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Researcher · Seoul National University · South Korea

Azka Rehman

Azka Rehman publishes mostly in Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology, on topics such as Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI and Brain Tumor Detection and Classification.

ORCID 0000-0001-7085-0105 OpenAlex
World rank
#1,682,273
of 7,710,434 ranked researchers
Rank in South Korea
#19,891
of 162,609
Works
19
Citations
119
Citations per work
6.3
h-index
6
i10-index 4Top 82% in Radiology, Nuclear Medicine and Imaging
Azka Rehman

What does Azka Rehman research?

Azka Rehman's work is mostly in Medicine (51%), Neuroscience (9%), Computer Science (9%).

Health Sciences: 11 works · 58.5% of their workMedicine: 10 works · 51.0% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 34.0% of their workPulmonary and Respiratory Medicine: 2 works · 11.3% of their workEndocrinology, Diabetes and Metabolism: 1 works · 5.7% of their workDentistry: 1 works · 7.5% of their workOral Surgery: 1 works · 7.5% of their workEverything else: 4 works · 22.7% of their workLife Sciences: 2 works · 9.4% of their workNeuroscience: 2 works · 9.4% of their workNeurology: 2 works · 9.4% of their workPhysical Sciences: 2 works · 9.4% of their workComputer Science: 2 works · 9.4% of their workArtificial Intelligence: 2 works · 9.4% of their workTHEIR WORKAzka Rehman19works
Life Sciences9%Physical Sciences9%Health Sciences59%

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
    1. Medicine1051.0%
    2. Dentistry17.5%
  2. Everything else422.7%
    1. Neuroscience29.4%
    1. Computer Science29.4%
  1. 1Radiology, Nuclear Medicine and Imaging34% of their works
  2. 2Pulmonary and Respiratory Medicine11% of their works
  3. 3Neurology9% of their works
  4. 4Artificial Intelligence9% of their works
  5. 5Oral Surgery8% of their works
  6. 6Endocrinology, Diabetes and Metabolism6% of their works

Research topics

Which keywords describe Azka Rehman's research?

The keywords of their largest research topics: Deep Learning, Medical Imaging, Machine Learning, Convolutional Neural Networks, Feature Extraction, Transfer Learning, Artificial Intelligence and Quantitative Analysis.

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.

All 24 words, with their numbers
  1. Deep Learning195 topics
  2. Medical Imaging183 topics
  3. Machine Learning163 topics
  4. Convolutional Neural Networks123 topics
  5. Feature Extraction122 topics
  6. Transfer Learning112 topics
  7. Artificial Intelligence82 topics
  8. Quantitative Analysis71 topic
  9. Radiomics71 topic
  10. COVID-1961 topic
  11. Chest X-Ray61 topic
  12. Medical Image Analysis62 topics
  13. Brain Tumor51 topic
  14. MRI51 topic
  15. CT Screening41 topic
  16. Computer-Aided Detection41 topic
  17. Histopathology Images41 topic
  18. Lung Cancer41 topic
  19. Differentiated Thyroid Cancer31 topic
  20. Thyroid Nodules31 topic
  21. Image Recognition21 topic
  22. Object Detection21 topic
  23. Spine Segmentation21 topic
  24. Vertebrae Detection21 topic

Where does Azka Rehman work?

Azka Rehman's main affiliation in the publication record is Seoul National University, South Korea.

How many publications and citations does Azka Rehman have?

OpenAlex counts 19 works and 119 citations for Azka Rehman, an h-index of 6, ranking #1,682,273 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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