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Researcher · Beijing Academy of Artificial Intelligence · China

Baoxiong Jia

Baoxiong Jia publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Multimodal Machine Learning Applications, Human Pose and Action Recognition and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0002-4968-3290 OpenAlex
World rank
#573,452
of 7,710,434 ranked researchers
Rank in China
#72,606
of 978,568
Works
67
Citations
1.6k
Citations per work
23.6
h-index
16
i10-index 22Top 21% in Computer Vision and Pattern Recognition
Baoxiong Jia

What does Baoxiong Jia research?

Baoxiong Jia's work is mostly in Computer Science (68%), Engineering (16%).

Physical Sciences: 56 works · 83.4% of their workComputer Science: 45 works · 67.9% of their workComputer Vision and Pattern Recognition: 25 works · 37.8% of their workArtificial Intelligence: 20 works · 30.1% of their workEngineering: 10 works · 15.5% of their workControl and Systems Engineering: 4 works · 5.7% of their workComputational Mechanics: 3 works · 4.1% of their workMechanical Engineering: 2 works · 3.1% of their workAerospace Engineering: 2 works · 2.6% of their workEverything else: 11 works · 16.6% of their workTHEIR WORKBaoxiong Jia67works
Physical Sciences83%

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 Science4567.9%
    2. Engineering1015.5%
  2. Everything else1116.6%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Artificial Intelligence30% of their works
  3. 3Control and Systems Engineering6% of their works
  4. 4Computational Mechanics4% of their works
  5. 5Mechanical Engineering3% of their works
  6. 6Aerospace Engineering3% of their works

Research topics

Which keywords describe Baoxiong Jia's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Action Recognition, Pose Estimation, 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 18 words, with their numbers
  1. Deep Learning786 topics
  2. Neural Networks342 topics
  3. Image Captioning271 topic
  4. Visual Question Answering271 topic
  5. Action Recognition181 topic
  6. Pose Estimation181 topic
  7. Domain Adaptation131 topic
  8. Transfer Learning131 topic
  9. Character Animation91 topic
  10. Feature Matching91 topic
  11. Local Descriptors91 topic
  12. Motion Synthesis91 topic
  13. 3D Reconstruction81 topic
  14. Point Clouds81 topic
  15. Anomaly Detection71 topic
  16. Unsupervised71 topic
  17. Neural Machine Translation51 topic
  18. Statistical Machine Translation51 topic

Where does Baoxiong Jia work?

Baoxiong Jia's main affiliation in the publication record is Beijing Academy of Artificial Intelligence, China.

How many publications and citations does Baoxiong Jia have?

OpenAlex counts 67 works and 1,581 citations for Baoxiong Jia, an h-index of 16, ranking #573,452 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.

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