Xueyao Li

131 total papers · 969 total citations
78 papers, 626 citations indexed

About

Xueyao Li is a scholar working on Signal Processing, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, Xueyao Li has authored 78 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 10 papers in Artificial Intelligence and 8 papers in Organic Chemistry. Recurrent topics in Xueyao Li's work include Speech and Audio Processing (10 papers), Blind Source Separation Techniques (7 papers) and Graphene research and applications (5 papers). Xueyao Li is often cited by papers focused on Speech and Audio Processing (10 papers), Blind Source Separation Techniques (7 papers) and Graphene research and applications (5 papers). Xueyao Li collaborates with scholars based in China, United States and United Kingdom. Xueyao Li's co-authors include Rubo Zhang, Jie Xia, Song Wu, Yumin Su, Yang Ge, Rubo Zhang, Taosheng Jin, Zhiqiang Luo, Wenjie Xue and Chao Xu and has published in prestigious journals such as Advanced Materials, The Science of The Total Environment and Food Chemistry.

In The Last Decade

Xueyao Li

72 papers receiving 597 citations

Hit Papers

Capacitive‐Coupling‐Respo... 2024 2026 2024 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Xueyao Li 103 72 69 66 65 78 626
Xiaoteng Wang 80 0.8× 124 1.7× 53 0.8× 48 0.7× 35 0.5× 59 788
Wei Guan 68 0.7× 41 0.6× 37 0.5× 22 0.3× 34 0.5× 88 721
Zahra Amini 160 1.6× 53 0.7× 28 0.4× 34 0.5× 34 0.5× 69 723
Jiayi Zhou 214 2.1× 103 1.4× 99 1.4× 30 0.5× 35 0.5× 64 723
Yanni Wang 94 0.9× 216 3.0× 51 0.7× 23 0.3× 70 1.1× 83 790
Lijun Yang 104 1.0× 54 0.8× 40 0.6× 58 0.9× 19 0.3× 68 693
Hui Huang 165 1.6× 82 1.1× 40 0.6× 33 0.5× 30 0.5× 53 603
Marischa Elveny 112 1.1× 116 1.6× 46 0.7× 16 0.2× 27 0.4× 73 733
Tao Xie 74 0.7× 52 0.7× 66 1.0× 34 0.5× 9 0.1× 58 703
Mingshi Wang 66 0.6× 75 1.0× 69 1.0× 33 0.5× 12 0.2× 68 778

Countries citing papers authored by Xueyao Li

Since Specialization
Citations

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

Fields of papers citing papers by Xueyao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueyao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xueyao Li. A scholar is included among the top collaborators of Xueyao Li 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 Xueyao Li. Xueyao Li 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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