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Researcher · Australian Centre for Robotic Vision · Australia

Yongliang Qiao

Yongliang Qiao publishes mostly in Plant Science, Computer Vision and Pattern Recognition and Oceanography, on topics such as Smart Agriculture and AI, Food Supply Chain Traceability and Animal Behavior and Welfare Studies.

ORCID 0000-0003-2142-0154 OpenAlex
World rank
#357,959
of 7,710,434 ranked researchers
Rank in Australia
#12,602
of 140,210
Works
98
Citations
2.6k
Citations per work
26.7
h-index
27
i10-index 52Top 9% in Plant Science
Yongliang Qiao

What does Yongliang Qiao research?

Yongliang Qiao's work is mostly in Agricultural and Biological Sciences (25%), Computer Science (17%), Earth and Planetary Sciences (8%).

Everything else: 33 works · 33.8% of their workPhysical Sciences: 32 works · 33.1% of their workComputer Science: 17 works · 17.1% of their workComputer Vision and Pattern Recognition: 17 works · 17.1% of their workEarth and Planetary Sciences: 8 works · 8.2% of their workOceanography: 8 works · 8.2% of their workEnvironmental Science: 8 works · 7.8% of their workEcology: 8 works · 7.8% of their workLife Sciences: 25 works · 25.3% of their workAgricultural and Biological Sciences: 25 works · 25.3% of their workPlant Science: 17 works · 17.5% of their workFood Science: 8 works · 7.8% of their workHealth Sciences: 8 works · 7.8% of their workVeterinary: 8 works · 7.8% of their workSmall Animals: 8 works · 7.8% of their workTHEIR WORKYongliang Qiao98works
Life Sciences25%Physical Sciences33%Health Sciences8%

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. Everything else3333.8%
    1. Computer Science1717.1%
    2. Earth and Planetary Sciences88.2%
    3. Environmental Science87.8%
    1. Agricultural and Biological Sciences2525.3%
    1. Veterinary87.8%
  1. 1Plant Science18% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Oceanography8% of their works
  4. 4Ecology8% of their works
  5. 5Small Animals8% of their works
  6. 6Food Science8% of their works

Research topics

Which keywords describe Yongliang Qiao's research?

The keywords of their largest research topics: Deep Learning, Plant Disease Detection, Smart Farming, Coastal Protection, Animal Welfare, Food Supply Chain, Stress Indicators and Traceability.

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 18 words, with their numbers
  1. Deep Learning553 topics
  2. Plant Disease Detection331 topic
  3. Smart Farming331 topic
  4. Coastal Protection252 topics
  5. Animal Welfare211 topic
  6. Food Supply Chain211 topic
  7. Stress Indicators211 topic
  8. Traceability211 topic
  9. Kelp Forests141 topic
  10. Seagrasses141 topic
  11. Feature Matching131 topic
  12. Local Descriptors131 topic
  13. Carbon Sequestration111 topic
  14. Mangrove Forests111 topic
  15. 3D Mapping101 topic
  16. SLAM101 topic
  17. Object Tracking91 topic
  18. Visual Tracking91 topic

Where does Yongliang Qiao work?

Yongliang Qiao's main affiliation in the publication record is Australian Centre for Robotic Vision, Australia.

How many publications and citations does Yongliang Qiao have?

OpenAlex counts 98 works and 2,618 citations for Yongliang Qiao, an h-index of 27, ranking #357,959 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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