Xin Lei

2.5k total citations · 1 hit paper
61 papers, 1.6k citations indexed

About

Xin Lei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xin Lei has authored 61 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 22 papers in Signal Processing. Recurrent topics in Xin Lei's work include Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (15 papers). Xin Lei is often cited by papers focused on Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (15 papers). Xin Lei collaborates with scholars based in China, United States and Australia. Xin Lei's co-authors include Ehsan Variani, Javier Gónzalez-Domínguez, Ignacio López Moreno, Erik McDermott, Mei-Yuh Hwang, Mari Ostendorf, Zongliang Du, Xu Guo, Chang Liu and Weisheng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Journal of Applied Mechanics.

In The Last Decade

Xin Lei

55 papers receiving 1.5k citations

Hit Papers

Deep neural networks for small footprint text-dependent s... 2014 2026 2018 2022 2014 200 400 600

Peers

Xin Lei
Comparison fields: 5 of 92
  • Artificial Intelligence 1.2k
  • Signal Processing 931
  • Computer Vision and Pattern Recognition 231
  • Civil and Structural Engineering 156
  • Experimental and Cognitive Psychology 64
Replace Yong Zhao with:
Yong Zhao China
Xiong Xiao Singapore
Jui-Ting Huang United States
Hamid Sheikhzadeh Iran
James Qin United States
Javier Macías-Guarasa Spain
Mahesh Chandra India
Haixin Sun China
Máximo Cobos Spain
Yong Zhao China View profile →
Citations per field, relative to Xin Lei
Xin Lei · 1×
Citations per year, relative to Xin Lei
Xin Lei · 1×

Countries citing papers authored by Xin Lei

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lei

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 2
5 0
6 134
7
WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit.
11
8 1
9 0
10 10
11 1
12 3
13 1
14 2
15 1
16
Deep neural networks for small footprint text-dependent speaker verification breakdown →
645
17 10
18 11
19 2
20 10

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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