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Researcher · Guangdong Polytechnic Normal University · China

Fangyuan Lei

Fangyuan Lei publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics, on topics such as Advanced Graph Neural Networks, Complex Network Analysis Techniques and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-2059-8818 OpenAlex
World rank
#2,331,416
of 7,710,434 ranked researchers
Rank in China
#363,000
of 978,568
Works
65
Citations
492
Citations per work
7.6
h-index
13
i10-index 16Top 30% in Computer Vision and Pattern Recognition
Fangyuan Lei

What does Fangyuan Lei research?

Fangyuan Lei's work is mostly in Computer Science (64%), Physics and Astronomy (8%), Engineering (6%).

Physical Sciences: 50 works · 76.9% of their workComputer Science: 41 works · 63.7% of their workComputer Vision and Pattern Recognition: 19 works · 28.6% of their workArtificial Intelligence: 16 works · 24.7% of their workComputer Networks and Communications: 4 works · 5.5% of their workInformation Systems: 3 works · 4.9% of their workPhysics and Astronomy: 5 works · 7.7% of their workStatistical and Nonlinear Physics: 5 works · 7.7% of their workEngineering: 4 works · 5.5% of their workMedia Technology: 4 works · 5.5% of their workEverything else: 15 works · 23.1% of their workTHEIR WORKFangyuan Lei65works
Physical Sciences77%

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 Science4163.7%
    2. Physics and Astronomy57.7%
    3. Engineering45.5%
  2. Everything else1523.1%
  1. 1Computer Vision and Pattern Recognition29% of their works
  2. 2Artificial Intelligence25% of their works
  3. 3Statistical and Nonlinear Physics8% of their works
  4. 4Media Technology6% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Fangyuan Lei's research?

The keywords of their largest research topics: Deep Learning, Graph Neural Networks, Knowledge Graph Embedding, Support Vector Machines, Community Structure, Network Dynamics, Feature Matching and Local Descriptors.

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 Learning475 topics
  2. Graph Neural Networks201 topic
  3. Knowledge Graph Embedding201 topic
  4. Support Vector Machines132 topics
  5. Community Structure121 topic
  6. Network Dynamics121 topic
  7. Feature Matching81 topic
  8. Local Descriptors81 topic
  9. Hyperspectral71 topic
  10. Image Analysis71 topic
  11. Action Recognition61 topic
  12. Collaborative Filtering61 topic
  13. Dimensionality Reduction61 topic
  14. Face Recognition61 topic
  15. Matrix Factorization61 topic
  16. Pose Estimation61 topic
  17. Caching51 topic
  18. Information-Centric Networking51 topic

Where does Fangyuan Lei work?

Fangyuan Lei's main affiliation in the publication record is Guangdong Polytechnic Normal University, China.

How many publications and citations does Fangyuan Lei have?

OpenAlex counts 65 works and 492 citations for Fangyuan Lei, an h-index of 13, ranking #2,331,416 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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