Xi Shao

98 total papers · 1.1k total citations
58 papers, 747 citations indexed

About

Xi Shao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Xi Shao has authored 58 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Xi Shao's work include Music and Audio Processing (18 papers), Speech and Audio Processing (14 papers) and Music Technology and Sound Studies (11 papers). Xi Shao is often cited by papers focused on Music and Audio Processing (18 papers), Speech and Audio Processing (14 papers) and Music Technology and Sound Studies (11 papers). Xi Shao collaborates with scholars based in China, United States and Singapore. Xi Shao's co-authors include Changsheng Xu, Namunu C. Maddage, Mohan Kankanhalli, Neil Goldsman, G. Metze, Qi Tian, Fang Cao, Bo Li, X. X. Yi and Bing‐Kun Bao and has published in prestigious journals such as Journal of Applied Physics, Monthly Weather Review and IEEE Access.

In The Last Decade

Xi Shao

55 papers receiving 677 citations

Author Peers

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

Author Last Decade Papers Cites
Xi Shao 388 343 174 135 70 58 747
Thomas Grill 368 0.9× 287 0.8× 30 0.2× 100 0.7× 15 0.2× 37 659
Rui Lü 127 0.3× 382 1.1× 44 0.3× 164 1.2× 14 0.2× 40 702
Xiaokang Yang 127 0.3× 411 1.2× 95 0.5× 47 0.3× 217 3.1× 60 888
Philippe Hamel 247 0.6× 228 0.7× 204 1.2× 129 1.0× 13 0.2× 37 780
Hao Jiang 475 1.2× 398 1.2× 29 0.2× 195 1.4× 7 0.1× 43 746
Pengwei Hao 328 0.8× 653 1.9× 64 0.4× 125 0.9× 9 0.1× 66 890
Alexander Lerch 555 1.4× 402 1.2× 44 0.3× 208 1.5× 9 0.1× 66 829
Minghui Dong 328 0.8× 208 0.6× 84 0.5× 491 3.6× 10 0.1× 79 905
Chao-Han Huck Yang 177 0.5× 147 0.4× 71 0.4× 421 3.1× 6 0.1× 59 669
M.A. Jack 285 0.7× 114 0.3× 99 0.6× 317 2.3× 8 0.1× 69 669

Countries citing papers authored by Xi Shao

Since Specialization
Citations

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

Fields of papers citing papers by Xi Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Shao. A scholar is included among the top collaborators of Xi Shao 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 Xi Shao. Xi Shao 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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2026