Sanyuan Chen

2.7k total citations · 2 hit papers
26 papers, 1.4k citations indexed

About

Sanyuan Chen is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sanyuan Chen has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 13 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sanyuan Chen's work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). Sanyuan Chen is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (13 papers) and Music and Audio Processing (11 papers). Sanyuan Chen collaborates with scholars based in China, Finland and United States. Sanyuan Chen's co-authors include Shujie Liu, Yu Wu, Jinyu Li, Chengyi Wang, Xiangzhan Yu, Jian Wu, Takuya Yoshioka, Yao Qian, Zhengyang Chen and Furu Wei and has published in prestigious journals such as Sensors and Actuators A Physical, IEEE Journal of Selected Topics in Signal Processing and Optics & Laser Technology.

In The Last Decade

Sanyuan Chen

25 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

2022 832 citations Sanyuan Chen, Chengyi Wang et al. profile →
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

2025 24 citations Sanyuan Chen, Chengyi Wang et al. IEEE Transactions on Audio Speech and Language Processing profile →

Peers

Sanyuan Chen

AI

SP

ECP

CVPR

BE

Shiyin Kang China

Petr Motlíček Switzerland

Levent M. Arslan Türkiye

Zhengqi Wen China

Eduardo Lleida Spain

Gérard Chollet France

Peter Bell United Kingdom

Rohit Sinha India

Mitchell McLaren United States

Seiichi Nakagawa Japan

Shiyin Kang China

Sanyuan Chen

1.0k ×1.0

AI

912 ×1.2

SP

107 ×0.8

ECP

150 ×1.2

CVPR

31 ×0.8

BE

Citations per year, relative to Sanyuan Chen Sanyuan Chen (= 1×) peers Shiyin Kang

Countries citing papers authored by Sanyuan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Sanyuan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanyuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Sanyuan Chen. A scholar is included among the top collaborators of Sanyuan Chen 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 Sanyuan Chen. Sanyuan Chen 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

1.

Chen, Sanyuan, Chengyi Wang, Yu Wu, et al.. (2025). Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers. IEEE Transactions on Audio Speech and Language Processing. 33. 705–718. 24 indexed citations breakdown →

2.

Feng, Qian, et al.. (2025). WDUIE: wavelet-based diffusion for semi-supervised underwater image enhancement. Optics & Laser Technology. 192. 113988–113988.

3.

Zhou, Long, Shujie Liu, Sanyuan Chen, et al.. (2025). Autoregressive Speech Synthesis without Vector Quantization. 1287–1300. 3 indexed citations

4.

Chen, Zhuo, Naoyuki Kanda, Şefik Emre Eskimez, et al.. (2024). SpeechX: Neural Codec Language Model as a Versatile Speech Transformer. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3355–3364. 18 indexed citations

5.

Hu, Shujie, Long Zhou, Shujie Liu, et al.. (2024). WavLLM: Towards Robust and Adaptive Speech Large Language Model. 4552–4572. 15 indexed citations

6.

Zhang, Ziqiang, Sanyuan Chen, Long Zhou, et al.. (2024). SpeechLM: Enhanced Speech Pre-Training With Unpaired Textual Data. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2177–2187. 16 indexed citations

7.

Chen, Sanyuan, Zhuo Chen, Yu Wu, et al.. (2023). Exploring WavLM on Speech Enhancement. 451–457. 9 indexed citations

8.

Chen, Zhengyang, Sanyuan Chen, Yu Wu, et al.. (2022). Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6147–6151. 58 indexed citations

9.

Chen, Sanyuan, Yu Wu, Chengyi Wang, et al.. (2022). Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?. Interspeech 2022. 3699–3703. 20 indexed citations

10.

Wang, Chengyi, Yiming Wang, Yu Wu, et al.. (2022). Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training. Interspeech 2022. 8 indexed citations

11.

Wang, Chengyi, Yu Wu, Sanyuan Chen, et al.. (2022). Improving Self-Supervised Learning for Speech Recognition with Intermediate Layer Supervision. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7092–7096. 10 indexed citations

12.

Liu, Yan, et al.. (2022). MPII: Multi-Level Mutual Promotion for Inference and Interpretation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7074–7084. 2 indexed citations

13.

Chen, Sanyuan, Yu Wu, Chengyi Wang, et al.. (2022). Unispeech-Sat: Universal Speech Representation Learning With Speaker Aware Pre-Training. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6152–6156. 46 indexed citations

14.

Chen, Sanyuan, Yu Wu, Zhuo Chen, et al.. (2021). Don’t Shoot Butterfly with Rifles: Multi-Channel Continuous Speech Separation with Early Exit Transformer. 6139–6143. 14 indexed citations

15.

Wu, Jian, Zhuo Chen, Sanyuan Chen, et al.. (2021). Investigation of Practical Aspects of Single Channel Speech Separation for ASR. 3066–3070. 9 indexed citations

16.

Hou, Yutai, Sanyuan Chen, Wanxiang Che, Cheng Chen, & Ting Liu. (2021). C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 13027–13035. 10 indexed citations

17.

Chen, Sanyuan, Yutai Hou, Yiming Cui, et al.. (2020). Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. 7870–7881. 85 indexed citations

18.

Chen, Sanyuan, et al.. (2020). MotherNets: Rapid Deep Ensemble Learning. 2. 199–215. 8 indexed citations

19.

Chen, Yuanfang, Weihua Pei, Rongyu Tang, Sanyuan Chen, & Hongda Chen. (2012). Conformal coating of parylene for surface anti-adhesion in polydimethylsiloxane (PDMS) double casting technique. Sensors and Actuators A Physical. 189. 143–150. 38 indexed citations

20.

Gui, Yun, Sanyuan Chen, Beiju Huang, et al.. (2012). An 8-channel fully differential analog front-end for neural recording. 132–135. 5 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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