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Researcher · Ghana Communication Technology University · Ghana

Justice Williams Asare

Justice Williams Asare publishes mostly in Computer Vision and Pattern Recognition, Hematology and Artificial Intelligence, on topics such as Digital Imaging for Blood Diseases, Iron Metabolism and Disorders and AI in cancer detection.

ORCID 0000-0002-5781-1213 OpenAlex
World rank
#632,264
of 7,710,434 ranked researchers
Rank in Ghana
#480
of 6,000
Works
29
Citations
444
Citations per work
15.3
h-index
9
i10-index 8Top 52% in Computer Vision and Pattern Recognition
Justice Williams Asare

What does Justice Williams Asare research?

Justice Williams Asare's work is mostly in Computer Science (28%), Medicine (21%), Agricultural and Biological Sciences (3%).

Everything else: 13 works · 45.1% of their workPhysical Sciences: 8 works · 28.2% of their workComputer Science: 8 works · 28.2% of their workComputer Vision and Pattern Recognition: 5 works · 16.9% of their workArtificial Intelligence: 3 works · 11.3% of their workHealth Sciences: 7 works · 23.9% of their workMedicine: 6 works · 21.1% of their workHematology: 4 works · 14.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 7.0% of their workHealth Professions: 1 works · 2.8% of their workHealth Information Management: 1 works · 2.8% of their workLife Sciences: 1 works · 2.8% of their workAgricultural and Biological Sciences: 1 works · 2.8% of their workPlant Science: 1 works · 2.8% of their workTHEIR WORKJustice WilliamsAsare29works
Life Sciences3%Physical Sciences28%Health Sciences24%

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. Everything else1345.1%
    1. Computer Science828.2%
    1. Medicine621.1%
    2. Health Professions12.8%
    1. Agricultural and Biological Sciences12.8%
  1. 1Computer Vision and Pattern Recognition17% of their works
  2. 2Hematology14% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Plant Science3% of their works
  6. 6Health Information Management3% of their works

Research topics

Which keywords describe Justice Williams Asare's research?

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

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
  1. Convolutional Neural Networks174 topics
  2. Machine Learning175 topics
  3. Deep Learning135 topics
  4. Medical Image Analysis112 topics
  5. Hepcidin81 topic
  6. Iron Regulation81 topic
  7. Leukemia Classification81 topic
  8. Malaria Parasite Detection81 topic
  9. Social Media42 topics
  10. COVID-1931 topic
  11. Computer-Aided Detection31 topic
  12. Face Recognition31 topic
  13. Facial Landmark Detection31 topic
  14. Histopathology Images31 topic
  15. Medical Imaging31 topic
  16. Big Data Analytics21 topic
  17. Detection21 topic
  18. Hate Speech21 topic
  19. Healthcare21 topic
  20. Opinion Mining21 topic
  21. Sentiment Analysis21 topic

Where does Justice Williams Asare work?

Justice Williams Asare's main affiliation in the publication record is Ghana Communication Technology University, Ghana.

How many publications and citations does Justice Williams Asare have?

OpenAlex counts 29 works and 444 citations for Justice Williams Asare, an h-index of 9, ranking #632,264 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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