Keisuke Imoto

875 total citations
47 papers, 395 citations indexed

About

Keisuke Imoto is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Keisuke Imoto has authored 47 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Signal Processing, 27 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Keisuke Imoto's work include Music and Audio Processing (45 papers), Speech and Audio Processing (41 papers) and Music Technology and Sound Studies (24 papers). Keisuke Imoto is often cited by papers focused on Music and Audio Processing (45 papers), Speech and Audio Processing (41 papers) and Music Technology and Sound Studies (24 papers). Keisuke Imoto collaborates with scholars based in Japan, United States and Germany. Keisuke Imoto's co-authors include Hisashi Uematsu, Nobutaka Ono, Yuma Koizumi, Noboru Harada, Shoichiro Saito, Suehiro Shimauchi, Yoichi Yamashita, Masahiro Yasuda, Yasunori Ohishi and Yuki Okamoto and has published in prestigious journals such as IEEE Signal Processing Letters, Applied Acoustics and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Keisuke Imoto

40 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keisuke Imoto Japan 10 332 151 142 45 25 47 395
Thi Ngoc Tho Nguyen Singapore 8 208 0.6× 42 0.3× 56 0.4× 8 0.2× 6 0.2× 18 248
Liming Shi China 11 288 0.9× 32 0.2× 47 0.3× 7 0.2× 28 1.1× 34 372
Hae-Yong Yang South Korea 9 58 0.2× 89 0.6× 47 0.3× 13 0.3× 9 0.4× 15 278
Joerg Schmalenstroeer Germany 12 311 0.9× 34 0.2× 123 0.9× 4 0.1× 7 0.3× 36 420
Davide Salvi Italy 9 105 0.3× 158 1.0× 104 0.7× 5 0.2× 29 271
Gaofeng Cheng China 12 411 1.2× 37 0.2× 592 4.2× 2 0.0× 19 0.8× 44 668
Osamu Hoshuyama Japan 7 466 1.4× 21 0.1× 44 0.3× 2 0.0× 20 0.8× 24 509
Bertrand David France 9 291 0.9× 165 1.1× 59 0.4× 14 0.6× 18 390
Dongsuk Yook South Korea 10 221 0.7× 53 0.4× 144 1.0× 2 0.0× 2 0.1× 31 298
Cristian Canton-­Ferrer Spain 11 98 0.3× 274 1.8× 87 0.6× 34 1.4× 23 375

Countries citing papers authored by Keisuke Imoto

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Imoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Imoto

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Imoto. A scholar is included among the top collaborators of Keisuke Imoto 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 Keisuke Imoto. Keisuke Imoto 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.
2.
Takeuchi, Daiki, et al.. (2024). Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval. 71–75. 1 indexed citations
3.
Bando, Yoshiaki, et al.. (2024). Onset-and-Offset-Aware Sound Event Detection via Differentiable Frame-to-Event Mapping. IEEE Signal Processing Letters. 32. 186–190.
4.
5.
Ohta, Takao, Yoshiaki Bando, Keisuke Imoto, & Masaki Onishi. (2024). A Sequential Audio Spectrogram Transformer for Real-Time Sound Event Detection. 101–105.
6.
Lee, Jun‐Won, Mathieu Lagrange, Keunwoo Choi, et al.. (2024). Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent. 56–60. 5 indexed citations
7.
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Okamoto, Yuki, et al.. (2023). CAPTDURE: Captioned Sound Dataset of Single Sources. 1683–1687. 1 indexed citations
9.
Imoto, Keisuke, et al.. (2023). Sound event triage: detecting sound events considering priority of classes. EURASIP Journal on Audio Speech and Music Processing. 2023(1). 1 indexed citations
10.
Imoto, Keisuke, et al.. (2023). Joint analysis of acoustic scenes and sound events based on multitask learning with dynamic weight adaptation. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 44(3). 167–175. 4 indexed citations
11.
Kinoshita, Yuma, et al.. (2022). Missing data recovery using autoencoder for multi-channel acoustic scene classification. 2022 30th European Signal Processing Conference (EUSIPCO). 767–771. 1 indexed citations
12.
Okamoto, Yuki, et al.. (2022). Onoma-to-wave: Environmental Sound Synthesis from Onomatopoeic Words. APSIPA Transactions on Signal and Information Processing. 11(1). 1–20. 7 indexed citations
13.
Komatsu, Tatsuya, Keisuke Imoto, & Masahito Togami. (2020). Scene-Dependent Acoustic Event Detection with Scene Conditioning and Fake-Scene-Conditioned Loss. 646–650. 9 indexed citations
14.
Koizumi, Yuma, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, & Keisuke Imoto. (2019). ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection. 313–317. 110 indexed citations
15.
Imoto, Keisuke, et al.. (2019). Sound Event Detection Using Graph Laplacian Regularization Based on Event Co-occurrence. 1–5. 10 indexed citations
16.
Imoto, Keisuke. (2018). Introduction to acoustic event and scene analysis. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 39(3). 182–188. 31 indexed citations
17.
Imoto, Keisuke & Nobutaka Ono. (2017). Spatial Cepstrum as a Spatial Feature Using a Distributed Microphone Array for Acoustic Scene Analysis. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(6). 1335–1343. 23 indexed citations
18.
Imoto, Keisuke & Nobutaka Ono. (2016). Online acoustic scene analysis based on nonparametric Bayesian model. 23. 988–992.
19.
Imoto, Keisuke & Suehiro Shimauchi. (2016). Acoustic Scene Analysis Based on Hierarchical Generative Model of Acoustic Event Sequence. IEICE Transactions on Information and Systems. E99.D(10). 2539–2549. 22 indexed citations
20.

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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