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Researcher · Chinese University of Hong Kong · China

Baopu Li

Baopu Li publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Gastroenterology, on topics such as Domain Adaptation and Few-Shot Learning, Gastrointestinal Bleeding Diagnosis and Treatment and Advanced Neural Network Applications.

ORCID 0000-0002-9032-3991 OpenAlex
World rank
#373,676
of 7,710,434 ranked researchers
Rank in China
#43,419
of 978,568
Works
205
Citations
5.2k
Citations per work
25.6
h-index
36
i10-index 87Top 3.1% in Computer Vision and Pattern Recognition
Baopu Li

What does Baopu Li research?

Baopu Li's work is mostly in Computer Science (62%), Engineering (11%), Medicine (7%).

Physical Sciences: 150 works · 73.2% of their workComputer Science: 128 works · 62.5% of their workComputer Vision and Pattern Recognition: 98 works · 47.6% of their workArtificial Intelligence: 31 works · 14.9% of their workEngineering: 22 works · 10.7% of their workMedia Technology: 8 works · 4.1% of their workElectrical and Electronic Engineering: 8 works · 4.0% of their workAerospace Engineering: 5 works · 2.6% of their workEverything else: 41 works · 19.8% of their workHealth Sciences: 14 works · 7.0% of their workMedicine: 14 works · 7.0% of their workGastroenterology: 14 works · 7.0% of their workTHEIR WORKBaopu Li205works
Physical Sciences73%Health Sciences7%

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 Science12862.5%
    2. Engineering2210.7%
  2. Everything else4119.8%
    1. Medicine147.0%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Gastroenterology7% of their works
  4. 4Media Technology4% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Aerospace Engineering3% of their works

Research topics

Which keywords describe Baopu Li's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Convolutional Neural Networks, Convolutional Networks, Neural Networks, Capsule Endoscopy, Domain Adaptation and Transfer Learning.

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 21 words, with their numbers
  1. Deep Learning1104 topics
  2. Unsupervised Learning642 topics
  3. Convolutional Neural Networks612 topics
  4. Convolutional Networks502 topics
  5. Neural Networks492 topics
  6. Capsule Endoscopy411 topic
  7. Domain Adaptation411 topic
  8. Transfer Learning411 topic
  9. Upper Gastrointestinal Bleeding411 topic
  10. Image Recognition391 topic
  11. Object Detection391 topic
  12. Image271 topic
  13. Super-Resolution271 topic
  14. Depth Estimation231 topic
  15. Stereo Vision231 topic
  16. Image Captioning221 topic
  17. Object Tracking221 topic
  18. Visual Question Answering221 topic
  19. Visual Tracking221 topic
  20. Content-Based Image Retrieval211 topic
  21. Shape Matching211 topic

Where does Baopu Li work?

Baopu Li's main affiliation in the publication record is Chinese University of Hong Kong, China.

How many publications and citations does Baopu Li have?

OpenAlex counts 205 works and 5,244 citations for Baopu Li, an h-index of 36, ranking #373,676 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.

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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