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Researcher · Begum Rokeya University · Bangladesh

Md. Bipul Hossen

Md. Bipul Hossen publishes mostly in Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing, on topics such as Multimodal Machine Learning Applications, Gene expression and cancer classification and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-8546-5426 OpenAlex
World rank
#1,322,263
of 7,710,434 ranked researchers
Rank in Bangladesh
#1,690
of 14,256
Works
25
Citations
219
Citations per work
8.8
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Md. Bipul Hossen

What does Md. Bipul Hossen research?

Md. Bipul Hossen's work is mostly in Computer Science (58%), Biochemistry, Genetics and Molecular Biology (26%), Engineering (5%).

Physical Sciences: 16 works · 63.0% of their workComputer Science: 15 works · 58.4% of their workComputer Vision and Pattern Recognition: 12 works · 49.2% of their workInformation Systems: 1 works · 4.6% of their workSignal Processing: 1 works · 4.6% of their workEngineering: 1 works · 4.6% of their workElectrical and Electronic Engineering: 1 works · 4.6% of their workLife Sciences: 7 works · 26.1% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 26.1% of their workMolecular Biology: 5 works · 21.5% of their workGenetics: 1 works · 4.6% of their workEverything else: 3 works · 10.9% of their workTHEIR WORKMd. Bipul Hossen25works
Life Sciences26%Physical Sciences63%

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 Science1558.4%
    2. Engineering14.6%
    1. Biochemistry, Genetics and Molecular Biology726.1%
  3. Everything else310.9%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Molecular Biology22% of their works
  3. 3Signal Processing5% of their works
  4. 4Information Systems5% of their works
  5. 5Genetics5% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Md. Bipul Hossen's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Machine Learning, Visual Question Answering, Feature Matching, Gene Expression and Local Descriptors.

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 19 words, with their numbers
  1. Deep Learning264 topics
  2. Neural Networks132 topics
  3. Image Captioning111 topic
  4. Machine Learning112 topics
  5. Visual Question Answering111 topic
  6. Feature Matching81 topic
  7. Gene Expression81 topic
  8. Local Descriptors81 topic
  9. Microarray81 topic
  10. Action Recognition51 topic
  11. Pose Estimation51 topic
  12. Gene Set Enrichment Analysis41 topic
  13. Protein-Protein Interaction Networks41 topic
  14. Data Mining31 topic
  15. Frequent Patterns31 topic
  16. Generative Adversarial Networks21 topic
  17. Genome-wide Association Studies21 topic
  18. Image Synthesis21 topic
  19. Quantitative Trait Loci21 topic

Where does Md. Bipul Hossen work?

Md. Bipul Hossen's main affiliation in the publication record is Begum Rokeya University, Bangladesh.

How many publications and citations does Md. Bipul Hossen have?

OpenAlex counts 25 works and 219 citations for Md. Bipul Hossen, an h-index of 9, ranking #1,322,263 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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