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Researcher · Northern University of Malaysia · Malaysia

Nor Hazlyna Harun

Nor Hazlyna Harun publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Digital Imaging for Blood Diseases, Water Quality Monitoring Technologies and Retinal Imaging and Analysis.

ORCID 0000-0002-6817-9874 OpenAlex
World rank
#3,951,457
of 7,710,434 ranked researchers
Rank in Malaysia
#18,266
of 41,196
Works
87
Citations
920
Citations per work
10.6
h-index
15
i10-index 23Top 23% in Computer Vision and Pattern Recognition
Nor Hazlyna Harun

What does Nor Hazlyna Harun research?

Nor Hazlyna Harun's work is mostly in Computer Science (37%), Medicine (8%), Environmental Science (7%).

Physical Sciences: 38 works · 43.7% of their workComputer Science: 32 works · 37.1% of their workComputer Vision and Pattern Recognition: 15 works · 17.5% of their workArtificial Intelligence: 14 works · 15.7% of their workInformation Systems: 3 works · 3.9% of their workEnvironmental Science: 6 works · 6.6% of their workWater Science and Technology: 6 works · 6.6% of their workEverything else: 38 works · 43.6% of their workHealth Sciences: 7 works · 7.9% of their workMedicine: 7 works · 7.9% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 7.9% of their workLife Sciences: 4 works · 4.8% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 4.8% of their workBiophysics: 4 works · 4.8% of their workTHEIR WORKNor Hazlyna Harun87works
Life Sciences5%Physical Sciences44%Health Sciences8%

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. Computer Science3237.1%
    2. Environmental Science66.6%
  2. Everything else3843.6%
    1. Medicine77.9%
    1. Biochemistry, Genetics and Molecular Biology44.8%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Radiology, Nuclear Medicine and Imaging8% of their works
  4. 4Water Science and Technology7% of their works
  5. 5Biophysics5% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Nor Hazlyna Harun's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Image Processing, Convolutional Neural Networks, Medical Image Analysis, Leukemia Classification, Malaria Parasite Detection and Diabetic Retinopathy.

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. Machine Learning444 topics
  2. Deep Learning415 topics
  3. Image Processing404 topics
  4. Convolutional Neural Networks312 topics
  5. Medical Image Analysis312 topics
  6. Leukemia Classification211 topic
  7. Malaria Parasite Detection211 topic
  8. Diabetic Retinopathy182 topics
  9. Macular Degeneration182 topics
  10. Environmental Monitoring172 topics
  11. Aquaculture121 topic
  12. Retinal Disease121 topic
  13. Vessel Segmentation121 topic
  14. Water Quality Monitoring121 topic
  15. Computer-Aided Detection101 topic
  16. Histopathology Images101 topic
  17. Bioimage Analysis81 topic
  18. High-Content Screening81 topic
  19. Contrast Enhancement61 topic
  20. Dehazing61 topic
  21. Oxidative Stress61 topic
  22. Retinal Pigment Epithelium61 topic
  23. Plant Disease Detection51 topic
  24. Smart Farming51 topic

Where does Nor Hazlyna Harun work?

Nor Hazlyna Harun's main affiliation in the publication record is Northern University of Malaysia, Malaysia.

How many publications and citations does Nor Hazlyna Harun have?

OpenAlex counts 87 works and 920 citations for Nor Hazlyna Harun, an h-index of 15, ranking #3,951,457 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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