Xiangyang Xu
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Co-authors
- Enmin SongHong LiuGuangzhi MaChih‐Cheng HungRenchao JinHaichao CaoLianghai JinHongmei Zhou
- Topics
- Medical Image Segmentation Techniques (18 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)Image and Signal Denoising Methods (13 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionMedia Technology
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiangyang Xu
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Radiology, Nuclear Medicine and Imaging 553
- Computer Vision and Pattern Recognition 392
- Pulmonary and Respiratory Medicine 379
- Artificial Intelligence 215
- Media Technology 130
Countries citing papers authored by Xiangyang Xu
This map shows the geographic impact of Xiangyang 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 Xiangyang Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangyang Xu more than expected).
Fields of papers citing papers by Xiangyang Xu
This network shows the impact of papers produced by Xiangyang 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 Xiangyang Xu. The network helps show where Xiangyang Xu may publish in the future.
Co-authorship network of co-authors of Xiangyang Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangyang Xu. A scholar is included among the top collaborators of Xiangyang 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 Xiangyang Xu. Xiangyang 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 | 2 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 55 | |
| 10 | 11 | |
| 11 | 70 | |
| 12 | 99 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 52 | |
| 16 | 4 | |
| 17 | 25 | |
| 18 | Content-based Image Retrieval for Computer-aided Detection of Mammographic Masses | 2 |
| 19 | 12 | |
| 20 | 22 |
About Xiangyang Xu
Xiangyang Xu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (553 citations), Computer Vision and Pattern Recognition (392 citations) and Media Technology (130 citations). Xiangyang Xu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Enmin Song, Hong Liu, Guangzhi Ma, Chih‐Cheng Hung, Renchao Jin, Haichao Cao, Lianghai Jin, Hongmei Zhou, Zhentao Zuo and Xinyao Cheng. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.
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.