S.L. Lou
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiology practices and education 3
- Medical Imaging Techniques and Applications 1
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- Digital Radiography and Breast Imaging 3
- Co-authors
- Jyh-Shyan Lin (1 shared paper)Seong K. Mun (1 shared paper)Matthew T. Freedman (1 shared paper)S.-C.B. Lo (1 shared paper)Xiaoqiang Zhou (2 shared papers)H. K. Huang (2 shared papers)H. K. Huang (5 shared papers)Kang‐Ping Lin (1 shared paper)
- Journals
- Computerized Medical Imaging and Graphics (5 papers)IEEE Transactions on Medical Imaging (2 papers)Radiologic Clinics of North America (1 paper)American Journal of Roentgenology (1 paper)Sensors (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
S.L. Lou
12 papers receiving 446 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 209
- Radiology, Nuclear Medicine and Imaging 186
- Health Informatics 10
- Artificial Intelligence 194
- Neurology 35
Countries citing papers authored by S.L. Lou
This map shows the geographic impact of S.L. Lou'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 S.L. Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.L. Lou more than expected).
Fields of papers citing papers by S.L. Lou
This network shows the impact of papers produced by S.L. Lou. 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 S.L. Lou. The network helps show where S.L. Lou may publish in the future.
Co-authors
The 25 scholars most cited alongside S.L. Lou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 243 | |
| 2 | 2001 | 98 | |
| 3 | 2000 | 42 | |
| 4 | 2000 | 29 | |
| 5 | 1994 | 14 | |
| 6 | 1997 | 13 | |
| 7 | 1990 | 12 | |
| 8 | 1996 | 10 | |
| 9 | 1997 | 6 | |
| 10 | 1995 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2005 | 0 |
About S.L. Lou
S.L. Lou is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering, having authored 14 papers that have together received 480 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (3 papers), AI in cancer detection (3 papers), Radiology practices and education (3 papers), Medical Image Segmentation Techniques (2 papers), Catalysis and Oxidation Reactions (1 paper), Medical Imaging Techniques and Applications (1 paper), Indoor and Outdoor Localization Technologies (1 paper) and Industrial Gas Emission Control (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Radiology, Nuclear Medicine and Imaging (186 citations), Health Informatics (10 citations), Artificial Intelligence (194 citations) and Neurology (35 citations). S.L. Lou has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jyh-Shyan Lin, Seong K. Mun, Matthew T. Freedman, S.-C.B. Lo, Xiaoqiang Zhou, H. K. Huang, H. K. Huang, Kang‐Ping Lin, Jianguo Zhang and Kyoung Seob Song. Their work appears in journals such as Computerized Medical Imaging and Graphics, IEEE Transactions on Medical Imaging, Radiologic Clinics of North America, American Journal of Roentgenology and Sensors.
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.