Ge Wen

1.0k total citations
43 papers, 598 citations indexed

About

Ge Wen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Ge Wen has authored 43 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Ge Wen's work include Functional Brain Connectivity Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Ge Wen is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Ge Wen collaborates with scholars based in China, Hong Kong and United States. Ge Wen's co-authors include Xuegang Sun, Liang Zhao, Yawei Liu, Linlin Jing, Ping Zeng, Qin Fan, Xiu‐Qiong Fu, Xiaofei Lv, Yingjia Li and Kun Li and has published in prestigious journals such as PLoS ONE, Psychological Medicine and Journal of Ethnopharmacology.

In The Last Decade

Ge Wen

40 papers receiving 593 citations

Peers

Ge Wen
Comparison fields: 5 of 78
  • Molecular Biology 213
  • Pharmacology 94
  • Radiology, Nuclear Medicine and Imaging 91
  • Genetics 80
  • Cognitive Neuroscience 77
Kelly Ceyzériat Switzerland
Joseph M. Martinez United States
Chuen‐Lin Huang Taiwan
Izabela Rozenberg Switzerland
Ren‐Shyan Liu Taiwan
Miguel Mendivil‐Perez Colombia
Amir Dori Israel
Shuiqing Huang China
Mohan S. Nandhu India
Sean M. Riordan United States
Kelly Ceyzériat Switzerland View profile →
Citations per field, relative to Ge Wen
Ge Wen · 1×
Citations per year, relative to Ge Wen
Ge Wen · 1×

Countries citing papers authored by Ge Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ge Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Wen. A scholar is included among the top collaborators of Ge Wen 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 Ge Wen. Ge Wen 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 0
2 2
3 1
4 1
5 0
6 2
7 2
8 3
9 5
10 11
11 4
12 3
13 35
14 16
15 38
16 15
17 39
18 26
19 14
20
An ~1H-MRS study on radioencephalopathy caused by radiotherapy of nasopharyngeal carcinoma
2

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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