Mengxiao Bi

613 citations
13 papers · 397 indexed · 1 hit paper · h-index 7
Topics
Speech Recognition and Synthesis (10 papers)Speech and Audio Processing (7 papers)Music and Audio Processing (5 papers)
Journals
IEEE/ACM Transactions on Audio Speech and Language ProcessingICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Interspeech 2022
Partner nations
China

In The Last Decade

Mengxiao Bi

13 papers receiving 372 citations

Hit Papers

Very Deep Convolutional Neural Networks for Noise Robust ...2016202620192022201650100150200250

Peers

Mengxiao Bi
Comparison fields: 5 of 70
  • Artificial Intelligence 276
  • Signal Processing 255
  • Computer Vision and Pattern Recognition 63
  • Electrical and Electronic Engineering 28
  • Cognitive Neuroscience 20
Replace José L. Pérez-Córdoba with:
José L. Pérez-Córdoba Spain
Dongsuk Yook South Korea
Thomas Kemp Germany
Eugene Weinstein United States
Raziel Álvarez United States
Dongchao Yang China
Yanzhang He United States
K.K. Paliwal Australia
Minsu Kim South Korea
Igor Szöke Czechia
Mengxiao Bi relative to José L. Pérez-Córdoba Spain José L. Pérez-Córdoba's profile →
Citations per field
00.5×8.5×
José L. Pérez-Córdoba · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 2
3 1
4 1
5 8
6 3
7 6
8 43
9 7
10 34
11 5
12
Very Deep Convolutional Neural Networks for Noise Robust Speech Recognitionbreakdown →
252
13 33

About Mengxiao Bi

Mengxiao Bi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 397 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (255 citations), Artificial Intelligence (276 citations) and Computer Vision and Pattern Recognition (63 citations). Mengxiao Bi has collaborated with scholars based in China. Frequent co-authors include Yanmin Qian, Kai Yu, Tian Tan, Pengcheng Zhu, Lei Xie, Lei Xie, Xinsheng Wang, Jie Wu, Hanzhao Li and Yu Wang. Their work appears in 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.

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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