Guangsong Yang

409 citations
27 papers · 241 · h-index 8

Impact in

Papers in

Guangsong Yang

23 papers receiving 231 citations

Peers

Guangsong Yang
Comparison fields: 5 of 47
  • Control and Systems Engineering 65
  • Computer Networks and Communications 60
  • Media Technology 19
  • Computer Vision and Pattern Recognition 42
  • Analytical Chemistry 19
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Liang Gong China
Qun Lu China
Yuming Chen China
Xuebin Sun China
Mohammad-Taghi Vakil-Baghmisheh Iran
Kiattisin Kanjanawanishkul Thailand
Christophe Debain France
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Citations per field
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Citations per year

Countries citing papers authored by Guangsong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guangsong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guangsong Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guangsong Yang Line = papers co-authored together Guangsong Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 202237
3 201935
4 202314
5 200714
6 20229
7 20139
8 20227
9 20197
10 20236
11 20234
12 20214
13 20223
14 20093
15 20053
16 20232
17 20222
18 20241
19 20251
20 20221

About Guangsong Yang

Guangsong Yang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 27 papers that have together received 241 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Wireless Signal Modulation Classification (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Radar Systems and Signal Processing (2 papers), Water Quality Monitoring Technologies (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (65 citations), Computer Networks and Communications (60 citations), Media Technology (19 citations), Computer Vision and Pattern Recognition (42 citations) and Analytical Chemistry (19 citations). Guangsong Yang has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Qiubo Ye, Chia‐Chun Wu, Zhen Liu, Ying Li, Xin-Wen Wu, Mingbo Xiao, Ying Li, Chaoyang Chen, Shuqin Zhang and Zhenghua Xu. Their work appears in journals such as Applied Sciences, Electronics, IEEE Access, Wireless Networks and Journal of Information Security and Applications.

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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