Wu‐Chung Shen

1.6k total citations
68 papers, 1.1k citations indexed

About

Wu‐Chung Shen is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wu‐Chung Shen has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wu‐Chung Shen's work include Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (4 papers). Wu‐Chung Shen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (4 papers). Wu‐Chung Shen collaborates with scholars based in Taiwan, United States and Canada. Wu‐Chung Shen's co-authors include Jeon‐Hor Chen, Yu-Len Huang, Woei‐Cherng Shyu, Chia‐Hung Hsieh, Juei‐Jueng Lin, Ren-Shyan Liu, Lie‐Gan Chia, Jian‐Sheng Jan, Wei‐Ching Lin and Tung‐Wu Lu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Wu‐Chung Shen

64 papers receiving 1.1k citations

Peers

Wu‐Chung Shen
Comparison fields: 5 of 117
  • Surgery 293
  • Neurology 219
  • Radiology, Nuclear Medicine and Imaging 185
  • Oncology 148
  • Pulmonary and Respiratory Medicine 128
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Citations per field, relative to Wu‐Chung Shen
Wu‐Chung Shen · 1×
Citations per year, relative to Wu‐Chung Shen
Wu‐Chung Shen · 1×

Countries citing papers authored by Wu‐Chung Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wu‐Chung Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wu‐Chung Shen. 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 Wu‐Chung Shen. The network helps show where Wu‐Chung Shen may publish in the future.

Co-authorship network of co-authors of Wu‐Chung Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Wu‐Chung Shen. A scholar is included among the top collaborators of Wu‐Chung Shen 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 Wu‐Chung Shen. Wu‐Chung Shen 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 1
2 9
3 1
4 3
5 10
6 10
7
The Influence of Type of Community Organization on Service-learning in Medical Students
1
8 40
9 5
10 1
11 82
12 75
13 0
14 5
15
Diagnosis of A large Left Paraduodenal Hernia: a case report
1
16 4
17 6
18 7
19 4
20 0

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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