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Researcher · Nanjing University · China

Zhi‐Hua Zhou

Zhi‐Hua Zhou publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Machine Learning and Data Classification, Machine Learning and Algorithms and Face and Expression Recognition.

ORCID 0000-0003-0746-1494 OpenAlex
World rank
#7,665
of 7,710,434 ranked researchers
Rank in China
#397
of 978,568
Works
678
Citations
64k
Citations per work
94.3
h-index
102
i10-index 400Top 0.1% in Artificial Intelligence
Zhi‐Hua Zhou

What does Zhi‐Hua Zhou research?

Zhi‐Hua Zhou's work is mostly in Computer Science (79%), Decision Sciences (3%).

Physical Sciences: 536 works · 79.0% of their workComputer Science: 536 works · 79.0% of their workArtificial Intelligence: 332 works · 49.0% of their workComputer Vision and Pattern Recognition: 136 works · 20.0% of their workInformation Systems: 29 works · 4.3% of their workComputational Theory and Mathematics: 20 works · 3.0% of their workSignal Processing: 18 works · 2.7% of their workEverything else: 123 works · 18.1% of their workSocial Sciences: 20 works · 2.9% of their workDecision Sciences: 20 works · 2.9% of their workManagement Science and Operations Research: 20 works · 2.9% of their workTHEIR WORKZhi‐Hua Zhou678works
Physical Sciences79%Social 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 Science53679.0%
  2. Everything else12318.1%
    1. Decision Sciences202.9%
  1. 1Artificial Intelligence49% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Information Systems4% of their works
  4. 4Computational Theory and Mathematics3% of their works
  5. 5Management Science and Operations Research3% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Zhi‐Hua Zhou's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Meta-Learning, Feature Selection, Local Binary Patterns, Semi-Supervised Learning, Hyperparameter Optimization and Noisy Labels.

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 22 words, with their numbers
  1. Deep Learning2483 topics
  2. Machine Learning2132 topics
  3. Meta-Learning2122 topics
  4. Feature Selection2042 topics
  5. Local Binary Patterns2032 topics
  6. Semi-Supervised Learning1772 topics
  7. Hyperparameter Optimization1551 topic
  8. Noisy Labels1551 topic
  9. Active Learning1201 topic
  10. Gaussian Processes1201 topic
  11. Dimensionality Reduction1101 topic
  12. Face Recognition1101 topic
  13. Multi-label Learning941 topic
  14. Text Classification941 topic
  15. Content-Based Image Retrieval931 topic
  16. Shape Matching931 topic
  17. Feature Matching671 topic
  18. Local Descriptors671 topic
  19. Neural Networks611 topic
  20. Self-Organizing Maps611 topic
  21. Domain Adaptation571 topic
  22. Transfer Learning571 topic

Where does Zhi‐Hua Zhou work?

Zhi‐Hua Zhou's main affiliation in the publication record is Nanjing University, China.

How many publications and citations does Zhi‐Hua Zhou have?

OpenAlex counts 678 works and 63,944 citations for Zhi‐Hua Zhou, an h-index of 102, ranking #7,665 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 Zhi‐Hua Zhou

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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