papers. Springer eBooks.
16.
Murakami, Yohei. (2008). Participatory Simulation for Designing Evacuation Protocols. 1 indexed citations
17.
Ishida, Toru, et al.. (2007). Augmented experiment: participatory design with multiagent simulation. International Joint Conference on Artificial Intelligence. 1341–1346. 22 indexed citations
18.
Murakami, Yohei, Yuki Sugimoto, & Toru Ishida. (2005). Modeling human behavior for virtual training systems. National Conference on Artificial Intelligence. 127–132. 28 indexed citations
19.
Murakami, Yohei, et al.. (2002). Evacuation Simulation by using Multi-agent System. 97–97.
20.
Ise, Toshifumi, H. Ishida, & Yohei Murakami. (1997). GTO (Gate Turn-Off thyristor) device model for detailed circuit simulation. 47(226782). 29–37. 1 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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