Chenyang Xu
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Neurology top 5%
- Co-authors
- Jerry L. PrinceDzung L. PhamJean‐Marc PeyratNicholas AyacheHervé DelingetteMaxime SermesantChristoph GuetterMikaël Rousson
- Topics
- Medical Image Segmentation Techniques (12 papers)Advanced Vision and Imaging (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Chenyang Xu
25 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 1.5k
- Radiology, Nuclear Medicine and Imaging 612
- Artificial Intelligence 461
- Biomedical Engineering 364
- Neurology 237
Countries citing papers authored by Chenyang Xu
This map shows the geographic impact of Chenyang 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 Chenyang Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyang Xu more than expected).
Fields of papers citing papers by Chenyang Xu
This network shows the impact of papers produced by Chenyang 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 Chenyang Xu. The network helps show where Chenyang Xu may publish in the future.
Co-authorship network of co-authors of Chenyang Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Chenyang Xu. A scholar is included among the top collaborators of Chenyang 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 Chenyang Xu. Chenyang 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 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 30 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 12 | |
| 12 | Critical Media Literacy and Civic Learning | 0 |
| 13 | 12 | |
| 14 | 57 | |
| 15 | 24 | |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 15 | |
| 19 | 2 | |
| 20 | Current Methods in Medical Image Segmentationbreakdown → | 1527 |
About Chenyang Xu
Chenyang Xu is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Biophysics, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Neurology (237 citations) and Radiology, Nuclear Medicine and Imaging (612 citations). Chenyang Xu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jerry L. Prince, Dzung L. Pham, Jean‐Marc Peyrat, Nicholas Ayache, Hervé Delingette, Maxime Sermesant, Christoph Guetter, Mikaël Rousson, Frank Sauer and Rui Liao. Their work appears in journals such as IEEE Transactions on Medical Imaging, BMC Bioinformatics and Neural Networks.
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.