Sang-Bock Lee
Sang-Bock Lee publishes mostly in Radiology, Nuclear Medicine and Imaging, Information Systems and Computer Vision and Pattern Recognition, on topics such as Image and Signal Denoising Methods, Advanced MRI Techniques and Applications and Brain Tumor Detection and Classification.
- World rank
- #7,352,005 of 7,710,434 ranked researchers
- Rank in South Korea
- #151,466 of 162,609
- Works
- 40
- Citations
- 60
- Citations per work
- 1.5
What does Sang-Bock Lee research?
Sang-Bock Lee's work is mostly in Computer Science (33%), Medicine (14%), Neuroscience (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else2049.0%
- Physical Sciences1333.0%
- Computer Science1333.0%
- Health Sciences614.0%
- Medicine614.0%
- Life Sciences24.0%
- Neuroscience24.0%
- 1Radiology, Nuclear Medicine and Imaging14% of their works
- 2Information Systems10% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Artificial Intelligence7% of their works
- 5Computer Networks and Communications6% of their works
- 6Neurology4% of their works
Research topics
Which keywords describe Sang-Bock Lee's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Text Mining, Semantic Network Analysis, Image Denoising, Magnetic Resonance Imaging and Perfusion Imaging.
- Research Trends
- Medical Image Analysis
- Fashion
- Cosmetics
- Data Analysis
- Big Data
- Perfusion Imaging
- Image Denoising
- Text Mining
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Semantic Network Analysis
- Magnetic Resonance Imaging
- Sparse Representations
- Brain Tumor
- MRI
- Digital Library System
- Histopathology Images
- Nursing
- Smart Education
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Deep Learning174 topics
- Machine Learning113 topics
- Convolutional Neural Networks82 topics
- Text Mining72 topics
- Semantic Network Analysis62 topics
- Image Denoising51 topic
- Magnetic Resonance Imaging51 topic
- Perfusion Imaging51 topic
- Sparse Representations51 topic
- Big Data41 topic
- Brain Tumor41 topic
- Data Analysis41 topic
- MRI41 topic
- Cosmetics31 topic
- Digital Library System31 topic
- Fashion31 topic
- Histopathology Images31 topic
- Medical Image Analysis31 topic
- Nursing31 topic
- Research Trends31 topic
- Smart Education31 topic
Where does Sang-Bock Lee work?
Sang-Bock Lee's main affiliation in the publication record is Nambu University, South Korea.
How many publications and citations does Sang-Bock Lee have?
OpenAlex counts 40 works and 60 citations for Sang-Bock Lee, an h-index of 4, ranking #7,352,005 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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