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Researcher · Dhaka International University · Bangladesh

Md. Abdul Based

Md. Abdul Based publishes mostly in Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, on topics such as Internet Traffic Analysis and Secure E-voting, Cryptography and Data Security and Artificial Intelligence in Healthcare.

ORCID 0000-0001-7702-974X OpenAlex
World rank
#1,532,007
of 7,710,434 ranked researchers
Rank in Bangladesh
#2,004
of 14,256
Works
49
Citations
776
Citations per work
15.8
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Md. Abdul Based

What does Md. Abdul Based research?

Md. Abdul Based's work is mostly in Computer Science (47%), Engineering (8%), Health Professions (6%).

Physical Sciences: 27 works · 54.9% of their workComputer Science: 23 works · 47.4% of their workArtificial Intelligence: 15 works · 31.6% of their workComputer Vision and Pattern Recognition: 3 works · 6.8% of their workComputer Networks and Communications: 2 works · 4.5% of their workSignal Processing: 2 works · 4.5% of their workEngineering: 4 works · 7.5% of their workElectrical and Electronic Engineering: 4 works · 7.5% of their workEverything else: 19 works · 39.1% of their workHealth Sciences: 3 works · 6.0% of their workHealth Professions: 3 works · 6.0% of their workHealth Information Management: 3 works · 6.0% of their workTHEIR WORKMd. Abdul Based49works
Physical Sciences55%Health Sciences6%

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 Science2347.4%
    2. Engineering47.5%
  2. Everything else1939.1%
    1. Health Professions36.0%
  1. 1Artificial Intelligence32% of their works
  2. 2Electrical and Electronic Engineering8% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Health Information Management6% of their works
  5. 5Signal Processing4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Md. Abdul Based's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Data Mining, Healthcare, Classification, Internet Traffic, IoT Security and Big Data Analytics.

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 Learning315 topics
  2. Deep Learning275 topics
  3. Data Mining132 topics
  4. Healthcare122 topics
  5. Classification111 topic
  6. Internet Traffic111 topic
  7. IoT Security92 topics
  8. Big Data Analytics81 topic
  9. Homomorphic Encryption81 topic
  10. Identity-Based Encryption81 topic
  11. Medical Diagnosis81 topic
  12. Intrusion Detection51 topic
  13. Network Security51 topic
  14. Android Malware41 topic
  15. Detection41 topic
  16. Electronic Health Records41 topic
  17. Predictive Modeling41 topic
  18. Histopathology Images31 topic
  19. Interpretable Models31 topic
  20. Machine Learning Interpretability31 topic
  21. Medical Image Analysis31 topic

Where does Md. Abdul Based work?

Md. Abdul Based's main affiliation in the publication record is Dhaka International University, Bangladesh.

How many publications and citations does Md. Abdul Based have?

OpenAlex counts 49 works and 776 citations for Md. Abdul Based, an h-index of 9, ranking #1,532,007 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.

Discussion

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