Yan-Hui Tu

691 total citations
29 papers, 497 citations indexed

About

Yan-Hui Tu is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yan-Hui Tu has authored 29 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Signal Processing, 20 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Yan-Hui Tu's work include Speech and Audio Processing (26 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (14 papers). Yan-Hui Tu is often cited by papers focused on Speech and Audio Processing (26 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (14 papers). Yan-Hui Tu collaborates with scholars based in China, United States and United Kingdom. Yan-Hui Tu's co-authors include Jun Du, Chin‐Hui Lee, Li-Rong Dai, Yong Xu, Lei Sun, Feng Ma, Ivan Tashev, Jingdong Chen, Xue Bai and Qing Wang and has published in prestigious journals such as IEEE Transactions on Signal Processing, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Yan-Hui Tu

29 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan-Hui Tu China 12 414 270 121 45 40 29 497
Shimin Zhang China 9 502 1.2× 337 1.2× 191 1.6× 76 1.7× 50 1.3× 27 692
Soumitro Chakrabarty Germany 8 389 0.9× 109 0.4× 115 1.0× 62 1.4× 73 1.8× 15 419
Renhua Peng China 10 220 0.5× 85 0.3× 126 1.0× 51 1.1× 36 0.9× 26 273
Gordon Wichern United States 13 396 1.0× 245 0.9× 74 0.6× 37 0.8× 28 0.7× 79 567
Axel Plinge Germany 12 242 0.6× 118 0.4× 81 0.7× 54 1.2× 107 2.7× 33 376
Yuxuan Wang China 9 261 0.6× 118 0.4× 92 0.8× 103 2.3× 63 1.6× 17 480
Yihui Fu China 7 565 1.4× 420 1.6× 207 1.7× 78 1.7× 39 1.0× 12 626
Cyril Plapous France 7 372 0.9× 89 0.3× 228 1.9× 76 1.7× 64 1.6× 11 452

Countries citing papers authored by Yan-Hui Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Hui Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Hui Tu. 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 Yan-Hui Tu. The network helps show where Yan-Hui Tu may publish in the future.

Co-authorship network of co-authors of Yan-Hui Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Hui Tu. A scholar is included among the top collaborators of Yan-Hui Tu 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 Yan-Hui Tu. Yan-Hui Tu 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.
Du, Jun, et al.. (2022). Dilated Nested Arrays With More Degrees of Freedom (DOFs) and Less Mutual Coupling—Part I: The Fundamental Geometry. IEEE Transactions on Signal Processing. 70. 2518–2531. 30 indexed citations
3.
Du, Jun, et al.. (2021). TCLA Array: A New Sparse Array Design with Less Mutual Coupling. 78. 4605–4609. 1 indexed citations
4.
Du, Jun, et al.. (2021). Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge. 2013. 912–918. 1 indexed citations
6.
Tu, Yan-Hui, Jun Du, & Chin‐Hui Lee. (2020). 2D-to-2D Mask Estimation for Speech Enhancement Based on Fully Convolutional Neural Network. 32. 6664–6668. 2 indexed citations
7.
Du, Jun, Yan-Hui Tu, Xin Tang, et al.. (2020). The USTC-NELSLIP Systems for CHiME-6 Challenge. 19–23. 10 indexed citations
8.
Tu, Yan-Hui, et al.. (2020). A Multi-Target SNR-Progressive Learning Approach to Regression Based Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 1608–1619. 16 indexed citations
9.
11.
Tu, Yan-Hui, Jun Du, & Chin‐Hui Lee. (2019). DNN Training Based on Classic Gain Function for Single-channel Speech Enhancement and Recognition. 910–914. 6 indexed citations
12.
Tu, Yan-Hui, Jun Du, Lei Sun, et al.. (2018). An iterative mask estimation approach to deep learning based multi-channel speech recognition. Speech Communication. 106. 31–43. 21 indexed citations
14.
Tu, Yan-Hui, Jun Du, Lei Sun, Feng Ma, & Chin‐Hui Lee. (2017). On Design of Robust Deep Models for CHiME-4 Multi-Channel Speech Recognition with Multiple Configurations of Array Microphones. 394–398. 21 indexed citations
15.
Tu, Yan-Hui, Jun Du, Lei Sun, & Chin‐Hui Lee. (2017). LSTM-based iterative mask estimation and post-processing for multi-channel speech enhancement. 488–491. 9 indexed citations
16.
Tu, Yan-Hui, Jun Du, & Chin‐Hui Lee. (2017). A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech. Journal of Signal Processing Systems. 90(7). 963–973. 6 indexed citations
17.
Du, Jun, Yan-Hui Tu, Li-Rong Dai, & Chin‐Hui Lee. (2016). A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(8). 1424–1437. 77 indexed citations
18.
Abdullah, Abdulkareem S., Ramzy S. Ali, Yan-Hui Tu, et al.. (2016). The effects of mutual coupling within antenna arrays on angle of arrival methods. 1–5. 9 indexed citations
20.
Abd‐Alhameed, Raed A., et al.. (2014). Automatic liquid level indication and control using passive UHF RFID tags. Bradford Scholars (University of Bradford). 8. 136–140. 2 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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