Guidong Song

1.2k citations
13 papers · 831 indexed · 1 hit paper · h-index 9
Topics
Meningioma and schwannoma management (3 papers)Cancer, Hypoxia, and Metabolism (2 papers)Glioma Diagnosis and Treatment (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Guidong Song

13 papers receiving 808 citations

Hit Papers

A deep learning model integrating FCNNs and CRFs for brai...20172026202020232017100200300400500

Peers

Guidong Song
Comparison fields: 5 of 93
  • Neurology 431
  • Computer Vision and Pattern Recognition 418
  • Radiology, Nuclear Medicine and Imaging 216
  • Artificial Intelligence 171
  • Genetics 88
Replace Alfiia Galimzianova with:
Alfiia Galimzianova United States
Yusong Lin China
Dong Soo Yoo South Korea
Yu‐Chuan Hu China
Hai‐Yan Nan China
Boqiang Liu China
Tryphon Lambrou United Kingdom
Jiawei Sun China
Spiros Kostopoulos Greece
Barbara Bobek‐Billewicz Poland
Guidong Song relative to Alfiia Galimzianova United States Alfiia Galimzianova's profile →
Citations per field
00.5×3.8×
Alfiia Galimzianova · 1×
Citations per year

Countries citing papers authored by Guidong Song

Since Specialization
Citations

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

Fields of papers citing papers by Guidong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guidong Song

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 4
3 31
4 8
5 64
6 38
7 6
8
A deep learning model integrating FCNNs and CRFs for brain tumor segmentationbreakdown →
593
9 10
10 9
11 16
12 22
13 26

About Guidong Song

Guidong Song is a scholar working on Neurology, Ophthalmology and Cancer Research, having authored 13 papers that have together received 831 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Neurology (431 citations), Computer Vision and Pattern Recognition (418 citations) and Radiology, Nuclear Medicine and Imaging (216 citations). Guidong Song has collaborated with scholars based in China and United States. Frequent co-authors include Yazhuo Zhang, Zhenye Li, Yong Fan, Xiaomei Zhao, Chuzhong Li, Jiaping Zheng, Jie Tian, Chao Wang, Jian Jia and Shuaitong Zhang. Their work appears in journals such as Scientific Reports, Oncotarget and Medical Image Analysis.

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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