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Researcher · Tianjin University · China

Qinghua Hu

Qinghua Hu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Rough Sets and Fuzzy Logic, Domain Adaptation and Few-Shot Learning and Face and Expression Recognition.

ORCID 0000-0001-7765-8095 OpenAlex
World rank
#26,137
of 7,710,434 ranked researchers
Rank in China
#1,640
of 978,568
Works
663
Citations
39k
Citations per work
58.3
h-index
86
i10-index 344Top 0.1% in Artificial Intelligence
Qinghua Hu

What does Qinghua Hu research?

Qinghua Hu's work is mostly in Computer Science (62%), Engineering (5%).

Physical Sciences: 444 works · 67.0% of their workComputer Science: 411 works · 62.0% of their workArtificial Intelligence: 168 works · 25.3% of their workComputer Vision and Pattern Recognition: 161 works · 24.3% of their workComputational Theory and Mathematics: 48 works · 7.3% of their workInformation Systems: 34 works · 5.1% of their workEngineering: 33 works · 5.0% of their workControl and Systems Engineering: 17 works · 2.6% of their workMedia Technology: 16 works · 2.4% of their workEverything else: 219 works · 33.0% of their workTHEIR WORKQinghua Hu663works
Physical Sciences67%

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 Science41162.0%
    2. Engineering335.0%
  2. Everything else21933.0%
  1. 1Artificial Intelligence25% of their works
  2. 2Computer Vision and Pattern Recognition24% of their works
  3. 3Computational Theory and Mathematics7% of their works
  4. 4Information Systems5% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Media Technology2% of their works

Research topics

Which keywords describe Qinghua Hu's research?

The keywords of their largest research topics: Feature Selection, Deep Learning, Convolutional Neural Networks, Granular Computing, Rough Sets, Domain Adaptation, Transfer Learning and Dimensionality Reduction.

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. Feature Selection2463 topics
  2. Deep Learning1753 topics
  3. Convolutional Neural Networks1292 topics
  4. Granular Computing1251 topic
  5. Rough Sets1251 topic
  6. Domain Adaptation871 topic
  7. Transfer Learning871 topic
  8. Dimensionality Reduction751 topic
  9. Face Recognition751 topic
  10. Object Tracking671 topic
  11. Visual Tracking671 topic
  12. Data Mining651 topic
  13. Frequent Patterns651 topic
  14. Image Recognition621 topic
  15. Object Detection621 topic
  16. Anomaly Detection461 topic
  17. Multi-label Learning461 topic
  18. Text Classification461 topic
  19. Unsupervised461 topic

Where does Qinghua Hu work?

Qinghua Hu's main affiliation in the publication record is Tianjin University, China.

How many publications and citations does Qinghua Hu have?

OpenAlex counts 663 works and 38,655 citations for Qinghua Hu, an h-index of 86, ranking #26,137 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 Qinghua Hu

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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