Wei Yang
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 46
- Medical Imaging Techniques and Applications 33
- MRI in cancer diagnosis 13
-
- Medical Image Segmentation Techniques 33
- Image Retrieval and Classification Techniques 14
- Co-authors
- Qianjin Feng (62 shared papers)Wufan Chen (42 shared papers)Meiyan Huang (17 shared papers)Zhaoqiang Yun (10 shared papers)Jun Cheng (2 shared papers)Ru Yang (2 shared papers)Jun Jiang (13 shared papers)Zhijian Wang (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (10 papers)IEEE Access (8 papers)European Radiology (6 papers)PLoS ONE (6 papers)Medical Image Analysis (5 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Wei Yang
158 papers receiving 3.7k citations
Wei Yang's Hit Papers
Peers
Comparison fields: 5 of 132
- Neurology 1.1k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Computer Vision and Pattern Recognition 1.5k
- Health Informatics 61
- Computational Mathematics 19
Countries citing papers authored by Wei Yang
This map shows the geographic impact of Wei 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 Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yang more than expected).
Fields of papers citing papers by Wei Yang
This network shows the impact of papers produced by Wei 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 Wei Yang. The network helps show where Wei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition Hit paper breakdown → | 2015 | 548 |
| 2 | 2016 | 204 | |
| 3 | 2017 | 197 | |
| 4 | 2019 | 172 | |
| 5 | 2014 | 160 | |
| 6 | 2020 | 118 | |
| 7 | 2017 | 90 | |
| 8 | 2017 | 89 | |
| 9 | 2016 | 81 | |
| 10 | 2014 | 75 | |
| 11 | 2013 | 73 | |
| 12 | 2020 | 72 | |
| 13 | 2018 | 61 | |
| 14 | 2019 | 61 | |
| 15 | 2023 | 60 | |
| 16 | 2012 | 60 | |
| 17 | 2019 | 59 | |
| 18 | 2021 | 53 | |
| 19 | 2020 | 51 | |
| 20 | 2021 | 43 |
About Wei Yang
Wei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 175 papers that have together received 3.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (46 papers), Medical Image Segmentation Techniques (33 papers), Medical Imaging Techniques and Applications (33 papers), Advanced X-ray and CT Imaging (19 papers), Medical Imaging and Analysis (14 papers), Image Retrieval and Classification Techniques (14 papers), MRI in cancer diagnosis (13 papers) and AI in cancer detection (13 papers). The work is most often cited by research in Neurology (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations), Computer Vision and Pattern Recognition (1.5k citations), Health Informatics (61 citations) and Computational Mathematics (19 citations). Wei Yang has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Qianjin Feng, Wufan Chen, Meiyan Huang, Zhaoqiang Yun, Jun Cheng, Ru Yang, Jun Jiang, Zhijian Wang, Shuangliang Cao and Wei Huang. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Access, European Radiology, PLoS ONE and Medical Image Analysis.
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.