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Researcher · Shanghai Artificial Intelligence Laboratory · ??

Jiaqi Wang

Jiaqi Wang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Multimodal Machine Learning Applications, Advanced Neural Network Applications and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0001-6877-5353 OpenAlex
World rank
#911,972
of 7,710,434 ranked researchers
Rank in ??
#1,092
of 21,892
Works
69
Citations
1.6k
Citations per work
23.0
h-index
19
i10-index 27Top 15% in Computer Vision and Pattern Recognition
Jiaqi Wang

What does Jiaqi Wang research?

Jiaqi Wang's work is mostly in Computer Science (60%), Engineering (8%), Medicine (3%).

Physical Sciences: 47 works · 68.1% of their workComputer Science: 42 works · 60.3% of their workComputer Vision and Pattern Recognition: 32 works · 46.9% of their workArtificial Intelligence: 9 works · 13.4% of their workEngineering: 5 works · 7.8% of their workAerospace Engineering: 2 works · 2.8% of their workBiomedical Engineering: 2 works · 2.8% of their workMedia Technology: 2 works · 2.2% of their workEverything else: 20 works · 29.1% of their workHealth Sciences: 2 works · 2.8% of their workMedicine: 2 works · 2.8% of their workSurgery: 2 works · 2.8% of their workTHEIR WORKJiaqi Wang69works
Physical Sciences68%Health Sciences3%

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 Science4260.3%
    2. Engineering57.8%
  2. Everything else2029.1%
    1. Medicine22.8%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Aerospace Engineering3% of their works
  4. 4Biomedical Engineering3% of their works
  5. 5Surgery3% of their works
  6. 6Media Technology2% of their works

Research topics

Which keywords describe Jiaqi Wang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Unsupervised Learning, Representation Learning, Image Captioning, Visual Question Answering, Convolutional Neural Networks and Image Recognition.

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 Learning585 topics
  2. Neural Networks252 topics
  3. Unsupervised Learning233 topics
  4. Representation Learning182 topics
  5. Image Captioning171 topic
  6. Visual Question Answering171 topic
  7. Convolutional Neural Networks151 topic
  8. Image Recognition151 topic
  9. Feature Matching131 topic
  10. Local Descriptors131 topic
  11. Convolutional Networks102 topics
  12. Domain Adaptation101 topic
  13. Transfer Learning101 topic
  14. Content-Based Retrieval81 topic
  15. Generative Adversarial Networks81 topic
  16. Image Synthesis81 topic
  17. Video Summarization81 topic
  18. Action Recognition51 topic
  19. Depth Estimation51 topic
  20. Pose Estimation51 topic
  21. Stereo Vision51 topic

Where does Jiaqi Wang work?

Jiaqi Wang's main affiliation in the publication record is Shanghai Artificial Intelligence Laboratory, ??.

How many publications and citations does Jiaqi Wang have?

OpenAlex counts 69 works and 1,590 citations for Jiaqi Wang, an h-index of 19, ranking #911,972 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 Jiaqi Wang

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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