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Researcher · United Institute of Informatics Problems · Belarus

Vitali Liauchuk

Vitali Liauchuk publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Radiomics and Machine Learning in Medical Imaging, Image Retrieval and Classification Techniques and Multimodal Machine Learning Applications.

ORCID 0000-0001-9686-3705 OpenAlex
World rank
#3,719,133
of 7,710,434 ranked researchers
Rank in Belarus
#265
of 4,813
Works
33
Citations
4.1k
Citations per work
125.0
h-index
12
i10-index 14Top 34% in Computer Vision and Pattern Recognition
Vitali Liauchuk

What does Vitali Liauchuk research?

Vitali Liauchuk's work is mostly in Computer Science (42%), Medicine (35%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 14 works · 41.9% of their workComputer Science: 14 works · 41.9% of their workComputer Vision and Pattern Recognition: 10 works · 31.4% of their workArtificial Intelligence: 3 works · 10.5% of their workHealth Sciences: 12 works · 34.9% of their workMedicine: 12 works · 34.9% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 19.8% of their workInfectious Diseases: 3 works · 9.3% of their workEpidemiology: 2 works · 5.8% of their workEverything else: 6 works · 17.4% of their workLife Sciences: 2 works · 5.8% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 5.8% of their workMolecular Biology: 2 works · 5.8% of their workTHEIR WORKVitali Liauchuk33works
Life Sciences6%Physical Sciences42%Health Sciences35%

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 Science1441.9%
    1. Medicine1234.9%
  3. Everything else617.4%
    1. Biochemistry, Genetics and Molecular Biology25.8%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Radiology, Nuclear Medicine and Imaging20% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Infectious Diseases9% of their works
  5. 5Epidemiology6% of their works
  6. 6Molecular Biology6% of their works

Research topics

Which keywords describe Vitali Liauchuk's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Diagnosis, Epidemiology, Medical Imaging, Radiomics, Content-Based Image Retrieval and Image Captioning.

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 20 words, with their numbers
  1. Machine Learning273 topics
  2. Deep Learning213 topics
  3. Diagnosis132 topics
  4. Epidemiology132 topics
  5. Medical Imaging121 topic
  6. Radiomics121 topic
  7. Content-Based Image Retrieval81 topic
  8. Image Captioning81 topic
  9. Mycobacterium tuberculosis81 topic
  10. Shape Matching81 topic
  11. Tuberculosis81 topic
  12. Visual Question Answering81 topic
  13. Histopathology Images71 topic
  14. Medical Image Analysis71 topic
  15. Feature Matching61 topic
  16. Local Descriptors61 topic
  17. Biomedical Ontologies51 topic
  18. Mycobacterium avium51 topic
  19. Nontuberculous Mycobacteria51 topic
  20. Text Mining51 topic

Where does Vitali Liauchuk work?

Vitali Liauchuk's main affiliation in the publication record is United Institute of Informatics Problems, Belarus.

How many publications and citations does Vitali Liauchuk have?

OpenAlex counts 33 works and 4,125 citations for Vitali Liauchuk, an h-index of 12, ranking #3,719,133 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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