Mugahed A. Al–antari
Mugahed A. Al–antari publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, COVID-19 diagnosis using AI and Radiomics and Machine Learning in Medical Imaging.
- World rank
- #219,423 of 7,710,434 ranked researchers
- Rank in South Korea
- #1,338 of 162,609
- Works
- 129
- Citations
- 4.5k
- Citations per work
- 34.6
What does Mugahed A. Al–antari research?
Mugahed A. Al–antari's work is mostly in Computer Science (35%), Medicine (18%), Engineering (11%).
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
- Physical Sciences5945.8%
- Computer Science4535.0%
- Engineering1410.8%
- Everything else4736.4%
- Health Sciences2317.8%
- Medicine2317.8%
- 1Artificial Intelligence23% of their works
- 2Radiology, Nuclear Medicine and Imaging18% of their works
- 3Computer Vision and Pattern Recognition9% of their works
- 4Biomedical Engineering6% of their works
- 5Civil and Structural Engineering5% of their works
- 6Information Systems3% of their works
Research topics
Which keywords describe Mugahed A. Al–antari's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Medical Image Analysis, Computer-Aided Detection, Histopathology Images and Artificial Intelligence.
- MRI
- Vertebrae Detection
- Pavement
- Word Representation
- Melanoma
- Radiomics
- Chest X-Ray
- Feature Extraction
- Artificial Intelligence
- Computer-Aided Detection
- Medical Imaging
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Medical Image Analysis
- Histopathology Images
- Transfer Learning
- COVID-19
- Quantitative Analysis
- Dermoscopy
- Neural Networks
- Crack Detection
- Spine Segmentation
- Brain Tumor
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 24 words, with their numbers
- Deep Learning956 topics
- Convolutional Neural Networks713 topics
- Machine Learning643 topics
- Medical Imaging553 topics
- Medical Image Analysis442 topics
- Computer-Aided Detection361 topic
- Histopathology Images361 topic
- Artificial Intelligence352 topics
- Transfer Learning342 topics
- Feature Extraction282 topics
- COVID-19271 topic
- Chest X-Ray271 topic
- Quantitative Analysis211 topic
- Radiomics211 topic
- Dermoscopy91 topic
- Melanoma91 topic
- Neural Networks91 topic
- Word Representation91 topic
- Crack Detection81 topic
- Pavement81 topic
- Spine Segmentation81 topic
- Vertebrae Detection81 topic
- Brain Tumor71 topic
- MRI71 topic
Where does Mugahed A. Al–antari work?
Mugahed A. Al–antari's main affiliation in the publication record is Sejong University, South Korea.
How many publications and citations does Mugahed A. Al–antari have?
OpenAlex counts 129 works and 4,464 citations for Mugahed A. Al–antari, an h-index of 31, ranking #219,423 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.
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