Guanyu Yang
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Co-authors
- Yang ChenHuazhong ShuXiaoming QiLimin LuoYaolei QiJean-Louis CoatrieuxYuting HeYuan Zhang
- Topics
- Advanced X-ray and CT Imaging (27 papers)Medical Image Segmentation Techniques (25 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchIEEE Transactions on Image Processing
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Guanyu Yang
115 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Radiology, Nuclear Medicine and Imaging 952
- Computer Vision and Pattern Recognition 734
- Biomedical Engineering 505
- Pulmonary and Respiratory Medicine 379
- Artificial Intelligence 287
Countries citing papers authored by Guanyu Yang
This map shows the geographic impact of Guanyu Yang'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 Guanyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanyu Yang more than expected).
Fields of papers citing papers by Guanyu Yang
This network shows the impact of papers produced by Guanyu Yang. 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 Guanyu Yang. The network helps show where Guanyu Yang may publish in the future.
Co-authorship network of co-authors of Guanyu Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Guanyu Yang. A scholar is included among the top collaborators of Guanyu Yang 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 Guanyu Yang. Guanyu Yang 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 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 23 | |
| 19 | 5 | |
| 20 | 119 |
About Guanyu Yang
Guanyu Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 122 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (27 papers), Medical Image Segmentation Techniques (25 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (952 citations), Computer Vision and Pattern Recognition (734 citations) and Health Informatics (20 citations). Guanyu Yang has collaborated with scholars based in China, France and United States. Frequent co-authors include Yang Chen, Huazhong Shu, Xiaoming Qi, Limin Luo, Yaolei Qi, Jean-Louis Coatrieux, Yuting He, Yuan Zhang, Rongjun Ge and Shuo Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and IEEE Transactions on Image Processing.
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.