Yihui Fu

1.0k total citations · 1 hit paper
12 papers, 626 citations indexed

About

Yihui Fu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yihui Fu has authored 12 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yihui Fu's work include Speech and Audio Processing (8 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (6 papers). Yihui Fu is often cited by papers focused on Speech and Audio Processing (8 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (6 papers). Yihui Fu collaborates with scholars based in China, Netherlands and Cayman Islands. Yihui Fu's co-authors include Lei Xie, Shubo Lv, Mengtao Xing, Yanxin Hu, Yun Liu, Shimin Zhang, Jian Wu, Yannan Wang, Pengcheng Guo and Fan Yu and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE).

In The Last Decade

Yihui Fu

11 papers receiving 606 citations

Hit Papers

DCCRN: Deep Complex Convolution Recurrent Network for Pha... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yihui Fu China 7 565 420 207 78 46 12 626
Shubo Lv China 5 552 1.0× 386 0.9× 221 1.1× 85 1.1× 45 1.0× 9 597
Mengtao Xing China 2 430 0.8× 292 0.7× 173 0.8× 70 0.9× 37 0.8× 2 467
Lianwu Chen China 15 511 0.9× 312 0.7× 178 0.9× 72 0.9× 27 0.6× 31 554
Yan-Hui Tu China 12 414 0.7× 270 0.6× 121 0.6× 45 0.6× 26 0.6× 29 497
Volker Leutnant Germany 6 490 0.9× 308 0.7× 163 0.8× 85 1.1× 34 0.7× 16 518
Aditya Arie Nugraha Japan 10 617 1.1× 301 0.7× 206 1.0× 46 0.6× 44 1.0× 31 676
Armin Sehr Germany 8 742 1.3× 450 1.1× 261 1.3× 132 1.7× 40 0.9× 24 781
Tsubasa Ochiai Japan 16 784 1.4× 667 1.6× 96 0.5× 44 0.6× 39 0.8× 58 854
Buye Xu United States 10 346 0.6× 183 0.4× 148 0.7× 108 1.4× 20 0.4× 49 414

Countries citing papers authored by Yihui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yihui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihui Fu

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

All Works

12 of 12 papers shown
1.
Zhang, Ao, Wang He, Pengcheng Guo, et al.. (2023). VE-KWS: Visual Modality Enhanced End-to-End Keyword Spotting. 1–5. 3 indexed citations
3.
Rao, Wei, Yihui Fu, Shubo Lv, et al.. (2022). TEA-PSE: Tencent-Ethereal-Audio-Lab Personalized Speech Enhancement System for ICASSP 2022 DNS Challenge. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9291–9295. 27 indexed citations
4.
Yu, Fan, Shiliang Zhang, Yihui Fu, et al.. (2022). M2Met: The Icassp 2022 Multi-Channel Multi-Party Meeting Transcription Challenge. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6167–6171. 49 indexed citations
5.
Yu, Fan, Shiliang Zhang, Pengcheng Guo, et al.. (2022). Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9156–9160. 18 indexed citations
6.
Lv, Shubo, Yihui Fu, Mengtao Xing, et al.. (2022). S-DCCRN: Super Wide Band DCCRN with Learnable Complex Feature for Speech Enhancement. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7767–7771. 35 indexed citations
7.
Fu, Yihui, et al.. (2022). Uformer: A Unet Based Dilated Complex & Real Dual-Path Conformer Network for Simultaneous Speech Enhancement and Dereverberation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7417–7421. 36 indexed citations
8.
Wang, Ziteng, et al.. (2022). Multi-Task Deep Residual Echo Suppression with Echo-Aware Loss. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9127–9131. 18 indexed citations
10.
11.
Hu, Yanxin, Yun Liu, Shubo Lv, et al.. (2020). DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement. 2472–2476. 432 indexed citations breakdown →
12.
Fu, Yihui & Fanliang Bu. (2020). Design and Implementation of Targeted Person Holographic Archive System based on Apriori Algorithm. 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). 9. 1496–1500.

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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