Lin Han
Impact in
- Health Informatics top 2%
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- AI in cancer detection 5
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- Thyroid Cancer Diagnosis and Treatment 6
- Co-authors
- Jun Ma (1 shared paper)Yuting He (1 shared paper)Bo Wang (1 shared paper)Chenyu You (1 shared paper)Jiangli Lin (15 shared papers)Yan Zhuang (6 shared papers)Ke Chen (1 shared paper)Jingtao Li (1 shared paper)
In The Last Decade
Lin Han
30 papers receiving 1.4k citations
Lin Han's Hit Papers
Peers
Comparison fields: 5 of 135
- Health Informatics 51
- Computer Vision and Pattern Recognition 544
- Radiology, Nuclear Medicine and Imaging 413
- Neurology 142
- Artificial Intelligence 389
Countries citing papers authored by Lin Han
This map shows the geographic impact of Lin Han'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 Lin Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Han more than expected).
Fields of papers citing papers by Lin Han
This network shows the impact of papers produced by Lin Han. 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 Lin Han. The network helps show where Lin Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Han, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Segment anything in medical images Hit paper breakdown → | 2024 | 1229 |
| 2 | 2020 | 31 | |
| 3 | 2017 | 19 | |
| 4 | 2021 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2023 | 14 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2024 | 3 | |
| 18 | Dynamic decomposition algorithm merging control flow analysis. | 2007 | 3 |
| 19 | 2020 | 3 | |
| 20 | 2023 | 3 |
About Lin Han
Lin Han is a scholar working on Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Hardware and Architecture, Radiology, Nuclear Medicine and Imaging and Atmospheric Science, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), AI in cancer detection (5 papers), Parallel Computing and Optimization Techniques (3 papers), Atmospheric aerosols and clouds (2 papers), Medical Image Segmentation Techniques (2 papers), Atmospheric Ozone and Climate (2 papers), Atmospheric chemistry and aerosols (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (51 citations), Computer Vision and Pattern Recognition (544 citations), Radiology, Nuclear Medicine and Imaging (413 citations), Neurology (142 citations) and Artificial Intelligence (389 citations). Lin Han has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Jun Ma, Yuting He, Bo Wang, Chenyu You, Jiangli Lin, Yan Zhuang, Ke Chen, Jingtao Li, Zhan Hua and Feng Zhang. Their work appears in journals such as Journal of X-Ray Science and Technology, Sensors, International Journal of Low-Carbon Technologies, Atmosphere and Cancer Management and Research.
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.