Shiyuan Wang

7.2k total citations
411 papers, 5.1k citations indexed

About

Shiyuan Wang is a scholar working on Computational Mechanics, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Shiyuan Wang has authored 411 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computational Mechanics, 118 papers in Signal Processing and 69 papers in Artificial Intelligence. Recurrent topics in Shiyuan Wang's work include Advanced Adaptive Filtering Techniques (120 papers), Blind Source Separation Techniques (85 papers) and Speech and Audio Processing (77 papers). Shiyuan Wang is often cited by papers focused on Advanced Adaptive Filtering Techniques (120 papers), Blind Source Separation Techniques (85 papers) and Speech and Audio Processing (77 papers). Shiyuan Wang collaborates with scholars based in China, United States and Hong Kong. Shiyuan Wang's co-authors include Badong Chen, Chi K. Tse, Kui Xiong, Guobing Qian, Jiuchao Feng, Lei Yang, Yongchun Zuo, Lujuan Dang, Herbert Ho‐Ching Iu and Shukai Duan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shiyuan Wang

367 papers receiving 5.0k citations

Peers

Shiyuan Wang
Comparison fields: 5 of 194
  • Computational Mechanics 1.3k
  • Signal Processing 1.3k
  • Artificial Intelligence 909
  • Electrical and Electronic Engineering 815
  • Molecular Biology 699
Replace Francesco Piazza with:
Francesco Piazza Italy
Zhiguang Wang China
Hiroshi G. Okuno Japan
Yao Wang China
Yue Wang China
Ping Li China
Jingdong Chen China
Xin Li China
Jue Wang China
Yun Lin China
Francesco Piazza Italy View profile →
Citations per field, relative to Shiyuan Wang
Shiyuan Wang · 1×
Citations per year, relative to Shiyuan Wang
Shiyuan Wang · 1×

Countries citing papers authored by Shiyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shiyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyuan Wang. A scholar is included among the top collaborators of Shiyuan Wang 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 Shiyuan Wang. Shiyuan Wang 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 2
2 0
3 6
4 1
5 3
6 1
7 1
8 2
9 2
10 8
11 12
12 9
13 86
14 2
15 1
16 3
17 1
18 7
19 70
20 20

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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