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Researcher · ShanghaiTech University · China

Shenghua Gao

Shenghua Gao publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Human Pose and Action Recognition, Advanced Image and Video Retrieval Techniques and Advanced Vision and Imaging.

ORCID 0000-0003-1626-2040 OpenAlex
World rank
#22,676
of 7,710,434 ranked researchers
Rank in China
#1,399
of 978,568
Works
233
Citations
13k
Citations per work
57.0
h-index
56
i10-index 120Top 0.8% in Computer Vision and Pattern Recognition
Shenghua Gao

What does Shenghua Gao research?

Shenghua Gao's work is mostly in Computer Science (64%), Engineering (8%), Medicine (4%).

Physical Sciences: 170 works · 72.8% of their workComputer Science: 150 works · 64.4% of their workComputer Vision and Pattern Recognition: 110 works · 47.3% of their workArtificial Intelligence: 32 works · 13.9% of their workComputer Graphics and Computer-Aided Design: 7 works · 3.2% of their workEngineering: 20 works · 8.4% of their workComputational Mechanics: 12 works · 5.0% of their workBiomedical Engineering: 8 works · 3.4% of their workEverything else: 54 works · 23.2% of their workHealth Sciences: 9 works · 4.0% of their workMedicine: 9 works · 4.0% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 4.0% of their workTHEIR WORKShenghua Gao233works
Physical Sciences73%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 Science15064.4%
    2. Engineering208.4%
  2. Everything else5423.2%
    1. Medicine94.0%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Computational Mechanics5% of their works
  4. 4Radiology, Nuclear Medicine and Imaging4% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Computer Graphics and Computer-Aided Design3% of their works

Research topics

Which keywords describe Shenghua Gao's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Unsupervised Learning, Convolutional Neural Networks, Action Recognition, Pose Estimation, 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 20 words, with their numbers
  1. Deep Learning1986 topics
  2. Convolutional Networks832 topics
  3. Unsupervised Learning612 topics
  4. Convolutional Neural Networks522 topics
  5. Action Recognition481 topic
  6. Pose Estimation481 topic
  7. Feature Matching441 topic
  8. Local Descriptors441 topic
  9. Depth Estimation351 topic
  10. Stereo Vision351 topic
  11. Anomaly Detection321 topic
  12. Unsupervised321 topic
  13. Object Tracking271 topic
  14. Visual Tracking271 topic
  15. Domain Adaptation261 topic
  16. Transfer Learning261 topic
  17. Image Recognition251 topic
  18. Object Detection251 topic
  19. 3D Reconstruction221 topic
  20. Point Clouds221 topic

Where does Shenghua Gao work?

Shenghua Gao's main affiliation in the publication record is ShanghaiTech University, China.

How many publications and citations does Shenghua Gao have?

OpenAlex counts 233 works and 13,280 citations for Shenghua Gao, an h-index of 56, ranking #22,676 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 Shenghua Gao

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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