Yusuke Ijima

709 total citations
59 papers, 452 citations indexed

About

Yusuke Ijima is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Yusuke Ijima has authored 59 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 34 papers in Signal Processing and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Yusuke Ijima's work include Speech Recognition and Synthesis (46 papers), Speech and Audio Processing (32 papers) and Natural Language Processing Techniques (20 papers). Yusuke Ijima is often cited by papers focused on Speech Recognition and Synthesis (46 papers), Speech and Audio Processing (32 papers) and Natural Language Processing Techniques (20 papers). Yusuke Ijima collaborates with scholars based in Japan, United States and Italy. Yusuke Ijima's co-authors include Nobukatsu Hojo, Shinnosuke Takamichi, Yuki Saito, Kyosuke Nishida, Takuhiro Kaneko, Hirokazu Kameoka, Kunio Kashino, Kaoru Hiramatsu, Ryo Masumura and Masanobu Abe and has published in prestigious journals such as Frontiers in Psychology, Speech Communication and Language Resources and Evaluation.

In The Last Decade

Yusuke Ijima

50 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yusuke Ijima Japan	10	386	295	65	28	15	59	452
Piotr Żelasko United States	9	249 0.6×	197 0.7×	25 0.4×	44 1.6×	24 1.6×	33	334
Arthur R. Toth United States	13	276 0.7×	187 0.6×	29 0.4×	19 0.7×	18 1.2×	23	337
Ranniery Maia Japan	11	301 0.8×	274 0.9×	59 0.9×	26 0.9×	19 1.3×	42	356
Po-Han Chi Taiwan	2	439 1.1×	293 1.0×	69 1.1×	42 1.5×	15 1.0×	3	527
Ganesh Sivaraman United States	10	265 0.7×	242 0.8×	100 1.5×	62 2.2×	18 1.2×	21	352
Erica Cooper Japan	15	545 1.4×	410 1.4×	49 0.8×	61 2.2×	14 0.9×	58	644
Bajibabu Bollepalli Finland	8	225 0.6×	188 0.6×	59 0.9×	21 0.8×	39 2.6×	24	282
Shuyan Dong China	5	377 1.0×	245 0.8×	59 0.9×	19 0.7×	15 1.0×	16	477
Natalia Tomashenko France	12	283 0.7×	176 0.6×	15 0.2×	17 0.6×	24 1.6×	34	324
Ramya Rasipuram Switzerland	11	287 0.7×	191 0.6×	33 0.5×	17 0.6×	12 0.8×	28	317

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-authorship network of co-authors of Yusuke Ijima

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Ijima. A scholar is included among the top collaborators of Yusuke Ijima 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 Yusuke Ijima. Yusuke Ijima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Delcroix, Marc, et al.. (2024). What Do Self-Supervised Speech and Speaker Models Learn? New Findings from a Cross Model Layer-Wise Analysis. 10166–10170. 5 indexed citations

Fujita, Ken‐ichi, et al.. (2024). Lightweight Zero-shot Text-to-Speech with Mixture of Adapters. 692–696.

Moriya, Takafumi, et al.. (2023). VC-T: Streaming Voice Conversion Based on Neural Transducer. 2088–2092.

Ijima, Yusuke, et al.. (2023). Perceived emotional states mediate willingness to buy from advertising speech. Frontiers in Psychology. 13. 1014921–1014921. 9 indexed citations

Ijima, Yusuke, et al.. (2022). Multi-Sample Subband Wavernn Via Multivariate Gaussian. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9. 8427–8431. 1 indexed citations

Ijima, Yusuke, et al.. (2022). Joint Modeling of Multi-Sample and Subband Signals for Fast Neural Vocoding on CPU. Interspeech 2022. 1626–1630. 1 indexed citations

Nakata, Wataru, Tomoki Koriyama, Shinnosuke Takamichi, et al.. (2021). Audiobook Speech Synthesis Conditioned by Cross-Sentence Context-Aware Word Embeddings. 211–215. 9 indexed citations

Ijima, Yusuke, et al.. (2021). Impact of Emotional State on Estimation of Willingness to Buy from Advertising Speech. 2486–2490. 3 indexed citations

Ijima, Yusuke, et al.. (2020). Saxe: Text-to-Speech Synthesis Engine Applicable to Diverse Use Cases. NTT technical review. 18(12). 48–52. 1 indexed citations

10.

Koriyama, Tomoki, Yuki Saito, Shinnosuke Takamichi, et al.. (2020). DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus. Language Resources and Evaluation. 6438–6443. 2 indexed citations

11.

Koriyama, Tomoki, Yuki Saito, Shinnosuke Takamichi, et al.. (2020). Investigating Effective Additional Contextual Factors in DNN-Based Spontaneous Speech Synthesis. 3201–3205. 2 indexed citations

12.

Kaneko, Takuhiro, et al.. (2016). Generative Adversarial Network-based Postfiltering for Statistical Parametric Speech Synthesis. IEICE Technical Report; IEICE Tech. Rep.. 116(378). 89–94. 2 indexed citations

13.

Hojo, Nobukatsu, et al.. (2016). An Investigation of DNN-Based Speech Synthesis Using Speaker Codes. 2278–2282. 26 indexed citations

14.

Irie, Go, et al.. (2015). Media Processing Technology for Achieving Hospitality in Information Search. NTT technical review. 13(4). 35–44. 2 indexed citations

15.

Ijima, Yusuke, et al.. (2015). Similar Speaker Selection Technique Based on Distance Metric Learning Using Highly Correlated Acoustic Features with Perceptual Voice Quality Similarity. IEICE Transactions on Information and Systems. E98.D(1). 157–165. 1 indexed citations

16.

Ijima, Yusuke, et al.. (2015). Statistical model training technique based on speaker clustering approach for HMM-based speech synthesis. Speech Communication. 71. 50–61. 3 indexed citations

17.

Ijima, Yusuke, et al.. (2013). Statistical model training technique for speech synthesis based on speaker class.. SSW. 141–145. 1 indexed citations

18.

Ijima, Yusuke, et al.. (2013). Speech Synthesis Technology to Produce Diverse and Expressive Speech. NTT technical review. 11(7). 28–33. 1 indexed citations

19.

Nose, Takashi, et al.. (2013). Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis. Speech Communication. 57. 144–154. 11 indexed citations

20.

Ijima, Yusuke, Makoto Tachibana, Takashi Nose, & Takao Kobayashi. (2009). Emotional speech recognition based on style estimation and adaptation with multiple-regression HMM. 4157–4160. 8 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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