Guoli Song

1.0k citations
59 papers · 734 indexed · h-index 16
Topics
Brain Tumor Detection and Classification (11 papers)Advanced Neural Network Applications (11 papers)Medical Image Segmentation Techniques (7 papers)
Journals
SHILAP Revista de lepidopterologíaSmallIEEE Access

In The Last Decade

Guoli Song

54 papers receiving 709 citations

Peers

Guoli Song
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 242
  • Biomedical Engineering 188
  • Neurology 146
  • Radiology, Nuclear Medicine and Imaging 108
  • Artificial Intelligence 97
Replace Chuchart Pintavirooj with:
Chuchart Pintavirooj Thailand
Aldo Marzullo Italy
Bogdan J. Matuszewski United Kingdom
Jingxin Liu China
Matthias Wilms Canada
Marta Kersten‐Oertel Canada
Lik‐Kwan Shark United Kingdom
Hong‐Seng Gan Malaysia
Wenjun Tan China
Franziska Mathis-Ullrich Germany
Guoli Song relative to Chuchart Pintavirooj Thailand Chuchart Pintavirooj's profile →
Citations per field
00.5×7.7×
Chuchart Pintavirooj · 1×
Citations per year

Countries citing papers authored by Guoli Song

Since Specialization
Citations

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

Fields of papers citing papers by Guoli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoli Song

This figure shows the co-authorship network connecting the top 25 collaborators of Guoli Song. A scholar is included among the top collaborators of Guoli 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 Guoli Song. Guoli 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 0
3 1
4 5
5 0
6 1
7 18
8 0
9 4
10 11
11 10
12 13
13 68
14 34
15 2
16 8
17 23
18 56
19 3
20 24

About Guoli Song

Guoli Song is a scholar working on Neurology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 59 papers that have together received 734 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (11 papers), Advanced Neural Network Applications (11 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Neurology (146 citations), Computer Vision and Pattern Recognition (242 citations) and Human-Computer Interaction (54 citations). Guoli Song has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Yiwen Zhao, Jianda Han, Zheng Huang, Xingang Zhao, Yunhui Liu, Tangwen Yang, Zheng Wang, Peng Li, Yijun Zou and Wei Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Small and IEEE Access.

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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