Ryu Takeda

977 total citations
52 papers, 702 citations indexed

About

Ryu Takeda is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ryu Takeda has authored 52 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Signal Processing, 19 papers in Artificial Intelligence and 14 papers in Computational Mechanics. Recurrent topics in Ryu Takeda's work include Speech and Audio Processing (37 papers), Music and Audio Processing (18 papers) and Blind Source Separation Techniques (15 papers). Ryu Takeda is often cited by papers focused on Speech and Audio Processing (37 papers), Music and Audio Processing (18 papers) and Blind Source Separation Techniques (15 papers). Ryu Takeda collaborates with scholars based in Japan, United States and Italy. Ryu Takeda's co-authors include Kazunori Komatani, Hiroshi G. Okuno, Yasunari Obuchi, Naoyuki Kanda, Kazuhiro Nakadai, Tetsuya Ogata, Tôru Takahashi, Takuma Otsuka, Takeshi Mizumoto and Masahito Togami and has published in prestigious journals such as Pure and Applied Chemistry, Neural Computation and Journal of Comparative Physiology A.

In The Last Decade

Ryu Takeda

47 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryu Takeda Japan 15 497 181 97 92 72 52 702
Ricard Marxer France 13 470 0.9× 356 2.0× 100 1.0× 101 1.1× 36 0.5× 66 719
Takuma Otsuka Japan 11 229 0.5× 33 0.2× 64 0.7× 58 0.6× 25 0.3× 37 533
Romain Serizel France 13 548 1.1× 207 1.1× 106 1.1× 181 2.0× 28 0.4× 55 651
John McDonough Germany 17 863 1.7× 576 3.2× 110 1.1× 297 3.2× 32 0.4× 52 1.2k
Emre Çakır Finland 7 622 1.3× 198 1.1× 268 2.8× 17 0.2× 26 0.4× 11 729
Ben Milner United Kingdom 19 875 1.8× 531 2.9× 289 3.0× 119 1.3× 27 0.4× 84 1.0k
Jindong Chen China 16 315 0.6× 88 0.5× 67 0.7× 185 2.0× 32 0.4× 45 701
Alessio Brutti Italy 16 544 1.1× 187 1.0× 140 1.4× 172 1.9× 40 0.6× 72 686
Patrick Danès France 12 185 0.4× 81 0.4× 91 0.9× 62 0.7× 31 0.4× 41 425
Chanwoo Kim United States 15 757 1.5× 644 3.6× 61 0.6× 150 1.6× 22 0.3× 42 980

Countries citing papers authored by Ryu Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Ryu Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryu Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Ryu Takeda. A scholar is included among the top collaborators of Ryu Takeda 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 Ryu Takeda. Ryu Takeda 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.
Bando, Yoshiaki, et al.. (2023). Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis. IEEE Signal Processing Letters. 30. 384–388. 5 indexed citations
2.
Komatani, Kazunori, Ryu Takeda, & Shogo Okada. (2023). Analyzing Differences in Subjective Annotations by Participants and Third-party Annotators in Multimodal Dialogue Corpus. 104–113. 3 indexed citations
3.
Takeda, Ryu & Kazunori Komatani. (2021). Age Estimation with Speech-Age Model for Heterogeneous Speech Datasets. 4164–4168.
4.
Takeda, Ryu & Kazunori Komatani. (2017). Unsupervised Segmentation of Phoneme Sequences based on Pitman-Yor Semi-Markov Model using Phoneme Length Context. International Joint Conference on Natural Language Processing. 1. 243–252. 1 indexed citations
5.
Takeda, Ryu & Kazunori Komatani. (2017). Noise-Robust MUSIC-Based Sound Source Localization Using Steering Vector Transformation for Small Humanoids. Journal of Robotics and Mechatronics. 29(1). 26–36. 3 indexed citations
6.
Aihara, Ikkyu, Ryu Takeda, Takeshi Mizumoto, Takuma Otsuka, & Hiroshi G. Okuno. (2017). Size Effect on Call Properties of Japanese Tree Frogs Revealed by Audio-Processing Technique. Journal of Robotics and Mechatronics. 29(1). 247–254. 1 indexed citations
7.
Takeda, Ryu & Kazunori Komatani. (2017). Unsupervised adaptation of deep neural networks for sound source localization using entropy minimization. 2217–2221. 32 indexed citations
8.
Takeda, Ryu & Kazunori Komatani. (2016). Discriminative multiple sound source localization based on deep neural networks using independent location model. 603–609. 70 indexed citations
9.
Takeda, Ryu & Kazunori Komatani. (2015). Performance comparison of MUSIC-based sound localization methods on small humanoid under low SNR conditions. 859–865. 2 indexed citations
10.
Kanda, Naoyuki, Ryu Takeda, & Yasunari Obuchi. (2013). Elastic spectral distortion for low resource speech recognition with deep neural networks. 309–314. 81 indexed citations
11.
Obuchi, Yasunari, Ryu Takeda, & Naoyuki Kanda. (2012). Voice activity detection based on augmented statistical noise suppression. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 3 indexed citations
12.
Obuchi, Yasunari, Ryu Takeda, & Masahito Togami. (2012). Speech Recognition under Noisy Environment using Bidirectional OM-LSA Noise Suppression. 111(490). 37–42. 1 indexed citations
13.
Takeda, Ryu, Kazuhiro Nakadai, Tôru Takahashi, et al.. (2011). Robot Audition based on Multiple-Input Independent Component Analysis for Recognizing Barge-In Speech under Reverberation. Journal of the Robotics Society of Japan. 27(7). 782–792. 1 indexed citations
14.
Aihara, Ikkyu, Ryu Takeda, Takeshi Mizumoto, et al.. (2011). Complex and transitive synchronization in a frustrated system of calling frogs. Physical Review E. 83(3). 31913–31913. 36 indexed citations
15.
Mizumoto, Takeshi, Ikkyu Aihara, Takuma Otsuka, et al.. (2011). Sound imaging of nocturnal animal calls in their natural habitat. Journal of Comparative Physiology A. 197(9). 915–921. 17 indexed citations
16.
Takeda, Ryu, Kazuhiro Nakadai, Tôru Takahashi, et al.. (2009). Step-size parameter adaptation of multi-channel semi-blind ICA with piecewise linear model for barge-in-able robot audition. 2277–2282. 2 indexed citations
17.
18.
Mizumoto, Teruhiro, Ryu Takeda, Kazuyoshi Yoshii, et al.. (2008). A robot listens to music and counts its beats aloud by separating music from counting voice. 1538–1543. 11 indexed citations
19.
Takeda, Ryu, Kazuhiro Nakadai, Kazunori Komatani, Tetsuya Ogata, & Hiroshi G. Okuno. (2008). Barge-in-able robot audition based on ICA and missing feature theory under semi-blind situation. 116. 1718–1723. 10 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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