Ziyue Xu
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Biomedical Engineering top 5%
- Co-authors
- Daniel J. MolluraHolger R. RothMingchen GaoRonald M. SummersLe LüJianhua YaoHoo-Chang ShinIsabella Nogues
- Topics
- Radiomics and Machine Learning in Medical Imaging (26 papers)Medical Image Segmentation Techniques (17 papers)Medical Imaging Techniques and Applications (14 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLANT PHYSIOLOGYThe Journal of Urology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ziyue Xu
68 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Radiology, Nuclear Medicine and Imaging 3.0k
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 1.9k
- Pulmonary and Respiratory Medicine 995
- Biomedical Engineering 814
Countries citing papers authored by Ziyue Xu
This map shows the geographic impact of Ziyue 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 Ziyue Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziyue Xu more than expected).
Fields of papers citing papers by Ziyue Xu
This network shows the impact of papers produced by Ziyue 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 Ziyue Xu. The network helps show where Ziyue Xu may publish in the future.
Co-authorship network of co-authors of Ziyue Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Ziyue Xu. A scholar is included among the top collaborators of Ziyue 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 Ziyue Xu. Ziyue 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 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 29 | |
| 7 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japanbreakdown → | 176 |
| 8 | 31 | |
| 9 | 48 | |
| 10 | Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformationbreakdown → | 288 |
| 11 | Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings | 4 |
| 12 | 33 | |
| 13 | 11 | |
| 14 | 30 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 259 | |
| 18 | 118 | |
| 19 | 8 | |
| 20 | 2 |
About Ziyue Xu
Ziyue Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 6.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Image Segmentation Techniques (17 papers) and Medical Imaging Techniques and Applications (14 papers). The work is most often cited by research in Health Informatics (249 citations), Radiology, Nuclear Medicine and Imaging (3.0k citations) and Computer Vision and Pattern Recognition (1.9k citations). Ziyue Xu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel J. Mollura, Holger R. Roth, Mingchen Gao, Ronald M. Summers, Le Lü, Jianhua Yao, Hoo-Chang Shin, Isabella Nogues, Ulaş Bağcı and Brent Foster. Their work appears in journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and The Journal of Urology.
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.