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Researcher · University of Hong Kong · China

Ping Luo

Ping Luo publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-6685-7950 OpenAlex
World rank
#23,684
of 7,710,434 ranked researchers
Rank in China
#1,474
of 978,568
Works
588
Citations
55k
Citations per work
93.5
h-index
96
i10-index 277Top 0.1% in Computer Vision and Pattern Recognition
Ping Luo

What does Ping Luo research?

Ping Luo's work is mostly in Computer Science (63%), Engineering (2%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 387 works · 65.9% of their workComputer Science: 373 works · 63.4% of their workComputer Vision and Pattern Recognition: 272 works · 46.3% of their workArtificial Intelligence: 91 works · 15.5% of their workSignal Processing: 9 works · 1.6% of their workEngineering: 15 works · 2.5% of their workElectrical and Electronic Engineering: 15 works · 2.5% of their workEverything else: 177 works · 30.1% of their workLife Sciences: 24 works · 4.0% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 2.1% of their workMolecular Biology: 12 works · 2.1% of their workImmunology and Microbiology: 11 works · 1.9% of their workImmunology: 11 works · 1.9% of their workTHEIR WORKPing Luo588works
Life Sciences4%Physical Sciences66%

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 Science37363.4%
    2. Engineering152.5%
  2. Everything else17730.1%
    1. Biochemistry, Genetics and Molecular Biology122.1%
    2. Immunology and Microbiology111.9%
  1. 1Computer Vision and Pattern Recognition46% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Electrical and Electronic Engineering2% of their works
  4. 4Molecular Biology2% of their works
  5. 5Immunology2% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Ping Luo's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Representation Learning, Unsupervised Learning, Image Recognition, Object Detection, Neural Networks 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 22 words, with their numbers
  1. Deep Learning5707 topics
  2. Convolutional Neural Networks2793 topics
  3. Representation Learning1782 topics
  4. Unsupervised Learning1782 topics
  5. Image Recognition1641 topic
  6. Object Detection1641 topic
  7. Neural Networks1402 topics
  8. Domain Adaptation1151 topic
  9. Transfer Learning1151 topic
  10. Pose Estimation1082 topics
  11. Feature Matching941 topic
  12. Local Descriptors941 topic
  13. Image Captioning771 topic
  14. Visual Question Answering771 topic
  15. Object Tracking641 topic
  16. Visual Tracking641 topic
  17. Generative Adversarial Networks631 topic
  18. Image Synthesis631 topic
  19. Action Recognition571 topic
  20. Spatiotemporal Features571 topic
  21. Face Recognition511 topic
  22. Facial Landmark Detection511 topic

Where does Ping Luo work?

Ping Luo's main affiliation in the publication record is University of Hong Kong, China.

How many publications and citations does Ping Luo have?

OpenAlex counts 588 works and 54,994 citations for Ping Luo, an h-index of 96, ranking #23,684 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 Ping Luo

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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