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Researcher · Gomal University · Pakistan

Junaid Asghar

Junaid Asghar publishes mostly in Artificial Intelligence, Health Information Management and Molecular Biology, on topics such as Artificial Intelligence in Healthcare, Neuropeptides and Animal Physiology and Imbalanced Data Classification Techniques.

ORCID 0000-0003-2218-0789 OpenAlex
World rank
#952,916
of 7,710,434 ranked researchers
Rank in Pakistan
#2,934
of 32,975
Works
28
Citations
756
Citations per work
27.0
h-index
14
i10-index 16Top 25% in Artificial Intelligence
Junaid Asghar

What does Junaid Asghar research?

Junaid Asghar's work is mostly in Computer Science (17%), Biochemistry, Genetics and Molecular Biology (7%), Pharmacology, Toxicology and Pharmaceutics (7%).

Everything else: 16 works · 57.9% of their workLife Sciences: 5 works · 18.2% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 7.0% of their workMolecular Biology: 2 works · 7.0% of their workPharmacology, Toxicology and Pharmaceutics: 2 works · 7.0% of their workPharmaceutical Science: 2 works · 7.0% of their workNeuroscience: 1 works · 4.2% of their workCellular and Molecular Neuroscience: 1 works · 4.2% of their workPhysical Sciences: 5 works · 16.9% of their workComputer Science: 5 works · 16.9% of their workArtificial Intelligence: 3 works · 9.9% of their workComputer Vision and Pattern Recognition: 2 works · 7.0% of their workHealth Sciences: 2 works · 7.0% of their workHealth Professions: 2 works · 7.0% of their workHealth Information Management: 2 works · 7.0% of their workTHEIR WORKJunaid Asghar28works
Life Sciences18%Physical Sciences17%Health Sciences7%

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 else1657.9%
    1. Biochemistry, Genetics and Molecular Biology27.0%
    2. Pharmacology, Toxicology and Pharmaceutics27.0%
    3. Neuroscience14.2%
    1. Computer Science516.9%
    1. Health Professions27.0%
  1. 1Artificial Intelligence10% of their works
  2. 2Health Information Management7% of their works
  3. 3Molecular Biology7% of their works
  4. 4Pharmaceutical Science7% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Cellular and Molecular Neuroscience4% of their works

Research topics

Which keywords describe Junaid Asghar's research?

The keywords of their largest research topics: Machine Learning, Big Data Analytics, Classification, Feature Extraction, Healthcare, Imbalanced Data, 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.

All 19 words, with their numbers
  1. Machine Learning103 topics
  2. Big Data Analytics51 topic
  3. Classification52 topics
  4. Feature Extraction52 topics
  5. Healthcare51 topic
  6. Imbalanced Data31 topic
  7. Leukemia Classification31 topic
  8. Malaria Parasite Detection31 topic
  9. Neuropeptides31 topic
  10. Receptors31 topic
  11. SMOTE31 topic
  12. Brain Tumor21 topic
  13. Chaperone21 topic
  14. Crystal Structure21 topic
  15. G-Protein-Coupled Receptors21 topic
  16. MRI21 topic
  17. Microneedles21 topic
  18. Sigma-1 Receptor21 topic
  19. Solid Lipid Nanoparticles21 topic

Where does Junaid Asghar work?

Junaid Asghar's main affiliation in the publication record is Gomal University, Pakistan.

How many publications and citations does Junaid Asghar have?

OpenAlex counts 28 works and 756 citations for Junaid Asghar, an h-index of 14, ranking #952,916 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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