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Researcher · FPT University · Vietnam

Khang Nguyen Quoc

Khang Nguyen Quoc 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 Multimodal Machine Learning Applications.

ORCID 0000-0003-4927-4822 OpenAlex
World rank
#1,808,286
of 7,710,434 ranked researchers
Rank in Vietnam
#1,441
of 12,105
Works
28
Citations
314
Citations per work
11.2
h-index
8
i10-index 8Top 63% in Plant Science
Khang Nguyen Quoc

What does Khang Nguyen Quoc research?

Khang Nguyen Quoc's work is mostly in Agricultural and Biological Sciences (41%), Computer Science (36%), Chemistry (5%).

Life Sciences: 12 works · 44.3% of their workAgricultural and Biological Sciences: 11 works · 41.0% of their workPlant Science: 11 works · 37.7% of their workGeneral Agricultural and Biological Sciences: 1 works · 3.3% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.3% of their workCell Biology: 1 works · 3.3% of their workPhysical Sciences: 11 works · 41.0% of their workComputer Science: 10 works · 36.1% of their workComputer Vision and Pattern Recognition: 6 works · 19.7% of their workArtificial Intelligence: 5 works · 16.4% of their workChemistry: 1 works · 4.9% of their workAnalytical Chemistry: 1 works · 4.9% of their workEverything else: 4 works · 14.7% of their workTHEIR WORKKhang Nguyen Quoc28works
Life Sciences44%Physical Sciences41%

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. Agricultural and Biological Sciences1141.0%
    2. Biochemistry, Genetics and Molecular Biology13.3%
    1. Computer Science1036.1%
    2. Chemistry14.9%
  3. Everything else414.7%
  1. 1Plant Science38% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Analytical Chemistry5% of their works
  5. 5General Agricultural and Biological Sciences3% of their works
  6. 6Cell Biology3% of their works

Research topics

Which keywords describe Khang Nguyen Quoc's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Plant Disease Detection, Smart Farming, Convolutional Neural Networks, Image Captioning, Image Recognition and Object 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 Learning304 topics
  2. Machine Learning182 topics
  3. Plant Disease Detection161 topic
  4. Smart Farming161 topic
  5. Convolutional Neural Networks82 topics
  6. Image Captioning61 topic
  7. Image Recognition61 topic
  8. Object Detection61 topic
  9. Visual Question Answering61 topic
  10. Host Specificity42 topics
  11. Multivariate Calibration31 topic
  12. Near-Infrared Spectroscopy31 topic
  13. Banana21 topic
  14. Endophytic Fungi21 topic
  15. Fungal Pathogens21 topic
  16. Genetics21 topic
  17. Genomics21 topic
  18. Histopathology Images21 topic
  19. Medical Image Analysis21 topic
  20. Plant Pathogenic Bacteria21 topic

Where does Khang Nguyen Quoc work?

Khang Nguyen Quoc's main affiliation in the publication record is FPT University, Vietnam.

How many publications and citations does Khang Nguyen Quoc have?

OpenAlex counts 28 works and 314 citations for Khang Nguyen Quoc, an h-index of 8, ranking #1,808,286 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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