Hao Yan
Impact in
- Radiation top 2%
- Advanced Radiotherapy Techniques
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Imaging Techniques and Applications 31
- Radiation Dose and Imaging 10
- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 2
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- Advanced X-ray and CT Imaging 21
- Co-authors
- Xun Jia (23 shared papers)Steve Jiang (19 shared papers)Laura Cerviño (10 shared papers)Xuanqin Mou (13 shared papers)Linghong Zhou (8 shared papers)Michael Folkerts (4 shared papers)Xin Zhen (5 shared papers)Ti Bai (7 shared papers)
- Journals
- Medical Physics (12 papers)Physics in Medicine and Biology (8 papers)Journal of X-Ray Science and Technology (3 papers)Scientific Reports (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hao Yan
39 papers receiving 782 citations
Peers
Comparison fields: 5 of 67
- Radiation 394
- Radiology, Nuclear Medicine and Imaging 707
- Biomedical Engineering 482
- Pulmonary and Respiratory Medicine 136
- Oral Surgery 25
Countries citing papers authored by Hao Yan
This map shows the geographic impact of Hao Yan'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 Hao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yan more than expected).
Fields of papers citing papers by Hao Yan
This network shows the impact of papers produced by Hao Yan. 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 Hao Yan. The network helps show where Hao Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Yan, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 97 | |
| 2 | 2012 | 92 | |
| 3 | 2012 | 69 | |
| 4 | 2013 | 64 | |
| 5 | 2012 | 54 | |
| 6 | 2013 | 46 | |
| 7 | 2010 | 42 | |
| 8 | 2014 | 36 | |
| 9 | 2013 | 35 | |
| 10 | 2014 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2015 | 29 | |
| 13 | 2013 | 23 | |
| 14 | 2015 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2010 | 14 | |
| 17 | 2017 | 12 | |
| 18 | [A 63-year-old woman with muscle weakness, myotonia, and parkinsonism]. | 1996 | 10 |
| 19 | 2006 | 8 | |
| 20 | 2022 | 7 |
About Hao Yan
Hao Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Pulmonary and Respiratory Medicine and Surgery, having authored 41 papers that have together received 800 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (31 papers), Advanced X-ray and CT Imaging (21 papers), Advanced Radiotherapy Techniques (11 papers), Radiation Dose and Imaging (10 papers), Advanced MRI Techniques and Applications (7 papers), Digital Radiography and Breast Imaging (6 papers), Medical Image Segmentation Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiation (394 citations), Radiology, Nuclear Medicine and Imaging (707 citations), Biomedical Engineering (482 citations), Pulmonary and Respiratory Medicine (136 citations) and Oral Surgery (25 citations). Hao Yan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xun Jia, Steve Jiang, Laura Cerviño, Xuanqin Mou, Linghong Zhou, Michael Folkerts, Xin Zhen, Ti Bai, Luo Ouyang and Jing Wang. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Journal of X-Ray Science and Technology, Scientific Reports and Medicine.
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.