Mengxiao Bi

613 total citations · 1 hit paper
13 papers, 397 citations indexed

About

Mengxiao Bi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mengxiao Bi has authored 13 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mengxiao Bi's work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (5 papers). Mengxiao Bi is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (5 papers). Mengxiao Bi collaborates with scholars based in China. Mengxiao Bi's co-authors include Yanmin Qian, Kai Yu, Tian Tan, Pengcheng Zhu, Lei Xie, Lei Xie, Xinsheng Wang, Yu Wang, Hanzhao Li and Jie Wu and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.

In The Last Decade

Mengxiao Bi

13 papers receiving 372 citations

Hit Papers

Very Deep Convolutional Neural Networks for Noise Robust ... 2016 2026 2019 2022 2016 50 100 150 200 250
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.

  1. Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition
    2016 252 citations Yanmin Qian, Mengxiao Bi et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengxiao Bi China 7 276 255 63 28 20 13 397
Horia Cucu Romania 13 338 1.2× 237 0.9× 53 0.8× 70 2.5× 10 0.5× 93 488
V. Kamakshi Prasad India 10 163 0.6× 111 0.4× 98 1.6× 30 1.1× 13 0.7× 56 315
K.K. Paliwal Australia 9 209 0.8× 193 0.8× 46 0.7× 18 0.6× 16 0.8× 22 339
Nagendra Kumar India 5 306 1.1× 266 1.0× 106 1.7× 46 1.6× 29 1.4× 11 424
Babak Nasersharif Iran 11 239 0.9× 196 0.8× 86 1.4× 10 0.4× 14 0.7× 64 374
Tarkan Aydın Türkiye 6 139 0.5× 124 0.5× 97 1.5× 12 0.4× 9 0.5× 19 430
A.C. Lindgren United States 8 140 0.5× 163 0.6× 26 0.4× 19 0.7× 35 1.8× 8 302
Christian Fuegen United States 12 691 2.5× 427 1.7× 54 0.9× 19 0.7× 20 1.0× 33 789
Simon Leglaive France 8 163 0.6× 185 0.7× 66 1.0× 14 0.5× 32 1.6× 20 352
Jeih-weih Hung Taiwan 12 361 1.3× 464 1.8× 76 1.2× 20 0.7× 35 1.8× 88 556

Countries citing papers authored by Mengxiao Bi

Since Specialization
Citations

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

Fields of papers citing papers by Mengxiao Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxiao Bi

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

All Works

13 of 13 papers shown
1.
Liu, Zhijun, et al.. (2025). E1 TTS: Simple and Fast Non-Autoregressive TTS. 1–5. 2 indexed citations
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Zhu, Pengcheng, et al.. (2024). Dualvc 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion. 11106–11110. 1 indexed citations
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Wang, Yu, Xinsheng Wang, Pengcheng Zhu, et al.. (2022). Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis. Interspeech 2022. 4242–4246. 43 indexed citations
8.
Wang, Xinsheng, et al.. (2022). Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher. Interspeech 2022. 4267–4271. 6 indexed citations
9.
Xie, Lei, et al.. (2022). VISinger: Variational Inference with Adversarial Learning for End-to-End Singing Voice Synthesis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7237–7241. 34 indexed citations
10.
Wang, Zhichao, et al.. (2022). One-Shot Voice Conversion For Style Transfer Based On Speaker Adaptation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6792–6796. 7 indexed citations
11.
Bi, Mengxiao, Heng Lu, Shiliang Zhang, Ming Lei, & Zhijie Yan. (2018). Deep Feed-Forward Sequential Memory Networks for Speech Synthesis. 15. 4794–4798. 5 indexed citations
12.
Qian, Yanmin, Mengxiao Bi, Tian Tan, & Kai Yu. (2016). Very Deep Convolutional Neural Networks for Noise Robust Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 24(12). 2263–2276. 252 indexed citations breakdown →
13.
Bi, Mengxiao, Yanmin Qian, & Kai Yu. (2015). Very deep convolutional neural networks for LVCSR. 3259–3263. 33 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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