Xiao-Yun Zhou
- Biomedical Engineering
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Topics
- Advanced Neural Network Applications (7 papers)Aortic aneurysm repair treatments (7 papers)Aortic Disease and Treatment Approaches (5 papers)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Xiao-Yun Zhou
32 papers receiving 458 citations
Peers
Comparison fields: 5 of 91
- Biomedical Engineering 164
- Surgery 109
- Radiology, Nuclear Medicine and Imaging 109
- Computer Vision and Pattern Recognition 106
- Artificial Intelligence 104
Countries citing papers authored by Xiao-Yun Zhou
This map shows the geographic impact of Xiao-Yun Zhou'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 Xiao-Yun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Yun Zhou more than expected).
Fields of papers citing papers by Xiao-Yun Zhou
This network shows the impact of papers produced by Xiao-Yun Zhou. 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 Xiao-Yun Zhou. The network helps show where Xiao-Yun Zhou may publish in the future.
Co-authorship network of co-authors of Xiao-Yun Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Yun Zhou. A scholar is included among the top collaborators of Xiao-Yun Zhou 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 Xiao-Yun Zhou. Xiao-Yun Zhou 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 | 1 | |
| 4 | 2 | |
| 5 | 100 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 112 | |
| 9 | 2 | |
| 10 | Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps. | 3 |
| 11 | Atrous Convolutional Neural Network (ACNN) for Semantic Image Segmentation with full-scale Feature Maps | 2 |
| 12 | 14 | |
| 13 | 14 | |
| 14 | 55 | |
| 15 | 7 | |
| 16 | Focal FCN: Towards Biomedical Small Object Segmentation with Limited Training Data | 1 |
| 17 | Focal FCN: Towards Small Object Segmentation with Limited Training Data. | 11 |
| 18 | 12 | |
| 19 | 12 | |
| 20 | Distributed clustering algorithm based on feature vector | 1 |
About Xiao-Yun Zhou
Xiao-Yun Zhou is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Signal Processing, having authored 34 papers that have together received 473 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Aortic aneurysm repair treatments (7 papers) and Aortic Disease and Treatment Approaches (5 papers). The work is most often cited by research in Health Informatics (76 citations), Orthopedics and Sports Medicine (47 citations) and Computer Vision and Pattern Recognition (106 citations). Xiao-Yun Zhou has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Guang‐Zhong Yang, Mali Shen, Yao Guo, Lee Su-Lin, Jian-Qing Zheng, Celia Riga, Le Lü, Ling Mei, Fang‐Ping Chen and Kang Zheng. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and Chemical Physics 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.