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Researcher · FPT University · Vietnam

Luyl-Da Quach

Luyl-Da Quach publishes mostly in Plant Science, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Smart Agriculture and AI, Advanced Neural Network Applications and Spectroscopy and Chemometric Analyses.

ORCID 0000-0002-5661-4250 OpenAlex
World rank
#1,808,198
of 7,710,434 ranked researchers
Rank in Vietnam
#1,440
of 12,105
Works
72
Citations
750
Citations per work
10.4
h-index
15
i10-index 23Top 29% in Plant Science
Luyl-Da Quach

What does Luyl-Da Quach research?

Luyl-Da Quach's work is mostly in Computer Science (30%), Agricultural and Biological Sciences (22%), Engineering (8%).

Physical Sciences: 31 works · 42.6% of their workComputer Science: 22 works · 29.9% of their workComputer Vision and Pattern Recognition: 13 works · 17.7% of their workArtificial Intelligence: 9 works · 12.2% of their workEngineering: 6 works · 7.7% of their workAutomotive Engineering: 3 works · 4.4% of their workMedia Technology: 2 works · 3.3% of their workChemistry: 4 works · 5.0% of their workAnalytical Chemistry: 4 works · 5.0% of their workEverything else: 26 works · 35.9% of their workLife Sciences: 15 works · 21.5% of their workAgricultural and Biological Sciences: 15 works · 21.5% of their workPlant Science: 15 works · 21.5% of their workTHEIR WORKLuyl-Da Quach72works
Life Sciences22%Physical Sciences43%

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 Science2229.9%
    2. Engineering67.7%
    3. Chemistry45.0%
  2. Everything else2635.9%
    1. Agricultural and Biological Sciences1521.5%
  1. 1Plant Science22% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Analytical Chemistry5% of their works
  5. 5Automotive Engineering4% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Luyl-Da Quach's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Plant Disease Detection, Smart Farming, Convolutional Neural Networks, Image Recognition, Object Detection and Food Authentication.

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 Learning645 topics
  2. Machine Learning382 topics
  3. Plant Disease Detection311 topic
  4. Smart Farming311 topic
  5. Convolutional Neural Networks222 topics
  6. Image Recognition181 topic
  7. Object Detection181 topic
  8. Food Authentication122 topics
  9. Multivariate Calibration91 topic
  10. Near-Infrared Spectroscopy91 topic
  11. Autonomous Vehicles71 topic
  12. Trajectory Prediction71 topic
  13. ALPR41 topic
  14. Automatic License Plate Recognition41 topic
  15. Image Captioning41 topic
  16. Interpretable Models41 topic
  17. Machine Learning Interpretability41 topic
  18. Visual Question Answering41 topic
  19. DNA Barcoding31 topic
  20. Fraud Detection31 topic

Where does Luyl-Da Quach work?

Luyl-Da Quach's main affiliation in the publication record is FPT University, Vietnam.

How many publications and citations does Luyl-Da Quach have?

OpenAlex counts 72 works and 750 citations for Luyl-Da Quach, an h-index of 15, ranking #1,808,198 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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