Cong Yang
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Food Science
- Topics
- Medical Image Segmentation Techniques (5 papers)Domain Adaptation and Few-Shot Learning (4 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Cong Yang
42 papers receiving 456 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 96
- Artificial Intelligence 84
- Biomedical Engineering 60
- Radiology, Nuclear Medicine and Imaging 58
- Food Science 52
Countries citing papers authored by Cong Yang
This map shows the geographic impact of Cong 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 Cong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Yang more than expected).
Fields of papers citing papers by Cong Yang
This network shows the impact of papers produced by Cong 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 Cong Yang. The network helps show where Cong Yang may publish in the future.
Co-authorship network of co-authors of Cong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Cong Yang. A scholar is included among the top collaborators of Cong 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 Cong Yang. Cong 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 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 20 | |
| 9 | 36 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 29 | |
| 18 | 21 | |
| 19 | 2 | |
| 20 | 19 |
About Cong Yang
Cong Yang is a scholar working on Fuel Technology, Computer Vision and Pattern Recognition and Media Technology, having authored 48 papers that have together received 462 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Media Technology (42 citations), Computer Vision and Pattern Recognition (96 citations) and Neurology (29 citations). Cong Yang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Weiguo Wu, Yanni Dong, Xiao Liu, Yangjie Cao, Yaping Wu, Christopher Q. Lan, Dipak Rana, Fanjun Meng, Meiyun Wang and Takeshi Matsuura. Their work appears in journals such as Journal of Molecular Biology, Biochemistry and IEEE Transactions on Geoscience and Remote Sensing.
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.