Lan Li
Impact in
- Artificial Intelligence top 2%
- AI in cancer detection
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
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- AI in cancer detection 20
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- Image and Signal Denoising Methods 5
- Image Enhancement Techniques 4
- Co-authors
- Maryellen L. Giger (20 shared papers)Hui Li (10 shared papers)Olufunmilayo I. Olopade (10 shared papers)Gyungho Lee (1 shared paper)Karla Horsch (6 shared papers)Carl J. Vyborny (4 shared papers)Zhimin Huo (5 shared papers)Min Kyung Lee (1 shared paper)
- Journals
- Medical Physics (3 papers)Academic Radiology (3 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Breast Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lan Li
54 papers receiving 730 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 479
- Radiology, Nuclear Medicine and Imaging 342
- Pulmonary and Respiratory Medicine 248
- Health Informatics 9
- Computer Vision and Pattern Recognition 119
Countries citing papers authored by Lan Li
This map shows the geographic impact of Lan Li'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 Lan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Li more than expected).
Fields of papers citing papers by Lan Li
This network shows the impact of papers produced by Lan Li. 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 Lan Li. The network helps show where Lan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Li, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 85 | |
| 2 | 2007 | 76 | |
| 3 | 2005 | 74 | |
| 4 | 2006 | 72 | |
| 5 | 2005 | 52 | |
| 6 | 2014 | 51 | |
| 7 | 2021 | 51 | |
| 8 | 2012 | 35 | |
| 9 | 2002 | 30 | |
| 10 | 2008 | 25 | |
| 11 | 2014 | 22 | |
| 12 | 2014 | 22 | |
| 13 | 2003 | 22 | |
| 14 | 2004 | 16 | |
| 15 | 1992 | 13 | |
| 16 | 2008 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2024 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Lan Li
Lan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Media Technology, having authored 61 papers that have together received 762 indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Digital Radiography and Breast Imaging (10 papers), Advanced Image Fusion Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Gene expression and cancer classification (5 papers), Remote Sensing and Land Use (4 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (479 citations), Radiology, Nuclear Medicine and Imaging (342 citations), Pulmonary and Respiratory Medicine (248 citations), Health Informatics (9 citations) and Computer Vision and Pattern Recognition (119 citations). Lan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Maryellen L. Giger, Hui Li, Olufunmilayo I. Olopade, Gyungho Lee, Karla Horsch, Carl J. Vyborny, Zhimin Huo, Min Kyung Lee, R. Edward Hendrick and Barbara Weber. Their work appears in journals such as Medical Physics, Academic Radiology, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Breast Cancer 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.