Yueyang Teng
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Topics
- Medical Imaging Techniques and Applications (27 papers)Radiomics and Machine Learning in Medical Imaging (16 papers)Advanced X-ray and CT Imaging (14 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yueyang Teng
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Radiology, Nuclear Medicine and Imaging 613
- Artificial Intelligence 295
- Computer Vision and Pattern Recognition 266
- Pulmonary and Respiratory Medicine 224
- Biomedical Engineering 198
Countries citing papers authored by Yueyang Teng
This map shows the geographic impact of Yueyang Teng'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 Yueyang Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueyang Teng more than expected).
Fields of papers citing papers by Yueyang Teng
This network shows the impact of papers produced by Yueyang Teng. 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 Yueyang Teng. The network helps show where Yueyang Teng may publish in the future.
Co-authorship network of co-authors of Yueyang Teng
This figure shows the co-authorship network connecting the top 25 collaborators of Yueyang Teng. A scholar is included among the top collaborators of Yueyang Teng 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 Yueyang Teng. Yueyang Teng 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 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 47 | |
| 13 | Parameter Constrained Transfer Learning for Low Dose PET Image Denoising | 2 |
| 14 | 4 | |
| 15 | 81 | |
| 16 | 35 | |
| 17 | 26 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 5 |
About Yueyang Teng
Yueyang Teng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Media Technology, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (27 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Advanced X-ray and CT Imaging (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (613 citations), Computer Vision and Pattern Recognition (266 citations) and Health Informatics (14 citations). Yueyang Teng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shouliang Qi, Wei Qian, Yudong Yao, Chen Li, Liyao Liu, Jianhua Li, Ge Wang, Fenglei Fan, Mingjie Xu and Lisheng Xu. Their work appears in journals such as PLoS ONE, IEEE Access and Frontiers in Microbiology.
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.