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
- Radiomics and Machine Learning in Medical Imaging 2
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- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 2
- Advanced Data Compression Techniques 1
- Co-authors
- S.-C.B. Lo (1 shared paper)Seong K. Mun (1 shared paper)Xiaoqiang Zhou (2 shared papers)Jyh-Shyan Lin (1 shared paper)H. K. Huang (2 shared papers)Matthew T. Freedman (1 shared paper)H. K. Huang (5 shared papers)Johannes N. Stahl (1 shared paper)
- Journals
- Computerized Medical Imaging and Graphics (5 papers)IEEE Transactions on Medical Imaging (2 papers)American Journal of Roentgenology (1 paper)Radiologic Clinics of North America (1 paper)IEEE Transactions on Information Technology in Biomedicine (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
S.L. Lou
11 papers receiving 511 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 240
- Radiology, Nuclear Medicine and Imaging 207
- Health Informatics 10
- Artificial Intelligence 222
- Neurology 37
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 18 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 | 281 | |
| 2 | 2001 | 118 | |
| 3 | 2000 | 47 | |
| 4 | 2000 | 33 | |
| 5 | 1994 | 15 | |
| 6 | 1997 | 14 | |
| 7 | 1990 | 13 | |
| 8 | 1996 | 11 | |
| 9 | 1995 | 7 | |
| 10 | 1997 | 6 | |
| 11 | 2000 | 4 | |
| 12 | 2005 | 0 |
About S.L. Lou
S.L. Lou is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Information Systems and Management, having authored 12 papers that have together received 549 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (3 papers), Radiology practices and education (3 papers), Image Retrieval and Classification Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Data Compression Techniques (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Radiology, Nuclear Medicine and Imaging (207 citations), Health Informatics (10 citations), Artificial Intelligence (222 citations) and Neurology (37 citations). S.L. Lou has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include S.-C.B. Lo, Seong K. Mun, Xiaoqiang Zhou, Jyh-Shyan Lin, H. K. Huang, Matthew T. Freedman, H. K. Huang, Johannes N. Stahl, Kyoung Seob Song and Kang‐Ping Lin. Their work appears in journals such as Computerized Medical Imaging and Graphics, IEEE Transactions on Medical Imaging, American Journal of Roentgenology, Radiologic Clinics of North America and IEEE Transactions on Information Technology in Biomedicine.
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.