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Researcher · Tencent (China) · China

Bin-Bin Gao

Bin-Bin Gao publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques and Anomaly Detection Techniques and Applications.

ORCID 0000-0003-2572-8156 OpenAlex
World rank
#236,454
of 7,710,434 ranked researchers
Rank in China
#24,717
of 978,568
Works
71
Citations
1.9k
Citations per work
26.8
h-index
19
i10-index 26Top 15% in Computer Vision and Pattern Recognition
Bin-Bin Gao

What does Bin-Bin Gao research?

Bin-Bin Gao's work is mostly in Computer Science (80%), Engineering (8%), Medicine (4%).

Physical Sciences: 62 works · 87.7% of their workComputer Science: 57 works · 80.2% of their workComputer Vision and Pattern Recognition: 31 works · 43.9% of their workArtificial Intelligence: 23 works · 32.3% of their workSignal Processing: 3 works · 4.0% of their workEngineering: 5 works · 7.5% of their workMedia Technology: 3 works · 4.0% of their workControl and Systems Engineering: 2 works · 3.5% of their workEverything else: 6 works · 7.8% of their workHealth Sciences: 3 works · 4.5% of their workMedicine: 3 works · 4.5% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 4.5% of their workTHEIR WORKBin-Bin Gao71works
Physical Sciences88%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 Science5780.2%
    2. Engineering57.5%
  2. Everything else67.8%
    1. Medicine34.5%
  1. 1Computer Vision and Pattern Recognition44% of their works
  2. 2Artificial Intelligence32% of their works
  3. 3Radiology, Nuclear Medicine and Imaging4% of their works
  4. 4Media Technology4% of their works
  5. 5Signal Processing4% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Bin-Bin Gao's research?

The keywords of their largest research topics: Deep Learning, Transfer Learning, Neural Networks, Domain Adaptation, Few-Shot Learning, Feature Matching, Local Descriptors and Convolutional Neural Networks.

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 Learning906 topics
  2. Transfer Learning372 topics
  3. Neural Networks332 topics
  4. Domain Adaptation281 topic
  5. Few-Shot Learning281 topic
  6. Feature Matching261 topic
  7. Local Descriptors261 topic
  8. Convolutional Neural Networks242 topics
  9. Anomaly Detection211 topic
  10. Unsupervised211 topic
  11. Image Recognition151 topic
  12. Object Detection151 topic
  13. Image Captioning121 topic
  14. Visual Question Answering121 topic
  15. COVID-1991 topic
  16. Medical Imaging91 topic
  17. Content-Based Image Retrieval81 topic
  18. Shape Matching81 topic
  19. Hyperspectral71 topic
  20. Image Analysis71 topic

Where does Bin-Bin Gao work?

Bin-Bin Gao's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Bin-Bin Gao have?

OpenAlex counts 71 works and 1,902 citations for Bin-Bin Gao, an h-index of 19, ranking #236,454 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 Bin-Bin 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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