Xin Lei

81 total papers · 2.5k total citations
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, Erik McDermott, Javier Gónzalez-Domínguez, Ignacio López Moreno, Mei-Yuh Hwang, Mari Ostendorf, Chang Liu, Andrew Senior, Xu Guo 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 ... 2014 2026 2018 2022 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xin Lei 1.2k 928 227 152 64 61 1.6k
Paweł Świętojański 1.2k 1.0× 942 1.0× 262 1.2× 43 0.3× 103 1.6× 41 2.0k
Xiaodong Cui 1.2k 1.0× 824 0.9× 238 1.0× 20 0.1× 125 2.0× 92 1.6k
Yong Zhao 701 0.6× 602 0.6× 229 1.0× 59 0.4× 118 1.8× 101 1.3k
R. Gopinath 605 0.5× 842 0.9× 797 3.5× 49 0.3× 23 0.4× 95 1.9k
Vaibhava Goel 832 0.7× 628 0.7× 221 1.0× 17 0.1× 48 0.8× 79 1.3k
Danilo Comminiello 598 0.5× 823 0.9× 478 2.1× 82 0.5× 35 0.5× 100 1.8k
Frédéric Bimbot 1.3k 1.1× 1.6k 1.8× 468 2.1× 21 0.1× 51 0.8× 117 2.2k
Felix Albu 195 0.2× 1.2k 1.3× 303 1.3× 75 0.5× 20 0.3× 124 1.9k
Javier Macías-Guarasa 452 0.4× 390 0.4× 147 0.6× 151 1.0× 68 1.1× 86 1.5k
Gautham J. Mysore 384 0.3× 895 1.0× 466 2.1× 57 0.4× 24 0.4× 55 1.3k

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

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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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