Shuyu Shi

800 citations
15 papers · 616 indexed · h-index 13
Topics
Indoor and Outdoor Localization Technologies (11 papers)Context-Aware Activity Recognition Systems (8 papers)Speech and Audio Processing (5 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Vehicular TechnologyChaos Solitons & Fractals
Partner nations
JapanGermanyChina

In The Last Decade

Shuyu Shi

14 papers receiving 603 citations

Peers

Shuyu Shi
Comparison fields: 5 of 42
  • Electrical and Electronic Engineering 520
  • Computer Networks and Communications 210
  • Computer Vision and Pattern Recognition 185
  • Signal Processing 175
  • Biomedical Engineering 139
Replace Xiaolong Yang with:
Xiaolong Yang China
Sameera Palipana Finland
Niranjini Rajagopal United States
Huai-Rong Shao United States
Yuxi Wang China
Xin He China
François Marx France
Biyun Sheng China
Sankalp Dayal United States
Shuyu Shi relative to Xiaolong Yang China Xiaolong Yang's profile →
Citations per field
00.5×10×14.3×
Xiaolong Yang · 1×
Citations per year

Countries citing papers authored by Shuyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shuyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyu Shi. A scholar is included among the top collaborators of Shuyu Shi 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 Shuyu Shi. Shuyu Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 15
2 19
3 1
4 12
5 116
6 21
7 22
8 27
9 4
10 21
11 33
12 204
13 87
14 22
15 12

About Shuyu Shi

Shuyu Shi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 15 papers that have together received 616 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (11 papers), Context-Aware Activity Recognition Systems (8 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (175 citations), Computer Networks and Communications (210 citations) and Computer Vision and Pattern Recognition (185 citations). Shuyu Shi has collaborated with scholars based in Japan, Germany and China. Frequent co-authors include Yusheng Ji, Stephan Sigg, Michael Beigl, Markus Scholz, Lin Chen, Lars Wolf, Lin Chen, Wenjun Hu, Marco Gruteser and Wei Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and Chaos Solitons & Fractals.

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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