Song Sun

1.1k total citations · 1 hit paper
14 papers, 760 citations indexed

About

Song Sun is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Song Sun has authored 14 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Networks and Communications. Recurrent topics in Song Sun's work include Retinal Imaging and Analysis (4 papers), Digital Imaging for Blood Diseases (3 papers) and Retinal Diseases and Treatments (3 papers). Song Sun is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Digital Imaging for Blood Diseases (3 papers) and Retinal Diseases and Treatments (3 papers). Song Sun collaborates with scholars based in China, Pakistan and Canada. Song Sun's co-authors include Junhao Wen, Muhammad Mateen, Nasrullah Nasrullah, Shaukat Hayat, Fusheng Pan, Jian Peng, Mehdi Hassan, Yongjian Wang, Liping Zhong and Yun Lu and has published in prestigious journals such as IEEE Access, Sensors and Medical Image Analysis.

In The Last Decade

Song Sun

12 papers receiving 728 citations

Hit Papers

Fundus Image Classification Using VGG-19 Architecture wit... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Song Sun
Comparison fields: 5 of 121
  • Radiology, Nuclear Medicine and Imaging 294
  • Computer Vision and Pattern Recognition 217
  • Ophthalmology 163
  • Artificial Intelligence 119
  • Mechanical Engineering 117
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Citations per field, relative to Song Sun
Song Sun · 1×
Citations per year, relative to Song Sun
Song Sun · 1×

Countries citing papers authored by Song Sun

Since Specialization
Citations

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

Fields of papers citing papers by Song Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Sun

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 4
2 0
3 0
4 13
5 10
6 13
7 30
8 3
9 79
10 82
11 6
12
Fundus Image Classification Using VGG-19 Architecture with PCA and SVD breakdown →
444
13 3
14 73

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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