Qingsong Yang

3.4k citations
60 papers · 2.1k indexed · 1 hit paper · h-index 16
Topics
Medical Imaging Techniques and Applications (22 papers)Advanced X-ray and CT Imaging (17 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEClinical Cancer Research

In The Last Decade

Qingsong Yang

57 papers receiving 2.0k citations

Hit Papers

Low-Dose CT Image Denoising Using a Generative Adversaria...201820262020202320182505007501000

Peers

Qingsong Yang
Comparison fields: 5 of 134
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Biomedical Engineering 962
  • Computer Vision and Pattern Recognition 605
  • Artificial Intelligence 159
  • Pulmonary and Respiratory Medicine 148
Replace Xiaodong Yang with:
Xiaodong Yang China
Tina Kapur United States
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Wu Qiu Canada
Leonardo S. Mattos Italy
Hongzan Sun China
Eduardo Romero Colombia
Liangqiong Qu China
Jonghye Woo United States
Ali Uneri United States
Qingsong Yang relative to Xiaodong Yang China Xiaodong Yang's profile →
Citations per field
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Xiaodong Yang · 1×
Citations per year

Countries citing papers authored by Qingsong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qingsong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingsong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingsong Yang. A scholar is included among the top collaborators of Qingsong Yang 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 Qingsong Yang. Qingsong Yang 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 2
3 3
4 1
5 1
6 0
7 3
8 4
9 2
10 14
11 22
12 2
13 8
14
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Lossbreakdown →
1071
15 183
16 2
17 57
18 2
19 26
20 24

About Qingsong Yang

Qingsong Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (22 papers), Advanced X-ray and CT Imaging (17 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Computer Vision and Pattern Recognition (605 citations) and Biomedical Engineering (962 citations). Qingsong Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ge Wang, Yi Zhang, Mannudeep K. Kalra, Ling Sun, Pingkun Yan, Xuanqin Mou, Yanbo Zhang, Hengyong Yu, Yongyi Shi and Yan Xi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Cancer Research.

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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