Wenyu Xing

677 total citations
46 papers, 457 citations indexed

About

Wenyu Xing is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenyu Xing has authored 46 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenyu Xing's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Ultrasound in Clinical Applications (8 papers) and COVID-19 diagnosis using AI (7 papers). Wenyu Xing is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Ultrasound in Clinical Applications (8 papers) and COVID-19 diagnosis using AI (7 papers). Wenyu Xing collaborates with scholars based in China, Hong Kong and United States. Wenyu Xing's co-authors include Na Deng, Binjie Xin, Zhengye Zhang, Shifeng Zhao, Jieyu Chen, Yulong Bai, Yinina Ma, Zhen Ma, Yiwen Liu and Dean Ta and has published in prestigious journals such as Chemical Engineering Journal, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Wenyu Xing

42 papers receiving 454 citations

Peers

Wenyu Xing
Comparison fields: 5 of 87
  • Industrial and Manufacturing Engineering 96
  • Radiology, Nuclear Medicine and Imaging 94
  • Electronic, Optical and Magnetic Materials 89
  • Materials Chemistry 89
  • Computer Vision and Pattern Recognition 86
Replace Lipeng Xie with:
Lipeng Xie China
Delei Chen United States
Ling Luo China
Yang Huang China
Yajuan Zhang China
D. Babot France
Haoyu Zhu China
Shuyue Chen China
Guangtai Ding China
Lipeng Xie China View profile →
Citations per field, relative to Wenyu Xing
Wenyu Xing · 1×
Citations per year, relative to Wenyu Xing
Wenyu Xing · 1×

Countries citing papers authored by Wenyu Xing

Since Specialization
Citations

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

Fields of papers citing papers by Wenyu Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyu Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyu Xing. A scholar is included among the top collaborators of Wenyu Xing 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 Wenyu Xing. Wenyu Xing 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 4
2 5
3 10
4 1
5 1
6 5
7 2
8 6
9 19
10 1
11 2
12 9
13 1
14 19
15 21
16 15
17 13
18 29
19 17
20 4

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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