Feng Yang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Health Informatics top 5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 20
- COVID-19 diagnosis using AI 16
- Advanced Neuroimaging Techniques and Applications 10
- Advanced MRI Techniques and Applications 9
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- Medical Image Segmentation Techniques 8
- Digital Imaging for Blood Diseases 7
- Co-authors
- Caiyun Yang (5 shared papers)Mu Zhou (3 shared papers)Wei Shen (2 shared papers)Jie Tian (1 shared paper)Jie Tian (4 shared papers)Dongdong Yu (3 shared papers)Di Dong (2 shared papers)Yali Zang (1 shared paper)
- Journals
- IEEE Access (3 papers)Physics in Medicine and Biology (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Medical Image Analysis (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Feng Yang
75 papers receiving 1.9k citations
Feng Yang's Hit Papers
Peers
Comparison fields: 5 of 136
- Radiology, Nuclear Medicine and Imaging 1.2k
- Health Informatics 46
- Computer Vision and Pattern Recognition 546
- Pulmonary and Respiratory Medicine 640
- Artificial Intelligence 502
Countries citing papers authored by Feng Yang
This map shows the geographic impact of Feng 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 Feng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yang more than expected).
Fields of papers citing papers by Feng Yang
This network shows the impact of papers produced by Feng 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 Feng Yang. The network helps show where Feng Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification Hit paper breakdown → | 2016 | 461 |
| 2 | Multi-scale Convolutional Neural Networks for Lung Nodule Classification Hit paper breakdown → | 2015 | 408 |
| 3 | 2019 | 157 | |
| 4 | 2015 | 73 | |
| 5 | 2015 | 69 | |
| 6 | 2011 | 67 | |
| 7 | 2020 | 67 | |
| 8 | 2018 | 42 | |
| 9 | 2020 | 39 | |
| 10 | 2021 | 34 | |
| 11 | 2014 | 32 | |
| 12 | 2023 | 31 | |
| 13 | 2015 | 27 | |
| 14 | 2011 | 24 | |
| 15 | 2017 | 22 | |
| 16 | 2015 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2023 | 19 | |
| 19 | 2021 | 17 | |
| 20 | 2021 | 17 |
About Feng Yang
Feng Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence and Biomedical Engineering, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), COVID-19 diagnosis using AI (16 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (9 papers), Medical Image Segmentation Techniques (8 papers), Digital Imaging for Blood Diseases (7 papers), AI in cancer detection (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Health Informatics (46 citations), Computer Vision and Pattern Recognition (546 citations), Pulmonary and Respiratory Medicine (640 citations) and Artificial Intelligence (502 citations). Feng Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Caiyun Yang, Mu Zhou, Wei Shen, Jie Tian, Jie Tian, Dongdong Yu, Di Dong, Yali Zang, Stefan Jaeger and Sameer Antani. Their work appears in journals such as IEEE Access, Physics in Medicine and Biology, IEEE Journal of Biomedical and Health Informatics, Medical Image Analysis and IEEE Transactions on Medical Imaging.
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.