Guochen Yu

432 total citations
17 papers, 251 citations indexed

About

Guochen Yu is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Guochen Yu has authored 17 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 14 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Guochen Yu's work include Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (14 papers) and Speech Recognition and Synthesis (8 papers). Guochen Yu is often cited by papers focused on Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (14 papers) and Speech Recognition and Synthesis (8 papers). Guochen Yu collaborates with scholars based in China and United States. Guochen Yu's co-authors include Chengshi Zheng, Andong Li, Yutian Wang, Wenzhe Liu, Yinuo Guo, Xiaodong Li, Xiaodong Li, Hui Wang, Yutian Wang and Shan You and has published in prestigious journals such as IEEE Access, Information Fusion and Speech Communication.

In The Last Decade

Guochen Yu

17 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guochen Yu China	9	231	142	125	47	17	17	251
Deepak Baby Belgium	8	184 0.8×	108 0.8×	59 0.5×	80 1.7×	22 1.3×	23	257
Cheng Yu Taiwan	6	333 1.4×	232 1.6×	77 0.6×	49 1.0×	34 2.0×	12	372
Miquel Espi Japan	5	268 1.2×	158 1.1×	70 0.6×	25 0.5×	28 1.6×	13	295
Dacheng Yin China	5	216 0.9×	144 1.0×	91 0.7×	30 0.6×	22 1.3×	8	235
Ivo Merks United States	7	291 1.3×	137 1.0×	129 1.0×	78 1.7×	19 1.1×	14	304
Xiang Hao China	8	226 1.0×	153 1.1×	79 0.6×	33 0.7×	30 1.8×	13	264
Éric Plourde Canada	10	243 1.1×	65 0.5×	158 1.3×	89 1.9×	25 1.5×	33	301
Simon Welker Germany	8	255 1.1×	193 1.4×	57 0.5×	17 0.4×	34 2.0×	21	322
Benjamin J. Shannon Australia	5	343 1.5×	169 1.2×	185 1.5×	77 1.6×	31 1.8×	8	365
Zhaozhang Jin United States	8	383 1.7×	201 1.4×	106 0.8×	83 1.8×	31 1.8×	10	401

Countries citing papers authored by Guochen Yu

Since Specialization

Citations

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

Fields of papers citing papers by Guochen Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guochen Yu

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

All Works

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17 of 17 papers shown

Li, Nan, et al.. (2024). Multi-Stage Training For Cross-Domain Full-Band Audio Packet Loss Concealment. 35–36. 1 indexed citations

Yu, Guochen, Chenglin Xu, Nan Li, et al.. (2024). Ks-Net: Multi-Band Joint Speech Restoration and Enhancement Network for 2024 ICASSP SSI Challenge. 33–34. 3 indexed citations

Yu, Guochen, Xiguang Zheng, Nan Li, et al.. (2024). BAE-Net: a Low Complexity and High Fidelity Bandwidth-Adaptive Neural Network for Speech Super-Resolution. 571–575. 2 indexed citations

Li, Andong, Guochen Yu, Chengshi Zheng, Wenzhe Liu, & Xiaodong Li. (2023). A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 3629–3646. 13 indexed citations

Li, Andong, et al.. (2023). TaBE: Decoupling spatial and spectral processing with Taylor’s unfolding method in the beamspace domain for multi-channel speech enhancement. Information Fusion. 101. 101976–101976. 7 indexed citations

Yu, Guochen, Andong Li, Wenzhe Liu, et al.. (2023). FSI-Net: A dual-stage full- and sub-band integration network for full-band speech enhancement. Applied Acoustics. 211. 109539–109539. 5 indexed citations

Yu, Guochen, et al.. (2022). DBT-Net: Dual-Branch Federative Magnitude and Phase Estimation With Attention-in-Attention Transformer for Monaural Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2629–2644. 30 indexed citations

Li, Andong, et al.. (2022). Filtering and Refining: A Collaborative-Style Framework for Single-Channel Speech Enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2156–2172. 13 indexed citations

Li, Andong, Guochen Yu, Chengshi Zheng, & Xiaodong Li. (2022). TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor’s Approximation Theory. Interspeech 2022. 5413–5417. 14 indexed citations

10.

Yu, Guochen, et al.. (2022). Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement. 483–487. 4 indexed citations

11.

Yu, Guochen, et al.. (2022). Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7847–7851. 61 indexed citations

12.

Yu, Guochen, et al.. (2022). Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6967–6971. 6 indexed citations

13.

Li, Andong, Shan You, Guochen Yu, Chengshi Zheng, & Xiaodong Li. (2022). Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4193–4200. 14 indexed citations

14.

Yu, Guochen, et al.. (2022). DMF-Net: A decoupling-style multi-band fusion model for full-band speech enhancement. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 1382–1387. 6 indexed citations

15.

Yu, Guochen, et al.. (2021). A two-stage complex network using cycle-consistent generative adversarial networks for speech enhancement. Speech Communication. 134. 42–54. 14 indexed citations

16.

Li, Andong, et al.. (2021). A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. 2801–2805. 50 indexed citations

17.

Wang, Yutian, et al.. (2020). Improved Relativistic Cycle-Consistent GAN With Dilated Residual Network and Multi-Attention for Speech Enhancement. IEEE Access. 8. 183272–183285. 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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