Jun’ichi Kazama

1.7k total citations
46 papers, 1.2k citations indexed

About

Jun’ichi Kazama is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Jun’ichi Kazama has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Communication. Recurrent topics in Jun’ichi Kazama's work include Topic Modeling (42 papers), Natural Language Processing Techniques (38 papers) and Advanced Text Analysis Techniques (8 papers). Jun’ichi Kazama is often cited by papers focused on Topic Modeling (42 papers), Natural Language Processing Techniques (38 papers) and Advanced Text Analysis Techniques (8 papers). Jun’ichi Kazama collaborates with scholars based in Japan, Singapore and China. Jun’ichi Kazama's co-authors include Kentaro Torisawa, Jun’ichi Tsujii, Yoshihiro Ohta, Takaki Makino, Stijn De Saeger, Kiyotaka Uchimoto, Wenliang Chen, Yiou Wang, Chikara Hashimoto and Yoshimasa Tsuruoka and has published in prestigious journals such as Machine Learning, IEEE Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Jun’ichi Kazama

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun’ichi Kazama Japan	18	1.1k	259	135	122	74	46	1.2k
Daniel M. Bikel United States	11	1.5k 1.4×	170 0.7×	245 1.8×	94 0.8×	15 0.2×	20	1.6k
Radu Florian United States	21	1.6k 1.5×	88 0.3×	245 1.8×	179 1.5×	22 0.3×	72	1.7k
Andras Csomai United States	7	664 0.6×	69 0.3×	208 1.5×	45 0.4×	142 1.9×	10	748
Claire Bonial United States	13	1.0k 1.0×	98 0.4×	74 0.5×	126 1.0×	14 0.2×	47	1.1k
Timothy Chklovski United States	14	778 0.7×	63 0.2×	87 0.6×	48 0.4×	26 0.4×	20	845
Alan Akbik Germany	10	1.0k 0.9×	120 0.5×	143 1.1×	79 0.6×	13 0.2×	38	1.1k
Kira Griffitt United States	7	1.0k 0.9×	93 0.4×	98 0.7×	113 0.9×	11 0.1×	13	1.0k
Andrés García-Silva Spain	6	586 0.5×	78 0.3×	224 1.7×	47 0.4×	42 0.6×	20	682
Joel Nothman Australia	12	893 0.8×	63 0.2×	123 0.9×	96 0.8×	82 1.1×	30	969
Claudio Giuliano Italy	14	563 0.5×	204 0.8×	98 0.7×	21 0.2×	20 0.3×	38	643

Countries citing papers authored by Jun’ichi Kazama

Since Specialization

Citations

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

Fields of papers citing papers by Jun’ichi Kazama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun’ichi Kazama. 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 Jun’ichi Kazama. The network helps show where Jun’ichi Kazama may publish in the future.

Co-authorship network of co-authors of Jun’ichi Kazama

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

All Works

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20 of 20 papers shown

Hashimoto, Chikara, et al.. (2013). Minimally Supervised Method for Multilingual Paraphrase Extraction from Definition Sentences on the Web. North American Chapter of the Association for Computational Linguistics. 63–73. 8 indexed citations

Hashimoto, Chikara, Kentaro Torisawa, Stijn De Saeger, Jong–Hoon Oh, & Jun’ichi Kazama. (2012). Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web. Empirical Methods in Natural Language Processing. 619–630. 42 indexed citations

Wang, Yiou, et al.. (2012). Chinese Evaluative Information Analysis. International Conference on Computational Linguistics. 2773–2788. 1 indexed citations

Yamada, Ichiro, et al.. (2012). Generating Information-Rich Taxonomy Using Wikipedia. Journal of Natural Language Processing. 19(1). 3–23. 1 indexed citations

Varga, István, Kiyonori Ohtake, Kentaro Torisawa, et al.. (2011). Similarity Based Language Model Construction for Voice Activated Open-Domain Question Answering. International Joint Conference on Natural Language Processing. 536–544. 5 indexed citations

Yamada, Ichiro, Jong–Hoon Oh, Chikara Hashimoto, et al.. (2011). Extending WordNet with Hypernyms and Siblings Acquired from Wikipedia. International Joint Conference on Natural Language Processing. 874–882. 7 indexed citations

Hashimoto, Chikara, Kentaro Torisawa, Stijn De Saeger, Jun’ichi Kazama, & Sadao Kurohashi. (2011). Extracting Paraphrases from Definition Sentences on the Web. Meeting of the Association for Computational Linguistics. 1087–1097. 24 indexed citations

Saeger, Stijn De, Kentaro Torisawa, Jun’ichi Kazama, et al.. (2011). Relation Acquisition using Word Classes and Partial Patterns. Empirical Methods in Natural Language Processing. 825–835. 11 indexed citations

Wang, Yiou, Jun’ichi Kazama, Yoshimasa Tsuruoka, et al.. (2011). Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data. International Joint Conference on Natural Language Processing. 309–317. 55 indexed citations

10.

Chen, Wenliang, Jun’ichi Kazama, Min Zhang, et al.. (2011). SMT Helps Bitext Dependency Parsing. Empirical Methods in Natural Language Processing. 73–83. 7 indexed citations

11.

Tsuruoka, Yoshimasa, Yusuke Miyao, & Jun’ichi Kazama. (2011). Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?. 238–246. 32 indexed citations

12.

Chen, Wenliang, Jun’ichi Kazama, Yoshimasa Tsuruoka, & Kentaro Torisawa. (2010). Improving Graph-based Dependency Parsing with Decision History. International Conference on Computational Linguistics. 126–134. 3 indexed citations

13.

Chen, Wenliang, Jun’ichi Kazama, & Kentaro Torisawa. (2010). Bitext Dependency Parsing with Bilingual Subtree Constraints. Meeting of the Association for Computational Linguistics. 21–29. 14 indexed citations

14.

Murata, Masaki, et al.. (2010). Using Various Features in Machine Learning to Obtain High Levels of Performance for Recognition of Japanese Notational Variants. Pacific Asia Conference on Language, Information, and Computation. 653–660. 1 indexed citations

15.

Kazama, Jun’ichi, et al.. (2010). A Bayesian Method for Robust Estimation of Distributional Similarities. Meeting of the Association for Computational Linguistics. 247–256. 21 indexed citations

16.

Wang, Yiou, Kiyotaka Uchimoto, Jun’ichi Kazama, Canasai Kruengkrai, & Kentaro Torisawa. (2010). Adapting Chinese Word Segmentation for Machine Translation Based on Short Units.. Language Resources and Evaluation. 5 indexed citations

17.

Yamada, Ichiro, Chikara Hashimoto, Jong–Hoon Oh, et al.. (2010). Generating information-rich taxonomy from Wikipedia. 97–104. 4 indexed citations

18.

Kruengkrai, Canasai, Kiyotaka Uchimoto, Jun’ichi Kazama, et al.. (2009). Joint Chinese Word Segmentation and POS Tagging Using an Error-Driven Word-Character Hybrid Model. IEICE Transactions on Information and Systems. E92-D(12). 2298–2305. 4 indexed citations

19.

Kazama, Jun’ichi, et al.. (2006). Automatic Discovery of Attribute Words from Web Documents and Criteria for Human Evaluation. Journal of Natural Language Processing. 13(4). 49–67. 1 indexed citations

20.

Kazama, Jun’ichi, Yusuke Miyao, & Jun’ichi Tsujii. (2001). A Maximum Entropy Tagger with Unsupervised Hidden Markov Models.. 333–340. 17 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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