San-Kan Lee

41 papers receiving 346 citations

Peers

San-Kan Lee
Comparison fields: 5 of 78
  • Neurology 29
  • Radiology, Nuclear Medicine and Imaging 72
  • Signal Processing 33
  • Obstetrics and Gynecology 23
  • Analytical Chemistry 28
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Hiroyuki Sugimori Japan
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Yin‐Yin Liao Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by San-Kan Lee

Since Specialization
Citations

This map shows the geographic impact of San-Kan Lee'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 San-Kan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San-Kan Lee more than expected).

Fields of papers citing papers by San-Kan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by San-Kan Lee. 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 San-Kan Lee. The network helps show where San-Kan Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside San-Kan Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with San-Kan Lee Line = papers co-authored together San-Kan Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199348
2 200834
3 200326
4
Angiographic embolization for emergent and prophylactic management of obstetric hemorrhage: a four-year experience.
200326
5 201417
6 200816
7
Neurilemmoma of the oculomotor nerve presenting as an orbital mass: MR findings.
199315
8 199914
9
Unilateral subcortical calcification: a manifestation of dural arteriovenous fistula.
200514
10 199914
11 200913
12 201912
13 200510
14 200410
15
Magnetic Resonance Imaging of Rhabdomyolysis: Muscle Necrosis Versus Ischemia
20139
16
Intraspinal extradural ganglion cyst of the cervical spine.
20049
17 20057
18 20177
19 19976
20 19975

About San-Kan Lee

San-Kan Lee is a scholar working on Surgery, Computer Vision and Pattern Recognition, Oncology, Neurology and Epidemiology, having authored 43 papers that have together received 364 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Colorectal Cancer Screening and Detection (4 papers), Global Cancer Incidence and Screening (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Brain Tumor Detection and Classification (3 papers), Medical Image Segmentation Techniques (3 papers), Image and Signal Denoising Methods (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Neurology (29 citations), Radiology, Nuclear Medicine and Imaging (72 citations), Signal Processing (33 citations), Obstetrics and Gynecology (23 citations) and Analytical Chemistry (28 citations). San-Kan Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Clayton Chi‐Chang Chen, Yung‐Jen Ho, Chein‐I Chang, Jyh‐Wen Chai, W. C. Shen, Yeu‐Sheng Tyan, Ching‐Wen Yang, Giu‐Cheng Hsu, Pau‐Choo Chung and Hsian‐Min Chen. Their work appears in journals such as American Journal of Neuroradiology, Computerized Medical Imaging and Graphics, European Radiology, Journal of Computer Assisted Tomography and Neuroradiology.

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.

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