Daiki Takeuchi

626 total citations
29 papers, 306 citations indexed

About

Daiki Takeuchi is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Daiki Takeuchi has authored 29 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 11 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Daiki Takeuchi's work include Speech and Audio Processing (18 papers), Music and Audio Processing (15 papers) and Speech Recognition and Synthesis (10 papers). Daiki Takeuchi is often cited by papers focused on Speech and Audio Processing (18 papers), Music and Audio Processing (15 papers) and Speech Recognition and Synthesis (10 papers). Daiki Takeuchi collaborates with scholars based in Japan and China. Daiki Takeuchi's co-authors include Kohei Yatabe, Noboru Harada, Yuma Koizumi, Yasunori Ohishi, Marc Delcroix, Yasuhiro Oikawa, Yoshiki Masuyama, Kunio Kashino, Masahiro Yasuda and Makoto Kinoshita and has published in prestigious journals such as The Journal of the Acoustical Society of America, Optics Express and IEEE Access.

In The Last Decade

Daiki Takeuchi

26 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daiki Takeuchi Japan 10 223 136 53 39 27 29 306
Miquel Espi Japan 5 268 1.2× 158 1.2× 70 1.3× 28 0.7× 25 0.9× 13 295
Israel D. Gebru United States 9 146 0.7× 103 0.8× 28 0.5× 92 2.4× 37 1.4× 14 262
Xiaojia Zhao United States 7 358 1.6× 287 2.1× 39 0.7× 34 0.9× 24 0.9× 8 395
Sherif Abdulatif Germany 9 106 0.5× 88 0.6× 33 0.6× 62 1.6× 15 0.6× 14 254
Éric Plourde Canada 10 243 1.1× 65 0.5× 158 3.0× 25 0.6× 89 3.3× 33 301
Dongchao Yang China 9 145 0.7× 133 1.0× 15 0.3× 108 2.8× 16 0.6× 32 322
Jiří Málek Czechia 9 214 1.0× 70 0.5× 111 2.1× 33 0.8× 23 0.9× 33 260
Aswin Shanmugam Subramanian United States 11 291 1.3× 264 1.9× 42 0.8× 17 0.4× 15 0.6× 23 355
Anastasios Alexandridis Greece 10 289 1.3× 90 0.7× 52 1.0× 23 0.6× 28 1.0× 20 393
Ricardo Sánchez-Matilla United Kingdom 10 61 0.3× 89 0.7× 12 0.2× 72 1.8× 10 0.4× 14 211

Countries citing papers authored by Daiki Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Daiki Takeuchi. A scholar is included among the top collaborators of Daiki Takeuchi 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 Daiki Takeuchi. Daiki Takeuchi 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.
Takeuchi, Daiki, et al.. (2025). M2D-CLAP: Exploring General-Purpose Audio-Language Representations Beyond CLAP. IEEE Access. 13. 163313–163330. 1 indexed citations
2.
Takeuchi, Daiki, et al.. (2024). Masked Modeling Duo: Towards a Universal Audio Pre-Training Framework. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2391–2406. 9 indexed citations
3.
Takeuchi, Daiki, et al.. (2024). Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval. 71–75. 1 indexed citations
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Takeuchi, Daiki, et al.. (2024). Exploring Pre-trained General-purpose Audio Representations for Heart Murmur Detection. PubMed. 2024. 1–4. 4 indexed citations
6.
Yasumizu, Yoshiaki, Daiki Takeuchi, Yusuke Takeshima, et al.. (2024). Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases. Cell Genomics. 4(2). 100473–100473. 22 indexed citations
7.
He, Bo, et al.. (2024). Light Gated Multi Mini-Patch Extractor for Audio Classification. 765–769. 1 indexed citations
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Ishikawa, Kenji, Daiki Takeuchi, Noboru Harada, & Takehiro Moriya. (2023). Deep sound-field denoiser: optically-measured sound-field denoising using deep neural network. Optics Express. 31(20). 33405–33405. 2 indexed citations
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Takeuchi, Daiki, et al.. (2022). BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 137–151. 31 indexed citations
14.
Ohishi, Yasunori, Marc Delcroix, Tsubasa Ochiai, et al.. (2022). ConceptBeam. Proceedings of the 30th ACM International Conference on Multimedia. 4252–4260. 12 indexed citations
15.
Takeuchi, Daiki, et al.. (2022). Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model. 2022 30th European Signal Processing Conference (EUSIPCO). 200–204. 8 indexed citations
16.
Takeuchi, Daiki, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, & Noboru Harada. (2020). Real-Time Speech Enhancement Using Equilibriated RNN. 851–855. 33 indexed citations
17.
Koizumi, Yuma, Kohei Yatabe, Marc Delcroix, Yoshiki Masuyama, & Daiki Takeuchi. (2020). Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention. 181–185. 86 indexed citations
18.
Takeuchi, Daiki, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, & Noboru Harada. (2020). Effect of spectrogram resolution on deep-neural-network-based speech enhancement. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 41(5). 769–775. 6 indexed citations
19.
Kobayashi, Kenji, et al.. (2018). Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction. 2. 626–630. 4 indexed citations
20.
Takeuchi, Daiki, et al.. (2015). Public opinion formation with the spiral of silence on complex social networks. Nonlinear Theory and Its Applications IEICE. 6(1). 15–25. 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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