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Researcher · Leading University · Bangladesh

Md. Jalal Uddin Chowdhury

Md. Jalal Uddin Chowdhury publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management, on topics such as Artificial Intelligence in Healthcare, Brain Tumor Detection and Classification and Machine Learning in Healthcare.

ORCID 0009-0000-8439-717X OpenAlex
World rank
#3,637,493
of 7,710,434 ranked researchers
Rank in Bangladesh
#6,067
of 14,256
Works
37
Citations
67
Citations per work
1.8
h-index
4
i10-index 1Top 90% in Artificial Intelligence
Md. Jalal Uddin Chowdhury

What does Md. Jalal Uddin Chowdhury research?

Md. Jalal Uddin Chowdhury's work is mostly in Computer Science (34%), Health Professions (8%), Neuroscience (5%).

Everything else: 15 works · 41.8% of their workPhysical Sciences: 13 works · 34.5% of their workComputer Science: 13 works · 34.5% of their workArtificial Intelligence: 9 works · 23.7% of their workComputer Vision and Pattern Recognition: 4 works · 10.8% of their workHealth Sciences: 5 works · 12.9% of their workHealth Professions: 3 works · 7.5% of their workHealth Information Management: 3 works · 7.5% of their workMedicine: 2 works · 5.4% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.4% of their workLife Sciences: 2 works · 5.4% of their workNeuroscience: 2 works · 5.4% of their workNeurology: 2 works · 5.4% of their workSocial Sciences: 2 works · 5.4% of their workPsychology: 2 works · 5.4% of their workExperimental and Cognitive Psychology: 2 works · 5.4% of their workTHEIR WORKMd. Jalal UddinChowdhury37works
Life Sciences5%Physical Sciences34%Health Sciences13%Social Sciences5%

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 else1541.8%
    1. Computer Science1334.5%
    1. Health Professions37.5%
    2. Medicine25.4%
    1. Neuroscience25.4%
    1. Psychology25.4%
  1. 1Artificial Intelligence24% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Health Information Management8% of their works
  4. 4Experimental and Cognitive Psychology5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Neurology5% of their works

Research topics

Which keywords describe Md. Jalal Uddin Chowdhury's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Healthcare, Feature Extraction, Emotion Recognition, Classification, Big Data Analytics and Medical Diagnosis.

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 Learning235 topics
  2. Machine Learning204 topics
  3. Healthcare122 topics
  4. Feature Extraction102 topics
  5. Emotion Recognition92 topics
  6. Classification82 topics
  7. Big Data Analytics71 topic
  8. Medical Diagnosis71 topic
  9. Brain Tumor51 topic
  10. Electronic Health Records51 topic
  11. Facial Expression51 topic
  12. MRI51 topic
  13. Multimodal Data51 topic
  14. Predictive Modeling51 topic
  15. Opinion Mining41 topic
  16. Plant Disease Detection41 topic
  17. Sentiment Analysis41 topic
  18. Smart Farming41 topic
  19. Imbalanced Data31 topic
  20. Interpretable Models31 topic
  21. Machine Learning Interpretability31 topic
  22. SMOTE31 topic

Where does Md. Jalal Uddin Chowdhury work?

Md. Jalal Uddin Chowdhury's main affiliation in the publication record is Leading University, Bangladesh.

How many publications and citations does Md. Jalal Uddin Chowdhury have?

OpenAlex counts 37 works and 67 citations for Md. Jalal Uddin Chowdhury, an h-index of 4, ranking #3,637,493 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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