Xiaowei Chen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Computer Networks and Communications top 10%
- Co-authors
- Liming HuXueling LouHeng-Da ChengXiaobing GuoQiaohui ZengHecheng MengXiaoming GuoXiaowen Chu
- Topics
- Peer-to-Peer Network Technologies (6 papers)Caching and Content Delivery (6 papers)Internet Traffic Analysis and Secure E-voting (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessPattern Recognition
In The Last Decade
Xiaowei Chen
26 papers receiving 566 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 359
- Computer Vision and Pattern Recognition 238
- Radiology, Nuclear Medicine and Imaging 171
- Molecular Biology 91
- Computer Networks and Communications 60
Countries citing papers authored by Xiaowei Chen
This map shows the geographic impact of Xiaowei Chen'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 Xiaowei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Chen more than expected).
Fields of papers citing papers by Xiaowei Chen
This network shows the impact of papers produced by Xiaowei Chen. 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 Xiaowei Chen. The network helps show where Xiaowei Chen may publish in the future.
Co-authorship network of co-authors of Xiaowei Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Chen. A scholar is included among the top collaborators of Xiaowei Chen 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 Xiaowei Chen. Xiaowei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 54 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | 9 | |
| 20 | 1 |
About Xiaowei Chen
Xiaowei Chen is a scholar working on Computer Networks and Communications, Hematology and Rheumatology, having authored 27 papers that have together received 616 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (6 papers), Caching and Content Delivery (6 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (238 citations), Artificial Intelligence (359 citations) and Radiology, Nuclear Medicine and Imaging (171 citations). Xiaowei Chen has collaborated with scholars based in China, Hong Kong and Iran. Frequent co-authors include Liming Hu, Xueling Lou, Heng-Da Cheng, Xiaobing Guo, Qiaohui Zeng, Hecheng Meng, Xiaoming Guo, Xiaowen Chu, Shujuan Yu and Xiaobin Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.
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.