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Researcher · Sejong University · South Korea

L. Minh Dang

L. Minh Dang publishes mostly in Computer Vision and Pattern Recognition, Civil and Structural Engineering and Plant Science, on topics such as Smart Agriculture and AI, Infrastructure Maintenance and Monitoring and Advanced Neural Network Applications.

ORCID 0000-0001-7691-3453 OpenAlex
World rank
#137,044
of 7,710,434 ranked researchers
Rank in South Korea
#711
of 162,609
Works
99
Citations
4.1k
Citations per work
41.1
h-index
31
i10-index 52Top 4.7% in Computer Vision and Pattern Recognition
L. Minh Dang

What does L. Minh Dang research?

L. Minh Dang's work is mostly in Computer Science (24%), Engineering (22%), Agricultural and Biological Sciences (10%).

Physical Sciences: 49 works · 49.0% of their workComputer Science: 24 works · 23.8% of their workComputer Vision and Pattern Recognition: 19 works · 19.6% of their workArtificial Intelligence: 4 works · 4.2% of their workEngineering: 21 works · 21.7% of their workCivil and Structural Engineering: 13 works · 13.3% of their workElectrical and Electronic Engineering: 8 works · 8.4% of their workEnvironmental Science: 3 works · 3.5% of their workEcology: 3 works · 3.5% of their workEverything else: 40 works · 40.8% of their workLife Sciences: 10 works · 10.2% of their workAgricultural and Biological Sciences: 10 works · 10.2% of their workPlant Science: 10 works · 10.2% of their workTHEIR WORKL. Minh Dang99works
Life Sciences10%Physical Sciences49%

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 Science2423.8%
    2. Engineering2121.7%
    3. Environmental Science33.5%
  2. Everything else4040.8%
    1. Agricultural and Biological Sciences1010.2%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Civil and Structural Engineering13% of their works
  3. 3Plant Science10% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Ecology4% of their works

Research topics

Which keywords describe L. Minh Dang's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Processing, Machine Learning, Computer Vision, Plant Disease Detection, Smart Farming and Crack 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 21 words, with their numbers
  1. Deep Learning514 topics
  2. Convolutional Neural Networks394 topics
  3. Image Processing383 topics
  4. Machine Learning282 topics
  5. Computer Vision192 topics
  6. Plant Disease Detection181 topic
  7. Smart Farming181 topic
  8. Crack Detection141 topic
  9. Pavement141 topic
  10. Image Recognition131 topic
  11. Object Detection131 topic
  12. Leak Detection101 topic
  13. Remote Sensing101 topic
  14. Vegetation Monitoring101 topic
  15. Water Distribution Networks101 topic
  16. Seismic81 topic
  17. Tunnel81 topic
  18. Fire Detection61 topic
  19. Object Tracking61 topic
  20. Smoke Detection61 topic
  21. Visual Tracking61 topic

Where does L. Minh Dang work?

L. Minh Dang's main affiliation in the publication record is Sejong University, South Korea.

How many publications and citations does L. Minh Dang have?

OpenAlex counts 99 works and 4,064 citations for L. Minh Dang, an h-index of 31, ranking #137,044 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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