Science Explorer Back to mapMap
Discussion
Researcher · Shanghai Artificial Intelligence Laboratory · ??

Peizhou Cao

Peizhou Cao publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Multimodal Machine Learning Applications, Robotics and Sensor-Based Localization and Human Pose and Action Recognition.

ORCID 0009-0002-0167-9644 OpenAlex
World rank
#5,225,141
of 7,710,434 ranked researchers
Rank in ??
#11,408
of 21,892
Works
15
Citations
4
Citations per work
0.3
h-index
1
i10-index 0Top 99.8% in Computer Vision and Pattern Recognition
Peizhou Cao

What does Peizhou Cao research?

Peizhou Cao's work is mostly in Computer Science (60%), Engineering (18%), Psychology (5%).

Physical Sciences: 12 works · 77.5% of their workComputer Science: 9 works · 60.0% of their workComputer Vision and Pattern Recognition: 5 works · 35.0% of their workArtificial Intelligence: 3 works · 20.0% of their workComputer Networks and Communications: 1 works · 5.0% of their workEngineering: 3 works · 17.5% of their workAerospace Engineering: 2 works · 12.5% of their workControl and Systems Engineering: 1 works · 5.0% of their workEverything else: 3 works · 17.5% of their workSocial Sciences: 1 works · 5.0% of their workPsychology: 1 works · 5.0% of their workSocial Psychology: 1 works · 5.0% of their workTHEIR WORKPeizhou Cao15works
Physical Sciences78%Social Sciences5%

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 Science960.0%
    2. Engineering317.5%
  2. Everything else317.5%
    1. Psychology15.0%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Aerospace Engineering12% of their works
  4. 4Control and Systems Engineering5% of their works
  5. 5Social Psychology5% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Peizhou Cao's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Robotics, 3D Mapping, SLAM and Action 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 19 words, with their numbers
  1. Deep Learning174 topics
  2. Neural Networks133 topics
  3. Image Captioning91 topic
  4. Visual Question Answering91 topic
  5. Robotics72 topics
  6. 3D Mapping51 topic
  7. SLAM51 topic
  8. Action Recognition41 topic
  9. Pose Estimation41 topic
  10. Autonomous Control21 topic
  11. Domain Adaptation21 topic
  12. Grasping21 topic
  13. Interpretable Models21 topic
  14. Machine Learning Interpretability21 topic
  15. Machine Translation21 topic
  16. Reinforcement Learning21 topic
  17. Robot Learning21 topic
  18. Transfer Learning21 topic
  19. Word Representation21 topic

Where does Peizhou Cao work?

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

How many publications and citations does Peizhou Cao have?

OpenAlex counts 15 works and 4 citations for Peizhou Cao, an h-index of 1, ranking #5,225,141 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

Ask a question or share a note about Peizhou Cao. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.