Xi Shao

1.1k citations
58 papers · 751 indexed · h-index 13
Topics
Music and Audio Processing (18 papers)Speech and Audio Processing (14 papers)Music Technology and Sound Studies (11 papers)

In The Last Decade

Xi Shao

55 papers receiving 682 citations

Peers

Xi Shao
Comparison fields: 5 of 64
  • Signal Processing 389
  • Computer Vision and Pattern Recognition 344
  • Electrical and Electronic Engineering 174
  • Artificial Intelligence 136
  • Mechanical Engineering 70
Replace Philippe Hamel with:
Philippe Hamel France
Xinyuan Qian Singapore
Antoine Liutkus France
Egon Pasztor United States
Thomas Arildsen Denmark
Minghui Du China
Oran Lang Israel
Chanwoo Kim United States
Scott Wisdom United States
Xiefeng Cheng China
Xi Shao relative to Philippe Hamel France Philippe Hamel's profile →
Citations per field
00.5×5.4×
Philippe Hamel · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 4
3 11
4 5
5
Ground-state blockade of Rydberg atoms and application to multipartite entanglement
1
6
Dissipative preparation of steady GHZ state for Rydberg atoms with quantum Zeno dynamics
1
7 24
8 22
9 1
10 1
11 7
12 5
13 0
14 3
15 1
16 2
17 3
18 101
19 10
20
Image mosaics base on homogeneous coordinates
3

About Xi Shao

Xi Shao is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 58 papers that have together received 751 indexed citations. Recurring topics across this work include Music and Audio Processing (18 papers), Speech and Audio Processing (14 papers) and Music Technology and Sound Studies (11 papers). The work is most often cited by research in Signal Processing (389 citations), Computer Vision and Pattern Recognition (344 citations) and Music (31 citations). Xi Shao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Changsheng Xu, Namunu C. Maddage, Mohan Kankanhalli, Neil Goldsman, G. Metze, Fang Cao, Qi Tian, Bo Li, Bing‐Kun Bao and X. X. Yi. Their work appears in journals such as Journal of Applied Physics, Monthly Weather Review and IEEE Access.

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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