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Researcher · BRAC University · Bangladesh

Faisal Bin Ashraf

Faisal Bin Ashraf publishes mostly in Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health, on topics such as vaccines and immunoinformatics approaches, Advanced Text Analysis Techniques and Monoclonal and Polyclonal Antibodies Research.

ORCID 0000-0003-4006-5389 OpenAlex
World rank
#2,425,806
of 7,710,434 ranked researchers
Rank in Bangladesh
#3,624
of 14,256
Works
72
Citations
575
Citations per work
8.0
h-index
12
i10-index 16Top 65% in Molecular Biology
Faisal Bin Ashraf

What does Faisal Bin Ashraf research?

Faisal Bin Ashraf's work is mostly in Computer Science (27%), Biochemistry, Genetics and Molecular Biology (20%), Medicine (10%).

Everything else: 31 works · 42.4% of their workPhysical Sciences: 20 works · 27.4% of their workComputer Science: 20 works · 27.4% of their workArtificial Intelligence: 13 works · 17.6% of their workComputer Vision and Pattern Recognition: 4 works · 4.9% of their workInformation Systems: 4 works · 4.9% of their workLife Sciences: 14 works · 19.8% of their workBiochemistry, Genetics and Molecular Biology: 14 works · 19.8% of their workMolecular Biology: 14 works · 19.8% of their workHealth Sciences: 7 works · 10.4% of their workMedicine: 7 works · 10.4% of their workPublic Health, Environmental and Occupational Health: 4 works · 5.5% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 4.9% of their workTHEIR WORKFaisal Bin Ashraf72works
Life Sciences20%Physical Sciences27%Health Sciences10%

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 else3142.4%
    1. Computer Science2027.4%
    1. Biochemistry, Genetics and Molecular Biology1419.8%
    1. Medicine710.4%
  1. 1Molecular Biology20% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Public Health, Environmental and Occupational Health6% of their works
  4. 4Computer Vision and Pattern Recognition5% of their works
  5. 5Information Systems5% of their works
  6. 6Radiology, Nuclear Medicine and Imaging5% of their works

Research topics

Which keywords describe Faisal Bin Ashraf's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Automatic, Epitope Prediction, Extraction, Fc Receptors, Peptide-MHC Binding and Therapeutic Antibodies.

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 18 words, with their numbers
  1. Machine Learning153 topics
  2. Deep Learning102 topics
  3. Automatic61 topic
  4. Epitope Prediction61 topic
  5. Extraction61 topic
  6. Fc Receptors61 topic
  7. Peptide-MHC Binding61 topic
  8. Therapeutic Antibodies61 topic
  9. Coronavirus51 topic
  10. Gene Expression51 topic
  11. Histopathology Images51 topic
  12. Medical Image Analysis51 topic
  13. Microarray51 topic
  14. Opinion Mining51 topic
  15. SARS-CoV-251 topic
  16. Sentiment Analysis51 topic
  17. Gene Set Enrichment Analysis41 topic
  18. Protein-Protein Interaction Networks41 topic

Where does Faisal Bin Ashraf work?

Faisal Bin Ashraf's main affiliation in the publication record is BRAC University, Bangladesh.

How many publications and citations does Faisal Bin Ashraf have?

OpenAlex counts 72 works and 575 citations for Faisal Bin Ashraf, an h-index of 12, ranking #2,425,806 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.

Other researchers named Faisal Bin Ashraf

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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