Deyi Tuo

406 total citations
10 papers, 200 citations indexed

About

Deyi Tuo is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deyi Tuo has authored 10 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 9 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Deyi Tuo's work include Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (9 papers) and Music and Audio Processing (8 papers). Deyi Tuo is often cited by papers focused on Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (9 papers) and Music and Audio Processing (8 papers). Deyi Tuo collaborates with scholars based in China, Hong Kong and United States. Deyi Tuo's co-authors include Shiyin Kang, Dong Yu, Dan Su, Zhiyong Wu, Jun Chen, Zilin Wang, Helen Meng, Zhifeng Li, Na Li and Meng Yu and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.

In The Last Decade

Deyi Tuo

9 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deyi Tuo China	5	168	160	21	18	9	10	200
Ladislav Mošner Czechia	9	203 1.2×	186 1.2×	19 0.9×	18 1.0×	16 1.8×	25	235
Chenda Li China	9	297 1.8×	313 2.0×	33 1.6×	24 1.3×	16 1.8×	24	390
Hanwu Sun Singapore	10	184 1.1×	159 1.0×	40 1.9×	15 0.8×	18 2.0×	37	228
Prashant Sridhar United States	7	260 1.5×	276 1.7×	24 1.1×	18 1.0×	15 1.7×	12	337
Aswin Shanmugam Subramanian United States	11	291 1.7×	264 1.6×	42 2.0×	17 0.9×	15 1.7×	23	355
Christophe Cerisara France	8	120 0.7×	154 1.0×	18 0.9×	20 1.1×	6 0.7×	46	192
Charles Jankowski United States	7	245 1.5×	218 1.4×	15 0.7×	37 2.1×	22 2.4×	11	282
Naohiro Tawara Japan	7	225 1.3×	257 1.6×	16 0.8×	11 0.6×	10 1.1×	42	289
Naoyuki Kamo Japan	10	257 1.5×	255 1.6×	48 2.3×	16 0.9×	24 2.7×	19	341

Countries citing papers authored by Deyi Tuo

Since Specialization

Citations

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

Fields of papers citing papers by Deyi Tuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deyi Tuo

This figure shows the co-authorship network connecting the top 25 collaborators of Deyi Tuo. A scholar is included among the top collaborators of Deyi Tuo 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 Deyi Tuo. Deyi Tuo 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:

10 of 10 papers shown

1.

Liu, Feng, et al.. (2023). CoverHunter: Cover Song Identification with Refined Attention and Alignments. 1080–1085.

2.

Chen, Jun, Zilin Wang, Deyi Tuo, et al.. (2022). FullSubNet+: Channel Attention Fullsubnet with Complex Spectrograms for Speech Enhancement. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7857–7861. 63 indexed citations

3.

Liu, Feng, et al.. (2022). Disentangling Content and Fine-Grained Prosody Information Via Hybrid ASR Bottleneck Features for Voice Conversion. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7022–7026. 14 indexed citations

4.

Tuo, Deyi, et al.. (2022). Towards Improving the Expressiveness of Singing Voice Synthesis with BERT Derived Semantic Information. Interspeech 2022. 4292–4296. 1 indexed citations

5.

Wang, Jie, Feng Liu, Deyi Tuo, et al.. (2021). The Huya Multi-Speaker and Multi-Style Speech Synthesis System for M2voc Challenge 2020. 8608–8612. 2 indexed citations

6.

Yu, Chengzhu, Heng Lu, Na Hu, et al.. (2020). DurIAN: Duration Informed Attention Network for Speech Synthesis. 2027–2031. 56 indexed citations

7.

Zou, Yuexian, Na Li, Deyi Tuo, et al.. (2019). Syllable-Dependent Discriminative Learning for Small Footprint Text-Dependent Speaker Verification. 350–357. 2 indexed citations

8.

Wang, Mu, Xixin Wu, Zhiyong Wu, et al.. (2019). Quasi-fully Convolutional Neural Network with Variational Inference for Speech Synthesis. 7060–7064. 3 indexed citations

9.

Li, Rongjin, Na Li, Deyi Tuo, et al.. (2019). Boundary Discriminative Large Margin Cosine Loss for Text-independent Speaker Verification. 6321–6325. 15 indexed citations

10.

Li, Na, Deyi Tuo, Dan Su, Zhifeng Li, & Dong Yu. (2018). Deep Discriminative Embeddings for Duration Robust Speaker Verification. 44 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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