Shengzhou Xu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 5%
- Biomedical Engineering
- Co-authors
- Enmin SongLianghai JinXiangyang XuHong LiuJun TieWei LiLu HuangLiman Liu
- Topics
- AI in cancer detection (11 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Medical Image Segmentation Techniques (8 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Shengzhou Xu
17 papers receiving 668 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 286
- Artificial Intelligence 175
- Radiology, Nuclear Medicine and Imaging 168
- Media Technology 92
- Biomedical Engineering 70
Countries citing papers authored by Shengzhou Xu
This map shows the geographic impact of Shengzhou Xu'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 Shengzhou Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengzhou Xu more than expected).
Fields of papers citing papers by Shengzhou Xu
This network shows the impact of papers produced by Shengzhou Xu. 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 Shengzhou Xu. The network helps show where Shengzhou Xu may publish in the future.
Co-authorship network of co-authors of Shengzhou Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Shengzhou Xu. A scholar is included among the top collaborators of Shengzhou Xu 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 Shengzhou Xu. Shengzhou Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 62 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 30 | |
| 13 | 64 | |
| 14 | 7 | |
| 15 | Characteristic analysis of Otsu threshold and its applicationsbreakdown → | 439 |
| 16 | 25 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | Non-rigid Mammogram Registration Based on Improved Demons Algorithm | 1 |
| 20 | 4 |
About Shengzhou Xu
Shengzhou Xu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 699 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Media Technology (92 citations) and Biophysics (42 citations). Shengzhou Xu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Enmin Song, Lianghai Jin, Xiangyang Xu, Hong Liu, Jun Tie, Xiangyang Xu, Wei Li, Lu Huang, Liman Liu and Zhiyong Gao. Their work appears in journals such as PLoS ONE, IEEE Access and Pattern Recognition Letters.
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.