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Researcher · Ghazi University · Pakistan

Muhammad Aoun

Muhammad Aoun publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, AI in cancer detection and Chaos-based Image/Signal Encryption.

ORCID 0009-0005-3147-641X OpenAlex
World rank
#3,260,109
of 7,710,434 ranked researchers
Rank in Pakistan
#11,765
of 32,975
Works
25
Citations
86
Citations per work
3.4
h-index
4
i10-index 2Top 90% in Artificial Intelligence
Muhammad Aoun

What does Muhammad Aoun research?

Muhammad Aoun's work is mostly in Computer Science (52%), Biochemistry, Genetics and Molecular Biology (4%), Engineering (4%).

Physical Sciences: 14 works · 56.0% of their workComputer Science: 13 works · 51.5% of their workArtificial Intelligence: 6 works · 24.2% of their workComputer Vision and Pattern Recognition: 5 works · 18.2% of their workInformation Systems: 2 works · 9.1% of their workEngineering: 1 works · 4.5% of their workElectrical and Electronic Engineering: 1 works · 4.5% of their workEverything else: 9 works · 35.0% of their workLife Sciences: 1 works · 4.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.5% of their workMolecular Biology: 1 works · 4.5% of their workHealth Sciences: 1 works · 4.5% of their workMedicine: 1 works · 4.5% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.5% of their workTHEIR WORKMuhammad Aoun25works
Life Sciences4%Physical Sciences56%Health Sciences4%

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 Science1351.5%
    2. Engineering14.5%
  2. Everything else935.0%
    1. Biochemistry, Genetics and Molecular Biology14.5%
    1. Medicine14.5%
  1. 1Artificial Intelligence24% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Information Systems9% of their works
  4. 4Molecular Biology4% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Muhammad Aoun's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Machine Translation, Word Representation, Chaos, Histopathology Images and Image Encryption.

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 19 words, with their numbers
  1. Deep Learning94 topics
  2. Machine Learning73 topics
  3. Neural Networks62 topics
  4. Machine Translation41 topic
  5. Word Representation41 topic
  6. Chaos31 topic
  7. Histopathology Images31 topic
  8. Image Encryption31 topic
  9. Medical Image Analysis31 topic
  10. Brain Tumor21 topic
  11. DNA Computing21 topic
  12. Image Captioning21 topic
  13. MRI21 topic
  14. Molecular Computation21 topic
  15. Neuromorphic Photonics21 topic
  16. Photonic Reservoir Computing21 topic
  17. Reversible Data Embedding21 topic
  18. Steganography21 topic
  19. Visual Question Answering21 topic

Where does Muhammad Aoun work?

Muhammad Aoun's main affiliation in the publication record is Ghazi University, Pakistan.

How many publications and citations does Muhammad Aoun have?

OpenAlex counts 25 works and 86 citations for Muhammad Aoun, an h-index of 4, ranking #3,260,109 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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