Kyosuke Nishida

1.7k citations
40 papers · 506 indexed · h-index 13

Kyosuke Nishida

34 papers receiving 469 citations

Peers

Kyosuke Nishida
Comparison fields: 5 of 62
  • Artificial Intelligence 347
  • Signal Processing 151
  • Computer Vision and Pattern Recognition 118
  • Information Systems 69
  • Transportation 50
Replace Arnold P. Boedihardjo with:
Arnold P. Boedihardjo United States
Yuntao Du China
Martin Mladenov Germany
Ziquan Fang China
Daichi Amagata Japan
Ling Xiao China
Zhaohui Peng China
Huajian Mao China
Hiroyuki Toda Japan
Junyang Qiu China
Kyosuke Nishida relative to Arnold P. Boedihardjo United States Arnold P. Boedihardjo's profile →
Citations per field
00.5×3.3×
Arnold P. Boedihardjo · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 2
4 41
5
Unsupervised Domain Adaptation of Language Models for Reading Comprehension
4
6
Sparse Contextual Sentence Representation for Fast Information Retrieval
1
7 2
8 24
9 1
10
Hyperspherical Query Likelihood Models with Word Embeddings
1
11
Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels
12
12
Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization
2
13 1
14 3
15 2
16 8
17 23
18 15
19
Adaptive Classifiers-Ensemble System for Changing Situations
0
20
Adaptive Classifiers-Ensemble System for Concept-Drifting Environments
2

About Kyosuke Nishida

Kyosuke Nishida is a scholar working on Artificial Intelligence, Signal Processing and Transportation, having authored 40 papers that have together received 506 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Data Stream Mining Techniques (6 papers). The work is most often cited by research in Signal Processing (151 citations), Artificial Intelligence (347 citations) and Transportation (50 citations). Kyosuke Nishida has collaborated with scholars based in Japan. Frequent co-authors include Koichiro Yamauchi, Hiroyuki Toda, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Junji Tomita, Itsumi Saito, Ko Fujimura, Ryota Tanaka and Hisako Asano. Their work appears in journals such as Language Resources and Evaluation, Social Network Analysis and Mining and Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi.

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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