Science Explorer Interactive view Map

Can Wang

Can Wang publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Advanced Graph Neural Networks and Topic Modeling.

World rank
#701,434
of 1,633,909 ranked researchers
Rank in Australia
#18,962
of 35,497
Works
95
Citations
213
Citations per work
2.2

What does Can Wang research?

Artificial Intelligence: 25.2%Information Systems: 12.6%Computer Vision and Pattern Recognition: 10.2%Statistical and Nonlinear Physics: 3.9%other fields: 48.1%25%top field
Artificial Intelligence25.2%Information Systems12.6%Computer Vision and Pattern Recognition10.2%Statistical and Nonlinear Physics3.9%other fields48.1%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence25% of their works
  2. 2Information Systems13% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Statistical and Nonlinear Physics4% of their works
  5. 5Management Science and Operations Research4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Can Wang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Semi-Supervised Learning, Collaborative Filtering, Matrix Factorization, Graph Neural Networks and Knowledge Graph Embedding.

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.

All 20 words, with their numbers
  1. Deep Learning153 topics
  2. Neural Networks112 topics
  3. Representation Learning102 topics
  4. Semi-Supervised Learning102 topics
  5. Collaborative Filtering71 topic
  6. Matrix Factorization71 topic
  7. Graph Neural Networks61 topic
  8. Knowledge Graph Embedding61 topic
  9. Domain Adaptation41 topic
  10. Machine Translation41 topic
  11. Transfer Learning41 topic
  12. Word Representation41 topic
  13. Bandit Optimization31 topic
  14. Bayesian Optimization31 topic
  15. Community Structure31 topic
  16. Network Dynamics31 topic
  17. Artificial Intelligence21 topic
  18. Classification21 topic
  19. Imbalanced Data21 topic
  20. Teaching Evaluation21 topic

Where does Can Wang work?

Can Wang's main affiliation in the publication record is Griffith University, Australia.

How many publications and citations does Can Wang have?

Science Explorer counts 95 works and 213 citations for Can Wang, ranking #701,434 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised 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 Can Wang

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