Zhennan Yan
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Medical Image Segmentation Techniques 14
- Advanced Neural Network Applications 8
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- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 3
- Co-authors
- Shaoting Zhang (16 shared papers)Dimitris Metaxas (13 shared papers)Dimitris Metaxas (12 shared papers)Yiqiang Zhan (4 shared papers)Shu Liao (2 shared papers)Zhigang Peng (2 shared papers)Yoshihisa Shinagawa (2 shared papers)Xiang Sean Zhou (2 shared papers)
- Journals
- Medical Image Analysis (3 papers)Computerized Medical Imaging and Graphics (2 papers)IEEE Transactions on Medical Imaging (2 papers)Nature Communications (1 paper)Medical Physics (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Zhennan Yan
34 papers receiving 623 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 243
- Computer Vision and Pattern Recognition 187
- Oral Surgery 44
- Artificial Intelligence 214
Countries citing papers authored by Zhennan Yan
This map shows the geographic impact of Zhennan 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 Zhennan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhennan Yan more than expected).
Fields of papers citing papers by Zhennan Yan
This network shows the impact of papers produced by Zhennan 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 Zhennan Yan. The network helps show where Zhennan Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhennan 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 137 | |
| 2 | 2021 | 74 | |
| 3 | 2015 | 51 | |
| 4 | 2023 | 42 | |
| 5 | 2021 | 37 | |
| 6 | 2015 | 29 | |
| 7 | 2021 | 27 | |
| 8 | 2014 | 25 | |
| 9 | 2021 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2014 | 20 | |
| 12 | 2023 | 19 | |
| 13 | 2015 | 17 | |
| 14 | 2007 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2018 | 9 | |
| 18 | 2007 | 7 | |
| 19 | 2014 | 7 | |
| 20 | 2020 | 7 |
About Zhennan Yan
Zhennan Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 634 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Advanced Neural Network Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Medical Imaging and Analysis (4 papers), Medical Imaging Techniques and Applications (3 papers) and Dental Radiography and Imaging (3 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (243 citations), Computer Vision and Pattern Recognition (187 citations), Oral Surgery (44 citations) and Artificial Intelligence (214 citations). Zhennan Yan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Shaoting Zhang, Dimitris Metaxas, Dimitris Metaxas, Yiqiang Zhan, Shu Liao, Zhigang Peng, Yoshihisa Shinagawa, Xiang Sean Zhou, Kang Li and Liang Zhao. Their work appears in journals such as Medical Image Analysis, Computerized Medical Imaging and Graphics, IEEE Transactions on Medical Imaging, Nature Communications and Medical Physics.
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.