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Researcher · Hong Kong University of Science and Technology · China

Qiang Yang

Qiang Yang publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Privacy-Preserving Technologies in Data, Recommender Systems and Techniques and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0001-5059-8360 OpenAlex
World rank
#14,340
of 7,710,434 ranked researchers
Rank in China
#806
of 978,568
Works
1,339
Citations
106k
Citations per work
79.5
h-index
129
i10-index 639Top 0.1% in Artificial Intelligence
Qiang Yang

What does Qiang Yang research?

Qiang Yang's work is mostly in Computer Science (55%), Biochemistry, Genetics and Molecular Biology (4%), Engineering (3%).

Physical Sciences: 779 works · 58.2% of their workComputer Science: 734 works · 54.8% of their workArtificial Intelligence: 431 works · 32.2% of their workInformation Systems: 134 works · 10.0% of their workComputer Vision and Pattern Recognition: 99 works · 7.4% of their workComputer Networks and Communications: 70 works · 5.2% of their workEngineering: 46 works · 3.4% of their workElectrical and Electronic Engineering: 46 works · 3.4% of their workEverything else: 511 works · 38.2% of their workLife Sciences: 48 works · 3.6% of their workBiochemistry, Genetics and Molecular Biology: 48 works · 3.6% of their workMolecular Biology: 48 works · 3.6% of their workTHEIR WORKQiang Yang1,339works
Life Sciences4%Physical Sciences58%

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 Science73454.8%
    2. Engineering463.4%
  2. Everything else51138.2%
    1. Biochemistry, Genetics and Molecular Biology483.6%
  1. 1Artificial Intelligence32% of their works
  2. 2Information Systems10% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Computer Networks and Communications5% of their works
  5. 5Molecular Biology4% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Qiang Yang's research?

The keywords of their largest research topics: Data Mining, Machine Learning, Neural Networks, Differential Privacy, Federated Learning, Information Retrieval, Text Classification and Collaborative Filtering.

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 21 words, with their numbers
  1. Data Mining2582 topics
  2. Machine Learning2582 topics
  3. Neural Networks2032 topics
  4. Differential Privacy1851 topic
  5. Federated Learning1851 topic
  6. Information Retrieval1612 topics
  7. Text Classification1612 topics
  8. Collaborative Filtering1191 topic
  9. Matrix Factorization1191 topic
  10. Domain Adaptation1021 topic
  11. Transfer Learning1021 topic
  12. Heuristic Search981 topic
  13. Planning Systems981 topic
  14. Machine Translation841 topic
  15. Word Representation841 topic
  16. Feature Selection771 topic
  17. Multi-label Learning771 topic
  18. Association Rules731 topic
  19. Frequent Patterns731 topic
  20. Homomorphic Encryption631 topic
  21. Identity-Based Encryption631 topic

Where does Qiang Yang work?

Qiang Yang's main affiliation in the publication record is Hong Kong University of Science and Technology, China.

How many publications and citations does Qiang Yang have?

OpenAlex counts 1,339 works and 106,447 citations for Qiang Yang, an h-index of 129, ranking #14,340 of 7,710,434 researchers worldwide on the quality 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 Qiang Yang

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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