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Researcher · Lamar University · United States

Md Amzad Sadik Abid

Md Amzad Sadik Abid publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as Brain Tumor Detection and Classification, COVID-19 diagnosis using AI and Advanced Neural Network Applications.

ORCID 0009-0009-5828-1793 OpenAlex
World rank
#2,767,414
of 7,710,434 ranked researchers
Rank in United States
#804,485
of 1,627,098
Works
23
Citations
52
Citations per work
2.3
h-index
6
i10-index 0Top 74% in Artificial Intelligence
Md Amzad Sadik Abid

What does Md Amzad Sadik Abid research?

Md Amzad Sadik Abid's work is mostly in Computer Science (27%), Medicine (10%), Biochemistry, Genetics and Molecular Biology (8%).

Everything else: 10 works · 41.8% of their workPhysical Sciences: 8 works · 33.9% of their workComputer Science: 6 works · 27.4% of their workArtificial Intelligence: 4 works · 16.1% of their workComputer Vision and Pattern Recognition: 3 works · 11.3% of their workEngineering: 1 works · 6.5% of their workElectrical and Electronic Engineering: 1 works · 6.5% of their workLife Sciences: 3 works · 14.6% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 8.1% of their workMolecular Biology: 2 works · 8.1% of their workNeuroscience: 1 works · 6.5% of their workNeurology: 1 works · 6.5% of their workHealth Sciences: 2 works · 9.7% of their workMedicine: 2 works · 9.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 9.7% of their workTHEIR WORKMd Amzad SadikAbid23works
Life Sciences15%Physical Sciences34%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 else1041.8%
    1. Computer Science627.4%
    2. Engineering16.5%
    1. Biochemistry, Genetics and Molecular Biology28.1%
    2. Neuroscience16.5%
    1. Medicine29.7%
  1. 1Artificial Intelligence16% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Radiology, Nuclear Medicine and Imaging10% of their works
  4. 4Molecular Biology8% of their works
  5. 5Neurology6% of their works
  6. 6Electrical and Electronic Engineering6% of their works

Research topics

Which keywords describe Md Amzad Sadik Abid's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Imaging, Transfer Learning, Convolutional Neural Networks, Bioinformatics, Brain Tumor and Chest X-Ray.

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 22 words, with their numbers
  1. Deep Learning134 topics
  2. Machine Learning104 topics
  3. Medical Imaging82 topics
  4. Transfer Learning82 topics
  5. Convolutional Neural Networks72 topics
  6. Bioinformatics42 topics
  7. Brain Tumor41 topic
  8. COVID-1941 topic
  9. Chest X-Ray41 topic
  10. MRI41 topic
  11. Image Recognition31 topic
  12. Object Detection31 topic
  13. Gene Expression21 topic
  14. Interpretable Models21 topic
  15. Machine Learning Interpretability21 topic
  16. Microarray21 topic
  17. Multivariate Calibration21 topic
  18. Near-Infrared Spectroscopy21 topic
  19. Plant Disease Detection21 topic
  20. Protein21 topic
  21. Smart Farming21 topic
  22. Subcellular Localization21 topic

Where does Md Amzad Sadik Abid work?

Md Amzad Sadik Abid's main affiliation in the publication record is Lamar University, United States.

How many publications and citations does Md Amzad Sadik Abid have?

OpenAlex counts 23 works and 52 citations for Md Amzad Sadik Abid, an h-index of 6, ranking #2,767,414 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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