Lin Han
Impact in
- Health Informatics top 2%
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
-
- AI in cancer detection 9
- Solar Radiation and Photovoltaics 6
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- Atmospheric aerosols and clouds 10
- Co-authors
- Bo Wang (1 shared paper)Jun Ma (1 shared paper)Yuting He (1 shared paper)Chenyu You (1 shared paper)Feng Zhang (8 shared papers)Jiangli Lin (14 shared papers)Jun Li (6 shared papers)Wenwen Li (6 shared papers)
- Journals
- Journal of X-Ray Science and Technology (8 papers)Journal of Quantitative Spectroscopy and Radiative Transfer (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Sensors (2 papers)Remote Sensing of Environment (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lin Han
42 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Health Informatics 55
- Computer Vision and Pattern Recognition 426
- Radiology, Nuclear Medicine and Imaging 380
- Neurology 109
- Artificial Intelligence 372
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Segment anything in medical images Hit paper breakdown → | 2024 | 896 |
| 2 | 2022 | 33 | |
| 3 | 2022 | 32 | |
| 4 | 2020 | 30 | |
| 5 | 2022 | 28 | |
| 6 | 2017 | 18 | |
| 7 | 2021 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2019 | 4 |
About Lin Han
Lin Han is a scholar working on Artificial Intelligence, Global and Planetary Change, Atmospheric Science, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (10 papers), AI in cancer detection (9 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Solar Radiation and Photovoltaics (6 papers), Atmospheric chemistry and aerosols (5 papers), Atmospheric Ozone and Climate (4 papers) and Thyroid and Parathyroid Surgery (3 papers). The work is most often cited by research in Health Informatics (55 citations), Computer Vision and Pattern Recognition (426 citations), Radiology, Nuclear Medicine and Imaging (380 citations), Neurology (109 citations) and Artificial Intelligence (372 citations). Lin Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bo Wang, Jun Ma, Yuting He, Chenyu You, Feng Zhang, Jiangli Lin, Jun Li, Wenwen Li, Yan Zhuang and Lap–Kei Lee. Their work appears in journals such as Journal of X-Ray Science and Technology, Journal of Quantitative Spectroscopy and Radiative Transfer, IEEE Transactions on Geoscience and Remote Sensing, Sensors and Remote Sensing of Environment.
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.