Dan Shao

527 total citations
32 papers, 239 citations indexed

About

Dan Shao is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dan Shao has authored 32 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dan Shao's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (6 papers) and Cardiac tumors and thrombi (4 papers). Dan Shao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (6 papers) and Cardiac tumors and thrombi (4 papers). Dan Shao collaborates with scholars based in China and United States. Dan Shao's co-authors include Shuxia Wang, Changhong Liang, Qiang Gao, Yanshan Sheng, Qiang Gao, Yong Kong, Entao Liu, Donglan Luo, Gang Chen and Zhishan Yuan and has published in prestigious journals such as International Journal of Biological Macromolecules, Medical Physics and European Radiology.

In The Last Decade

Dan Shao

29 papers receiving 236 citations

Peers

Dan Shao
Comparison fields: 5 of 71
  • Pulmonary and Respiratory Medicine 66
  • Radiology, Nuclear Medicine and Imaging 56
  • Surgery 44
  • Cardiology and Cardiovascular Medicine 44
  • Biomedical Engineering 39
Replace Xiaolin Liu with:
Xiaolin Liu China
Donghong Shi China
Shaojun Liu China
Sho Takeda Japan
Andrew D. Riddell Australia
Monica M. Matsumoto United States
Katharina Wassilew Germany
Charanjit Khurana United States
Xiaolin Liu China View profile →
Citations per field, relative to Dan Shao
Dan Shao · 1×
Citations per year, relative to Dan Shao
Dan Shao · 1×

Countries citing papers authored by Dan Shao

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Shao. A scholar is included among the top collaborators of Dan Shao 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 Dan Shao. Dan Shao 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
# Work Indexed citations
1 2
2 0
3 0
4 1
5 2
6 13
7 1
8 46
9 8
10 10
11 8
12 8
13 12
14 6
15 8
16 13
17 26
18
Application of Contingent Valuation Method on Evaluating Urban Management Policy:A Contingent Valuation on Potential Congestion Charge During the Peak Hour in Hangzhou City
2
19 6
20 35

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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