Hiroshi Noji

506 total citations
23 papers, 214 citations indexed

About

Hiroshi Noji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Hiroshi Noji has authored 23 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Hiroshi Noji's work include Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers) and Speech and dialogue systems (6 papers). Hiroshi Noji is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers) and Speech and dialogue systems (6 papers). Hiroshi Noji collaborates with scholars based in Japan, United States and Vietnam. Hiroshi Noji's co-authors include Yusuke Miyao, Yūji Matsumoto, Jun’ichi Tsujii, Pierre Zweigenbaum, Olivier Ferret, Thomas Lavergne, Yohei Oseki, Mark Johnson, Hiroya Takamura and Ichiro Kobayashi and has published in prestigious journals such as Computer Speech & Language, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and International Conference on Computational Linguistics.

In The Last Decade

Hiroshi Noji

22 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Noji Japan 8 199 37 22 17 6 23 214
Tobias Falke Germany 7 224 1.1× 30 0.8× 22 1.0× 16 0.9× 4 0.7× 16 249
Sho Takase Japan 10 286 1.4× 52 1.4× 29 1.3× 12 0.7× 6 1.0× 31 316
Kalpesh Krishna United States 8 155 0.8× 24 0.6× 22 1.0× 11 0.6× 10 1.7× 17 200
Alexey Sorokin Russia 6 160 0.8× 17 0.5× 20 0.9× 13 0.8× 4 0.7× 17 184
Jan Buys United Kingdom 6 243 1.2× 75 2.0× 26 1.2× 12 0.7× 8 1.3× 19 265
David Burkett United States 8 298 1.5× 25 0.7× 31 1.4× 18 1.1× 4 0.7× 13 311
Qinghong Han China 4 152 0.8× 24 0.6× 17 0.8× 9 0.5× 4 0.7× 4 171
Qingyu Yin United States 11 218 1.1× 49 1.3× 41 1.9× 11 0.6× 3 0.5× 30 239
Weiguang Qu China 8 209 1.1× 21 0.6× 43 2.0× 9 0.5× 8 1.3× 36 227

Countries citing papers authored by Hiroshi Noji

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Noji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Noji

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Noji. A scholar is included among the top collaborators of Hiroshi Noji 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 Hiroshi Noji. Hiroshi Noji 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.
Topić, Goran, et al.. (2021). Generating Racing Game Commentary from Vision, Language, and Structured Data. 8 indexed citations
2.
Noji, Hiroshi, et al.. (2021). Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2964–2973. 4 indexed citations
3.
Noji, Hiroshi & Yohei Oseki. (2021). Effective Batching for Recurrent Neural Network Grammars. 4340–4352. 7 indexed citations
4.
5.
Noji, Hiroshi, Eiji Aramaki, Ichiro Kobayashi, et al.. (2020). Learning to Select, Track, and Generate for Data-to-Text. Journal of Natural Language Processing. 27(3). 599–626. 4 indexed citations
6.
7.
Noji, Hiroshi, et al.. (2020). Learning with Contrastive Examples for Data-to-Text Generation. 2352–2362. 9 indexed citations
8.
Noji, Hiroshi, et al.. (2019). A* CCG Parsing with a Supertag and Dependency Factored Model. Journal of Natural Language Processing. 26(1). 83–119. 1 indexed citations
9.
Mineshima, Koji, et al.. (2019). Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7410–7417. 7 indexed citations
10.
Miyazawa, Akira, Tatsuya Aoki, Hiroshi Noji, et al.. (2019). Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels. 323–332. 3 indexed citations
11.
Noji, Hiroshi, et al.. (2018). Dynamic Feature Selection with Attention in Incremental Parsing. International Conference on Computational Linguistics. 785–794. 1 indexed citations
12.
Noji, Hiroshi, et al.. (2017). Adversarial Training for Cross-Domain Universal Dependency Parsing. 19 indexed citations
13.
Noji, Hiroshi, et al.. (2017). A* CCG Parsing with a Supertag and Dependency Factored Model. 277–287. 26 indexed citations
14.
15.
Noji, Hiroshi & Yusuke Miyao. (2016). Jigg: A Framework for an Easy Natural Language Processing Pipeline. 103–108. 8 indexed citations
16.
Noji, Hiroshi, Yusuke Miyao, & Mark Johnson. (2016). Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction. 33–43. 16 indexed citations
17.
Noji, Hiroshi & Yusuke Miyao. (2015). Left-corner Parsing for Dependency Grammar. Journal of Natural Language Processing. 22(4). 251–288. 3 indexed citations
18.
Noji, Hiroshi, et al.. (2015). Optimal Shift-Reduce Constituent Parsing with Structured Perceptron. 1534–1544. 7 indexed citations
19.
Noji, Hiroshi & Yusuke Miyao. (2014). Left-corner Transitions on Dependency Parsing. International Conference on Computational Linguistics. 2140–2150. 4 indexed citations
20.
Noji, Hiroshi, Daichi Mochihashi, & Yusuke Miyao. (2013). Improvements to the Bayesian Topic N-Gram Models. 1180–1190. 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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