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Researcher · Advanced Technologies Application Center · Cuba

Yenisel Plasencia-Calaña

Yenisel Plasencia-Calaña publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Face and Expression Recognition, Advanced Image and Video Retrieval Techniques and Face recognition and analysis.

ORCID 0000-0001-5173-0394 OpenAlex
World rank
#6,102,453
of 7,710,434 ranked researchers
Rank in Cuba
#1,942
of 7,334
Works
30
Citations
156
Citations per work
5.2
h-index
7
i10-index 4Top 69% in Computer Vision and Pattern Recognition
Yenisel Plasencia-Calaña

What does Yenisel Plasencia-Calaña research?

Yenisel Plasencia-Calaña's work is mostly in Computer Science (72%), Engineering (4%), Neuroscience (2%).

Physical Sciences: 23 works · 75.8% of their workComputer Science: 22 works · 72.2% of their workComputer Vision and Pattern Recognition: 14 works · 45.8% of their workSignal Processing: 4 works · 12.0% of their workArtificial Intelligence: 3 works · 10.8% of their workComputational Theory and Mathematics: 1 works · 3.6% of their workEngineering: 1 works · 3.6% of their workIndustrial and Manufacturing Engineering: 1 works · 3.6% of their workEverything else: 7 works · 21.8% of their workLife Sciences: 1 works · 2.4% of their workNeuroscience: 1 works · 2.4% of their workCognitive Neuroscience: 1 works · 2.4% of their workTHEIR WORKYeniselPlasencia-Calaña30works
Life Sciences2%Physical Sciences76%

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 Science2272.2%
    2. Engineering13.6%
  2. Everything else721.8%
    1. Neuroscience12.4%
  1. 1Computer Vision and Pattern Recognition46% of their works
  2. 2Signal Processing12% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Computational Theory and Mathematics4% of their works
  5. 5Industrial and Manufacturing Engineering4% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Yenisel Plasencia-Calaña's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Local Binary Patterns, Dimensionality Reduction, Feature Selection, Convolutional Neural Networks, Age Estimation and Facial Landmark Detection.

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. Deep Learning245 topics
  2. Face Recognition222 topics
  3. Local Binary Patterns202 topics
  4. Dimensionality Reduction151 topic
  5. Feature Selection151 topic
  6. Convolutional Neural Networks112 topics
  7. Age Estimation71 topic
  8. Facial Landmark Detection71 topic
  9. Feature Matching71 topic
  10. Local Descriptors71 topic
  11. Hyperparameter Optimization61 topic
  12. Noisy Labels61 topic
  13. Content-Based Image Retrieval51 topic
  14. Shape Matching51 topic
  15. Audio Signal Classification41 topic
  16. Music Information Retrieval41 topic
  17. Audio-Visual Speech Recognition31 topic
  18. Fabric Defect Detection31 topic
  19. Machine Vision31 topic
  20. Speech Enhancement31 topic

Where does Yenisel Plasencia-Calaña work?

Yenisel Plasencia-Calaña's main affiliation in the publication record is Advanced Technologies Application Center, Cuba.

How many publications and citations does Yenisel Plasencia-Calaña have?

OpenAlex counts 30 works and 156 citations for Yenisel Plasencia-Calaña, an h-index of 7, ranking #6,102,453 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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