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Researcher · Tongji University · China

Quanquan Li

Quanquan Li publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, on topics such as Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0002-8518-2346 OpenAlex
World rank
#2,493,051
of 7,710,434 ranked researchers
Rank in China
#389,705
of 978,568
Works
26
Citations
1.1k
Citations per work
43.2
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Quanquan Li

What does Quanquan Li research?

Quanquan Li's work is mostly in Computer Science (66%), Engineering (9%), Medicine (4%).

Physical Sciences: 20 works · 75.7% of their workComputer Science: 17 works · 66.2% of their workComputer Vision and Pattern Recognition: 13 works · 48.6% of their workArtificial Intelligence: 3 works · 10.8% of their workHardware and Architecture: 2 works · 6.8% of their workEngineering: 2 works · 9.5% of their workElectrical and Electronic Engineering: 1 works · 5.4% of their workAerospace Engineering: 1 works · 4.1% of their workEverything else: 5 works · 20.2% of their workHealth Sciences: 1 works · 4.1% of their workMedicine: 1 works · 4.1% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.1% of their workTHEIR WORKQuanquan Li26works
Physical Sciences76%Health Sciences4%

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 Science1766.2%
    2. Engineering29.5%
  2. Everything else520.2%
    1. Medicine14.1%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Hardware and Architecture7% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Aerospace Engineering4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Quanquan Li's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Object Detection, Feature Matching, Local Descriptors, Transfer Learning and Domain Adaptation.

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.

All 19 words, with their numbers
  1. Deep Learning345 topics
  2. Convolutional Neural Networks233 topics
  3. Image Recognition161 topic
  4. Object Detection161 topic
  5. Feature Matching91 topic
  6. Local Descriptors91 topic
  7. Transfer Learning92 topics
  8. Domain Adaptation61 topic
  9. Few-Shot Learning61 topic
  10. Object Tracking41 topic
  11. Visual Tracking41 topic
  12. COVID-1931 topic
  13. Medical Imaging31 topic
  14. Interconnection Networks21 topic
  15. Networks on Chip21 topic
  16. Neural Networks21 topic
  17. Parallel Computing21 topic
  18. Performance Optimization21 topic
  19. Self-Organizing Maps21 topic

Where does Quanquan Li work?

Quanquan Li's main affiliation in the publication record is Tongji University, China.

How many publications and citations does Quanquan Li have?

OpenAlex counts 26 works and 1,123 citations for Quanquan Li, an h-index of 10, ranking #2,493,051 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

Other researchers named Quanquan Li

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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