Baiyu Chen
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Biomedical Engineering top 5%
- Advanced X-ray and CT Imaging
Papers in
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- Medical Imaging Techniques and Applications 22
- Radiation Dose and Imaging 13
- Radiomics and Machine Learning in Medical Imaging 3
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- Advanced X-ray and CT Imaging 21
- Co-authors
- Lifeng Yu (20 shared papers)Shuai Leng (18 shared papers)Cynthia H. McCollough (18 shared papers)Ehsan Samei (13 shared papers)Zhicong Yu (5 shared papers)Joel G. Fletcher (9 shared papers)Samuel Richard (8 shared papers)Lifen Yang (16 shared papers)
- Journals
- Medical Physics (9 papers)Physics in Medicine and Biology (5 papers)Frontiers in Molecular Neuroscience (4 papers)Clinica Chimica Acta (3 papers)Frontiers in Pediatrics (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Baiyu Chen
67 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Radiology, Nuclear Medicine and Imaging 675
- Biomedical Engineering 589
- Computer Vision and Pattern Recognition 129
- Radiation 53
- Cancer Research 67
Countries citing papers authored by Baiyu Chen
This map shows the geographic impact of Baiyu Chen'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 Baiyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baiyu Chen more than expected).
Fields of papers citing papers by Baiyu Chen
This network shows the impact of papers produced by Baiyu Chen. 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 Baiyu Chen. The network helps show where Baiyu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Baiyu Chen, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 195 | |
| 2 | 2017 | 183 | |
| 3 | 2020 | 168 | |
| 4 | 2017 | 61 | |
| 5 | 2014 | 56 | |
| 6 | 2013 | 52 | |
| 7 | 2017 | 50 | |
| 8 | 2012 | 50 | |
| 9 | 2021 | 49 | |
| 10 | 2022 | 42 | |
| 11 | 2011 | 42 | |
| 12 | 2017 | 41 | |
| 13 | 2020 | 38 | |
| 14 | 2012 | 37 | |
| 15 | 2012 | 30 | |
| 16 | 2016 | 30 | |
| 17 | 2015 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2015 | 19 | |
| 20 | 2016 | 18 |
About Baiyu Chen
Baiyu Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (22 papers), Advanced X-ray and CT Imaging (21 papers), Radiation Dose and Imaging (13 papers), Digital Radiography and Breast Imaging (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Genomics and Rare Diseases (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (675 citations), Biomedical Engineering (589 citations), Computer Vision and Pattern Recognition (129 citations), Radiation (53 citations) and Cancer Research (67 citations). Baiyu Chen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Lifeng Yu, Shuai Leng, Cynthia H. McCollough, Ehsan Samei, Zhicong Yu, Joel G. Fletcher, Samuel Richard, Lifen Yang, Miriam Kessi and Rickey E. Carter. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Frontiers in Molecular Neuroscience, Clinica Chimica Acta and Frontiers in Pediatrics.
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.