Benqiang Yang
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Medical Image Segmentation Techniques
Papers in
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- Cardiovascular Disease and Adiposity 12
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- Cardiac Imaging and Diagnostics 7
- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Libo Zhang (27 shared papers)Zhiliang Zhu (1 shared paper)Junxin Chen (1 shared paper)Yushu Zhang (1 shared paper)Lisheng Xu (20 shared papers)Yu Sun (20 shared papers)Dawei Chen (10 shared papers)Huiyan Jiang (10 shared papers)
- Journals
- Frontiers in Neurology (8 papers)Medical Physics (4 papers)Scientific Reports (4 papers)BioMed Research International (3 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Benqiang Yang
85 papers receiving 946 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 376
- Radiology, Nuclear Medicine and Imaging 154
- Cardiology and Cardiovascular Medicine 129
- Health Informatics 7
- Computational Theory and Mathematics 83
Countries citing papers authored by Benqiang Yang
This map shows the geographic impact of Benqiang 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 Benqiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benqiang Yang more than expected).
Fields of papers citing papers by Benqiang Yang
This network shows the impact of papers produced by Benqiang 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 Benqiang Yang. The network helps show where Benqiang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Benqiang 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 283 | |
| 2 | 2021 | 51 | |
| 3 | 2022 | 41 | |
| 4 | 2016 | 33 | |
| 5 | 2017 | 30 | |
| 6 | 2020 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2012 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2013 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2018 | 13 |
About Benqiang Yang
Benqiang Yang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 961 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (16 papers), Acute Ischemic Stroke Management (14 papers), Cardiovascular Disease and Adiposity (12 papers), Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (7 papers), Advanced X-ray and CT Imaging (6 papers), Brain Tumor Detection and Classification (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (376 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Cardiology and Cardiovascular Medicine (129 citations), Health Informatics (7 citations) and Computational Theory and Mathematics (83 citations). Benqiang Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Libo Zhang, Zhiliang Zhu, Junxin Chen, Yushu Zhang, Lisheng Xu, Yu Sun, Dawei Chen, Huiyan Jiang, Stephen E. Greenwald and Zhihua Xu. Their work appears in journals such as Frontiers in Neurology, Medical Physics, Scientific Reports, BioMed Research International and IEEE Journal of Biomedical and Health Informatics.
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.