Kyosuke Nishida

1.7k total citations
40 papers, 506 citations indexed

About

Kyosuke Nishida is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kyosuke Nishida has authored 40 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Kyosuke Nishida's work include Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Data Stream Mining Techniques (6 papers). Kyosuke Nishida is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Data Stream Mining Techniques (6 papers). Kyosuke Nishida collaborates with scholars based in Japan. Kyosuke Nishida's co-authors include Koichiro Yamauchi, Hiroyuki Toda, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Junji Tomita, Itsumi Saito, Ko Fujimura, Ryota Tanaka and Hisako Asano and has published in prestigious journals such as Language Resources and Evaluation, Social Network Analysis and Mining and Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi.

In The Last Decade

Kyosuke Nishida

34 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyosuke Nishida Japan 13 347 151 118 69 50 40 506
Arnold P. Boedihardjo United States 11 213 0.6× 167 1.1× 70 0.6× 49 0.7× 30 0.6× 46 377
Ling Xiao China 7 107 0.3× 83 0.5× 151 1.3× 40 0.6× 68 1.4× 19 327
Yuntao Du China 8 165 0.5× 72 0.5× 54 0.5× 138 2.0× 44 0.9× 16 283
Martin Mladenov Germany 11 158 0.5× 49 0.3× 95 0.8× 42 0.6× 36 0.7× 32 332
Ziquan Fang China 10 152 0.4× 151 1.0× 52 0.4× 118 1.7× 77 1.5× 25 332
Hiroyuki Toda Japan 10 133 0.4× 55 0.4× 51 0.4× 94 1.4× 104 2.1× 43 351
Daichi Amagata Japan 12 163 0.5× 160 1.1× 68 0.6× 119 1.7× 36 0.7× 55 372
Vit Niennattrakul Thailand 10 223 0.6× 323 2.1× 71 0.6× 42 0.6× 7 0.1× 15 480
Bingbing Xu China 8 197 0.6× 27 0.2× 65 0.6× 49 0.7× 28 0.6× 18 303

Countries citing papers authored by Kyosuke Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Kyosuke Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyosuke Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Kyosuke Nishida. A scholar is included among the top collaborators of Kyosuke Nishida 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 Kyosuke Nishida. Kyosuke Nishida 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.
Tanaka, Ryota, et al.. (2024). NTT’s LLM “tsuzumi”: Capable of Comprehending Graphical Documents. NTT technical review. 22(8). 26–30.
2.
3.
Nishida, Kyosuke, et al.. (2021). Task-adaptive Pre-training of Language Models with Word Embedding Regularization. 4546–4553. 2 indexed citations
4.
Tanaka, Ryota, et al.. (2021). VisualMRC: Machine Reading Comprehension on Document Images. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13878–13888. 41 indexed citations
5.
Nishida, Kyosuke, et al.. (2020). Unsupervised Domain Adaptation of Language Models for Reading Comprehension. Language Resources and Evaluation. 5392–5399. 4 indexed citations
6.
Nishida, Kyosuke, et al.. (2020). Sparse Contextual Sentence Representation for Fast Information Retrieval. 1 indexed citations
7.
Nishida, Kyosuke, et al.. (2019). Toward Natural Language Understanding by Machine Reading Comprehension. NTT technical review. 17(9). 9–14. 2 indexed citations
8.
9.
Nishida, Kyosuke, et al.. (2018). Natural Language Inference with Definition Embedding Considering Context On the Fly. 58–63. 1 indexed citations
10.
Masumura, Ryo, et al.. (2017). Hyperspherical Query Likelihood Models with Word Embeddings. International Joint Conference on Natural Language Processing. 2. 210–216. 1 indexed citations
11.
Saito, Itsumi, Jun Suzuki, Kyosuke Nishida, et al.. (2017). Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. International Joint Conference on Natural Language Processing. 2. 257–262. 12 indexed citations
12.
Saito, Itsumi, et al.. (2017). Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization. International Joint Conference on Natural Language Processing. 1. 937–946. 2 indexed citations
13.
Asano, Hisako, et al.. (2017). Natural Language Processing Technology for Agent Services. NTT technical review. 15(8). 18–22. 1 indexed citations
14.
Nishida, Kyosuke, et al.. (2017). Social media knows what road it is: quantifying road characteristics with geo-tagged posts. Social Network Analysis and Mining. 7(1). 3 indexed citations
15.
Nishida, Kyosuke, et al.. (2016). How fashionable is each street?: quantifying road characteristics using social media. 429–436. 2 indexed citations
16.
17.
Nishida, Kyosuke, Hiroyuki Toda, Takeshi Kurashima, & Yoshihiko Suhara. (2014). Probabilistic identification of visited point-of-interest for personalized automatic check-in. 631–642. 23 indexed citations
18.
Nishida, Kyosuke & Koichiro Yamauchi. (2009). Learning, detecting, understanding, and predicting concept changes. 8. 2280–2287. 15 indexed citations
19.
Nishida, Kyosuke & Koichiro Yamauchi. (2007). Adaptive Classifiers-Ensemble System for Changing Situations. IEICE Technical Report; IEICE Tech. Rep.. 106(606). 103–108.
20.
Nishida, Kyosuke, Koichiro Yamauchi, & Takashi Omori. (2006). Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. IEICE Technical Report; IEICE Tech. Rep.. 105(544). 1–6. 2 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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