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Researcher · Bangladesh University · Bangladesh

Safiul Haque Chowdhury

Safiul Haque Chowdhury publishes mostly in Artificial Intelligence, Health Information Management and Radiology, Nuclear Medicine and Imaging, on topics such as Artificial Intelligence in Healthcare, Machine Learning in Healthcare and Explainable Artificial Intelligence (XAI).

ORCID 0009-0003-7098-2476 OpenAlex
World rank
#620,267
of 7,710,434 ranked researchers
Rank in Bangladesh
#674
of 14,256
Works
37
Citations
195
Citations per work
5.3
h-index
8
i10-index 5Top 56% in Artificial Intelligence
Safiul Haque Chowdhury

What does Safiul Haque Chowdhury research?

Safiul Haque Chowdhury's work is mostly in Computer Science (39%), Health Professions (11%), Medicine (9%).

Physical Sciences: 16 works · 42.7% of their workComputer Science: 15 works · 39.3% of their workArtificial Intelligence: 15 works · 39.3% of their workEngineering: 1 works · 3.4% of their workElectrical and Electronic Engineering: 1 works · 3.4% of their workEverything else: 12 works · 32.6% of their workHealth Sciences: 7 works · 20.2% of their workHealth Professions: 4 works · 11.2% of their workHealth Information Management: 4 works · 11.2% of their workMedicine: 3 works · 9.0% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.6% of their workPulmonary and Respiratory Medicine: 1 works · 3.4% of their workSocial Sciences: 2 works · 4.5% of their workDecision Sciences: 2 works · 4.5% of their workManagement Science and Operations Research: 2 works · 4.5% of their workTHEIR WORKSafiul HaqueChowdhury37works
Physical Sciences43%Health Sciences20%Social 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 Science1539.3%
    2. Engineering13.4%
  2. Everything else1232.6%
    1. Health Professions411.2%
    2. Medicine39.0%
    1. Decision Sciences24.5%
  1. 1Artificial Intelligence39% of their works
  2. 2Health Information Management11% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Electrical and Electronic Engineering3% of their works
  6. 6Pulmonary and Respiratory Medicine3% of their works

Research topics

Which keywords describe Safiul Haque Chowdhury's research?

The keywords of their largest research topics: Machine Learning, Healthcare, Deep Learning, Data Mining, Big Data Analytics, Medical Diagnosis, Electronic Health Records and Predictive Modeling.

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 21 words, with their numbers
  1. Machine Learning235 topics
  2. Healthcare192 topics
  3. Deep Learning163 topics
  4. Data Mining132 topics
  5. Big Data Analytics101 topic
  6. Medical Diagnosis101 topic
  7. Electronic Health Records91 topic
  8. Predictive Modeling91 topic
  9. Interpretable Models81 topic
  10. Machine Learning Interpretability81 topic
  11. Classification62 topics
  12. Histopathology Images41 topic
  13. Medical Image Analysis41 topic
  14. Brain Tumor31 topic
  15. Differential Privacy31 topic
  16. Federated Learning31 topic
  17. Forecasting31 topic
  18. Imbalanced Data31 topic
  19. MRI31 topic
  20. SMOTE31 topic
  21. Solar Radiation31 topic

Where does Safiul Haque Chowdhury work?

Safiul Haque Chowdhury's main affiliation in the publication record is Bangladesh University, Bangladesh.

How many publications and citations does Safiul Haque Chowdhury have?

OpenAlex counts 37 works and 195 citations for Safiul Haque Chowdhury, an h-index of 8, ranking #620,267 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.

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