Shanxiong Chen
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Genetics
- Topics
- Image Processing and 3D Reconstruction (18 papers)Handwritten Text Recognition Techniques (14 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Shanxiong Chen
60 papers receiving 431 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 153
- Computer Vision and Pattern Recognition 129
- Radiology, Nuclear Medicine and Imaging 83
- Biomedical Engineering 43
- Genetics 39
Countries citing papers authored by Shanxiong Chen
This map shows the geographic impact of Shanxiong 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 Shanxiong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanxiong Chen more than expected).
Fields of papers citing papers by Shanxiong Chen
This network shows the impact of papers produced by Shanxiong 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 Shanxiong Chen. The network helps show where Shanxiong Chen may publish in the future.
Co-authorship network of co-authors of Shanxiong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Shanxiong Chen. A scholar is included among the top collaborators of Shanxiong 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 Shanxiong Chen. Shanxiong 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 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | A high-dimensional feature selection method based on modified Gray Wolf Optimizationbreakdown → | 96 |
| 15 | 16 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | The Layout Analysis of Handwriting Characters and the Fusion of Multi-style Ancient Books’ Background | 1 |
| 19 | 2 | |
| 20 | 1 |
About Shanxiong Chen
Shanxiong Chen is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 66 papers that have together received 443 indexed citations. Recurring topics across this work include Image Processing and 3D Reconstruction (18 papers), Handwritten Text Recognition Techniques (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (129 citations), Space and Planetary Science (8 citations) and Health Informatics (8 citations). Shanxiong Chen has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Hailing Xiong, Hongyu Pan, Ben Niu, LI Ya, Yongmei Li, Yü Liu, Le Zhang, Ye Yang, Xiaogang Qiu and Liqiang Zhang. Their work appears in journals such as Scientific Reports, IEEE Access and Frontiers in Immunology.
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.