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Researcher · Uttara University · Bangladesh

Md. Shafiul Alam Chowdhury

Md. Shafiul Alam Chowdhury publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Advanced Neural Network Applications.

ORCID 0000-0002-3019-8260 OpenAlex
World rank
#3,376,727
of 7,710,434 ranked researchers
Rank in Bangladesh
#5,514
of 14,256
Works
26
Citations
42
Citations per work
1.6
h-index
5
i10-index 1Top 82% in Artificial Intelligence
Md. Shafiul Alam Chowdhury

What does Md. Shafiul Alam Chowdhury research?

Md. Shafiul Alam Chowdhury's work is mostly in Computer Science (58%), Health Professions (4%), Agricultural and Biological Sciences (3%).

Physical Sciences: 15 works · 57.6% of their workComputer Science: 15 works · 57.6% of their workArtificial Intelligence: 7 works · 27.3% of their workComputer Vision and Pattern Recognition: 4 works · 13.6% of their workSignal Processing: 3 works · 10.6% of their workInformation Systems: 2 works · 6.1% of their workEverything else: 9 works · 34.9% of their workHealth Sciences: 1 works · 4.5% of their workHealth Professions: 1 works · 4.5% of their workHealth Information Management: 1 works · 4.5% of their workLife Sciences: 1 works · 3.0% of their workAgricultural and Biological Sciences: 1 works · 3.0% of their workForestry: 1 works · 3.0% of their workTHEIR WORKMd. Shafiul AlamChowdhury26works
Life Sciences3%Physical Sciences58%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 Science1557.6%
  2. Everything else934.9%
    1. Health Professions14.5%
    1. Agricultural and Biological Sciences13.0%
  1. 1Artificial Intelligence27% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Signal Processing11% of their works
  4. 4Information Systems6% of their works
  5. 5Health Information Management4% of their works
  6. 6Forestry3% of their works

Research topics

Which keywords describe Md. Shafiul Alam Chowdhury's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Neural Networks, Deep Neural Networks, Acoustic Modeling, Audio-Visual Speech Recognition, Healthcare and Machine Learning.

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 Learning144 topics
  2. Convolutional Neural Networks92 topics
  3. Neural Networks82 topics
  4. Deep Neural Networks72 topics
  5. Acoustic Modeling51 topic
  6. Audio-Visual Speech Recognition51 topic
  7. Healthcare52 topics
  8. Machine Learning52 topics
  9. Speaker Verification51 topic
  10. Speech Enhancement51 topic
  11. Image Recognition41 topic
  12. Object Detection41 topic
  13. Backpropagation Learning31 topic
  14. Big Data Analytics31 topic
  15. Medical Diagnosis31 topic
  16. Self-Organizing Maps31 topic
  17. Differential Privacy21 topic
  18. Electronic Health Records21 topic
  19. Federated Learning21 topic
  20. Interpretable Models21 topic
  21. Machine Learning Interpretability21 topic
  22. Predictive Modeling21 topic

Where does Md. Shafiul Alam Chowdhury work?

Md. Shafiul Alam Chowdhury's main affiliation in the publication record is Uttara University, Bangladesh.

How many publications and citations does Md. Shafiul Alam Chowdhury have?

OpenAlex counts 26 works and 42 citations for Md. Shafiul Alam Chowdhury, an h-index of 5, ranking #3,376,727 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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