Qingwei Song

523 citations
42 papers · 348 indexed · h-index 12
Topics
MRI in cancer diagnosis (12 papers)Advanced MRI Techniques and Applications (11 papers)Advanced Neuroimaging Techniques and Applications (8 papers)

In The Last Decade

Qingwei Song

39 papers receiving 345 citations

Peers

Qingwei Song
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 217
  • Pulmonary and Respiratory Medicine 63
  • Hepatology 61
  • Biomedical Engineering 38
  • Neurology 37
Replace Daniella Braz Parente with:
Daniella Braz Parente Brazil
Chia Hung Kao Taiwan
Florian Siedek Germany
Eva Evangelista France
Eun Seong Lee South Korea
Luis Ramos Spain
Sara Pourhassan Shamchi United States
Daniela Benedeto-Stojanov Serbia
Lamiaa El-Serougy Egypt
Youquan Cai China
Qingwei Song relative to Daniella Braz Parente Brazil Daniella Braz Parente's profile →
Citations per field
00.5×4.8×
Daniella Braz Parente · 1×
Citations per year

Countries citing papers authored by Qingwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Qingwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingwei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Qingwei Song. A scholar is included among the top collaborators of Qingwei 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 Qingwei Song. Qingwei 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 12
3 1
4 4
5 1
6 1
7 2
8 5
9 5
10 1
11 22
12 2
13 16
14 27
15 4
16 7
17 15
18 3
19 2
20
Spinal epidural cavernous hemangioma: MR findings
4

About Qingwei Song

Qingwei Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Obstetrics and Gynecology, having authored 42 papers that have together received 348 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (12 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (217 citations), Hepatology (61 citations) and Obstetrics and Gynecology (37 citations). Qingwei Song has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Ailian Liu, Yanwei Miao, Lizhi Xie, Ying Zhao, Yan Guo, Weiwei Wang, Jinghong Liu, Anliang Chen, Lina Zhang and Qiang Wei. Their work appears in journals such as Medicine, Nano Today and American Journal of Neuroradiology.

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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