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Researcher · Southeast University · Bangladesh

Khandaker Mohammad Mohi Uddin

Khandaker Mohammad Mohi Uddin publishes mostly in Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, on topics such as Artificial Intelligence in Healthcare, AI in cancer detection and Explainable Artificial Intelligence (XAI).

ORCID 0000-0002-5401-0437 OpenAlex
World rank
#775,251
of 7,710,434 ranked researchers
Rank in Bangladesh
#905
of 14,256
Works
138
Citations
1.1k
Citations per work
8.1
h-index
17
i10-index 26Top 18% in Artificial Intelligence
Khandaker Mohammad Mohi Uddin

What does Khandaker Mohammad Mohi Uddin research?

Khandaker Mohammad Mohi Uddin's work is mostly in Computer Science (36%), Health Professions (11%), Medicine (7%).

Everything else: 59 works · 42.9% of their workPhysical Sciences: 54 works · 39.3% of their workComputer Science: 49 works · 35.7% of their workArtificial Intelligence: 33 works · 24.2% of their workComputer Vision and Pattern Recognition: 12 works · 8.8% of their workComputer Networks and Communications: 4 works · 2.7% of their workEngineering: 5 works · 3.6% of their workElectrical and Electronic Engineering: 5 works · 3.6% of their workHealth Sciences: 25 works · 17.8% of their workHealth Professions: 15 works · 10.7% of their workHealth Information Management: 15 works · 10.7% of their workMedicine: 10 works · 7.1% of their workRadiology, Nuclear Medicine and Imaging: 10 works · 7.1% of their workTHEIR WORKKhandakerMohammad Mohi…138works
Physical Sciences39%Health Sciences18%

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 else5942.9%
    1. Computer Science4935.7%
    2. Engineering53.6%
    1. Health Professions1510.7%
    2. Medicine107.1%
  1. 1Artificial Intelligence24% of their works
  2. 2Health Information Management11% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Khandaker Mohammad Mohi Uddin's research?

The keywords of their largest research topics: Machine Learning, Healthcare, Deep Learning, Convolutional Neural Networks, Big Data Analytics, Medical Diagnosis, Medical Image Analysis and Precision Medicine.

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 25 words, with their numbers
  1. Machine Learning894 topics
  2. Healthcare542 topics
  3. Deep Learning493 topics
  4. Convolutional Neural Networks433 topics
  5. Big Data Analytics391 topic
  6. Medical Diagnosis391 topic
  7. Medical Image Analysis362 topics
  8. Precision Medicine292 topics
  9. Predictive Modeling292 topics
  10. Computer-Aided Detection271 topic
  11. Histopathology Images271 topic
  12. Feature Extraction232 topics
  13. Medical Imaging212 topics
  14. Interpretable Models181 topic
  15. Machine Learning Interpretability181 topic
  16. Electronic Health Records151 topic
  17. Patient Similarity151 topic
  18. Quantitative Analysis141 topic
  19. Radiomics141 topic
  20. Classification91 topic
  21. Imbalanced Data91 topic
  22. Leukemia Classification91 topic
  23. Malaria Parasite Detection91 topic
  24. COVID-1971 topic
  25. Chest X-Ray71 topic

Where does Khandaker Mohammad Mohi Uddin work?

Khandaker Mohammad Mohi Uddin's main affiliation in the publication record is Southeast University, Bangladesh.

How many publications and citations does Khandaker Mohammad Mohi Uddin have?

OpenAlex counts 138 works and 1,113 citations for Khandaker Mohammad Mohi Uddin, an h-index of 17, ranking #775,251 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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