Yusuke Ijima

726 citations
60 papers · 516 · h-index 11

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

    • Speech and Audio Processing 32
    • Music and Audio Processing 16
    • Speech Recognition and Synthesis 45
    • Natural Language Processing Techniques 19
    • Speech and dialogue systems 12
    • Topic Modeling 7

Yusuke Ijima

55 papers receiving 482 citations

Peers

Yusuke Ijima
Comparison fields: 5 of 54
  • Signal Processing 327
  • Artificial Intelligence 439
  • Experimental and Cognitive Psychology 78
  • Computational Mathematics 3
  • Computer Vision and Pattern Recognition 35
Replace Javier Latorre with:
Javier Latorre United Kingdom
Yushi Aono Japan
Da-Rong Liu Taiwan
Tomoki Koriyama Japan
Yishay Carmiel United States
Bajibabu Bollepalli Finland
Shuyan Dong China
Harald Höge Germany
Ranniery Maia Japan
Xinjian Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Yusuke Ijima

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Ijima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yusuke Ijima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yusuke Ijima Line = papers co-authored together Yusuke Ijima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 201889
3 201834
4 201629
5 201829
6 201723
7 201118
8 201816
9 201313
10 202013
11 202111
12 202310
13 20219
14 20209
15 20099
16 20198
17 20217
18 20237
19 20167
20 20237

About Yusuke Ijima

Yusuke Ijima is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Computational Mathematics and Marketing, having authored 60 papers that have together received 516 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (45 papers), Speech and Audio Processing (32 papers), Natural Language Processing Techniques (19 papers), Music and Audio Processing (16 papers), Speech and dialogue systems (12 papers), Topic Modeling (7 papers), Emotion and Mood Recognition (3 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Signal Processing (327 citations), Artificial Intelligence (439 citations), Experimental and Cognitive Psychology (78 citations), Computational Mathematics (3 citations) and Computer Vision and Pattern Recognition (35 citations). Yusuke Ijima has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Nobukatsu Hojo, Shinnosuke Takamichi, Yuki Saito, Kyosuke Nishida, Hirokazu Kameoka, Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino, Ryo Masumura and Atsushi Ando. Their work appears in journals such as Speech Communication, Language Resources and Evaluation, Frontiers in Psychology, Road Materials and Pavement Design and NTT technical review.

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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