Shan Yang

1.6k total citations
53 papers, 743 citations indexed

About

Shan Yang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shan Yang has authored 53 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 23 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shan Yang's work include Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (17 papers). Shan Yang is often cited by papers focused on Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (17 papers). Shan Yang collaborates with scholars based in China, United States and United Kingdom. Shan Yang's co-authors include Lei Xie, Geng Yang, Dan Su, Yanbin Wang, Kai Zheng, Wei Chen, Zhu‐Hong You, Kai Liu, Peng Fang and Hai-Cheng Yi and has published in prestigious journals such as Scientific Reports, IEEE Access and Personality and Individual Differences.

In The Last Decade

Shan Yang

47 papers receiving 721 citations

Peers

Shan Yang
Comparison fields: 5 of 88
  • Artificial Intelligence 503
  • Signal Processing 344
  • Computer Vision and Pattern Recognition 121
  • Molecular Biology 74
  • Computational Theory and Mathematics 74
Replace Hiroki Nomiya with:
Hiroki Nomiya Japan
Cyril Allauzen United States
Takehito Utsuro Japan
Li Deng China
Vlad P. Shmerko Canada
Haichang Gao China
Gabor Simko United States
Ashish Ranjan India
Divya Gupta India
Eva Gibaja Spain
Hiroki Nomiya Japan View profile →
Citations per field, relative to Shan Yang
Shan Yang · 1×
Citations per year, relative to Shan Yang
Shan Yang · 1×

Countries citing papers authored by Shan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Yang. A scholar is included among the top collaborators of Shan Yang 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 Shan Yang. Shan Yang 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 0
2 1
3 1
4 3
5 0
6 17
7 3
8 1
9 2
10 4
11
Attention Bottlenecks for Multimodal Fusion
0
12 39
13 7
14 9
15 2
16 6
17 31
18 95
19 26
20 1

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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