Liyan Lin
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
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- Medical Image Segmentation Techniques
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
- Medical Imaging Techniques and Applications 4
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- Medical Imaging and Analysis 7
- Advanced X-ray and CT Imaging 2
- Co-authors
- Qianjin Feng (8 shared papers)Wei Yang (6 shared papers)Zhentai Lu (4 shared papers)Shumao Pang (6 shared papers)Wufan Chen (3 shared papers)Hai Lü (5 shared papers)Zhihai Su (5 shared papers)Liming Zhong (3 shared papers)
In The Last Decade
Liyan Lin
24 papers receiving 413 citations
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 139
- Computer Vision and Pattern Recognition 82
- Neurology 27
- Biomedical Engineering 137
- Health Informatics 4
Countries citing papers authored by Liyan Lin
This map shows the geographic impact of Liyan Lin'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 Liyan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyan Lin more than expected).
Fields of papers citing papers by Liyan Lin
This network shows the impact of papers produced by Liyan Lin. 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 Liyan Lin. The network helps show where Liyan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyan Lin, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 96 | |
| 2 | 2017 | 51 | |
| 3 | 2021 | 48 | |
| 4 | 2018 | 46 | |
| 5 | 2019 | 27 | |
| 6 | 2021 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2016 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 3 |
About Liyan Lin
Liyan Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 27 papers that have together received 419 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (7 papers), Medical Imaging Techniques and Applications (4 papers), Gastric Cancer Management and Outcomes (3 papers), AI in cancer detection (3 papers), Brain Tumor Detection and Classification (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (139 citations), Computer Vision and Pattern Recognition (82 citations), Neurology (27 citations), Biomedical Engineering (137 citations) and Health Informatics (4 citations). Liyan Lin has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Qianjin Feng, Wei Yang, Zhentai Lu, Shumao Pang, Wufan Chen, Hai Lü, Zhihai Su, Liming Zhong, Yunbi Liu and Lei Zhao. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Medical Imaging, PLoS ONE, Gastric Cancer and Biomedical Optics Express.
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.