Shuxiang Song

1.6k citations
108 papers · 1.1k indexed · h-index 20
Topics
Analog and Mixed-Signal Circuit Design (12 papers)Radio Frequency Integrated Circuit Design (11 papers)Quantum Computing Algorithms and Architecture (10 papers)
Partner nations
ChinaAustraliaMontenegro

In The Last Decade

Shuxiang Song

97 papers receiving 1.1k citations

Peers

Shuxiang Song
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 410
  • Artificial Intelligence 351
  • Electrical and Electronic Engineering 264
  • Biomedical Engineering 165
  • Materials Chemistry 153
Replace Alexander Fish with:
Alexander Fish Israel
Jing Pei China
Shouliang Li China
Fengbo Ren United States
David Fick United States
Jae‐Joon Kim South Korea
Haiying Xia China
Saurabh Chaudhury India
Wenjian Yu China
Li Luo China
Shuxiang Song relative to Alexander Fish Israel Alexander Fish's profile →
Citations per field
00.5×8.5×
Alexander Fish · 1×
Citations per year

Countries citing papers authored by Shuxiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Shuxiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxiang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shuxiang Song. A scholar is included among the top collaborators of Shuxiang Song 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 Shuxiang Song. Shuxiang Song 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 0
2 1
3 0
4 1
5 1
6 8
7 5
8 2
9 3
10 4
11 2
12 3
13 2
14 4
15 0
16 1
17 10
18 37
19 18
20 1

About Shuxiang Song

Shuxiang Song is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Artificial Intelligence, having authored 108 papers that have together received 1.1k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (12 papers), Radio Frequency Integrated Circuit Design (11 papers) and Quantum Computing Algorithms and Architecture (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (410 citations), Artificial Intelligence (351 citations) and Computational Theory and Mathematics (138 citations). Shuxiang Song has collaborated with scholars based in China, Australia and Montenegro. Frequent co-authors include Haiying Xia, Hai-Sheng Li, Ping Fan, Huiling Peng, Beibei He, Changrong Xia, Ling Zhao, Yunqi Liu, Yuling Luo and Junxiu Liu. Their work appears in journals such as Journal of The Electrochemical Society, Scientific Reports and Carbon.

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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