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Researcher · Beijing Normal University · China

Ping Guo

Ping Guo publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Image Retrieval and Classification Techniques, Neural Networks and Applications and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-7122-1084 OpenAlex
World rank
#2,433,476
of 7,710,434 ranked researchers
Rank in China
#379,958
of 978,568
Works
822
Citations
9.9k
Citations per work
12.0
h-index
46
i10-index 240Top 1.5% in Computer Vision and Pattern Recognition
Ping Guo

What does Ping Guo research?

Ping Guo's work is mostly in Computer Science (31%), Engineering (11%).

Everything else: 474 works · 57.7% of their workPhysical Sciences: 348 works · 42.3% of their workComputer Science: 256 works · 31.1% of their workComputer Vision and Pattern Recognition: 129 works · 15.7% of their workArtificial Intelligence: 92 works · 11.2% of their workComputer Networks and Communications: 35 works · 4.2% of their workEngineering: 92 works · 11.2% of their workElectrical and Electronic Engineering: 32 works · 3.9% of their workMedia Technology: 31 works · 3.8% of their workOcean Engineering: 29 works · 3.5% of their workTHEIR WORKPing Guo822works
Physical Sciences42%

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 else47457.7%
    1. Computer Science25631.1%
    2. Engineering9211.2%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Computer Networks and Communications4% of their works
  4. 4Electrical and Electronic Engineering4% of their works
  5. 5Media Technology4% of their works
  6. 6Ocean Engineering4% of their works

Research topics

Which keywords describe Ping Guo's research?

The keywords of their largest research topics: Deep Learning, Local Binary Patterns, Support Vector Machines, Content-Based Image Retrieval, Shape Matching, Neural Networks, Self-Organizing Maps and Feature Matching.

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 19 words, with their numbers
  1. Deep Learning1884 topics
  2. Local Binary Patterns1102 topics
  3. Support Vector Machines882 topics
  4. Content-Based Image Retrieval651 topic
  5. Shape Matching651 topic
  6. Neural Networks591 topic
  7. Self-Organizing Maps591 topic
  8. Feature Matching541 topic
  9. Local Descriptors541 topic
  10. Dimensionality Reduction451 topic
  11. Face Recognition451 topic
  12. Hyperspectral431 topic
  13. Image Analysis431 topic
  14. Hydraulic Fracturing371 topic
  15. Shale Gas Reservoirs371 topic
  16. Image Denoising321 topic
  17. Sparse Representations321 topic
  18. Pore Structure311 topic
  19. Shale Gas311 topic

Where does Ping Guo work?

Ping Guo's main affiliation in the publication record is Beijing Normal University, China.

How many publications and citations does Ping Guo have?

OpenAlex counts 822 works and 9,899 citations for Ping Guo, an h-index of 46, ranking #2,433,476 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.

Other researchers named Ping Guo

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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