Ke-Kun Huang
Ke-Kun Huang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Face and Expression Recognition, Domain Adaptation and Few-Shot Learning and Video Surveillance and Tracking Methods.
- World rank
- #1,528,804 of 7,710,434 ranked researchers
- Rank in China
- #228,674 of 978,568
- Works
- 43
- Citations
- 848
- Citations per work
- 19.7
What does Ke-Kun Huang research?
Ke-Kun Huang's work is mostly in Computer Science (60%), Engineering (14%), Earth and Planetary Sciences (3%).
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
- Physical Sciences3377.4%
- Computer Science2660.5%
- Engineering613.7%
- Earth and Planetary Sciences13.2%
- Everything else1022.6%
- 1Computer Vision and Pattern Recognition44% of their works
- 2Artificial Intelligence16% of their works
- 3Media Technology9% of their works
- 4Atmospheric Science3% of their works
- 5Mechanical Engineering2% of their works
- 6Control and Systems Engineering2% of their works
Research topics
Which keywords describe Ke-Kun Huang's research?
The keywords of their largest research topics: Deep Learning, Face Recognition, Support Vector Machines, Convolutional Neural Networks, Local Binary Patterns, Dimensionality Reduction, Feature Selection and Domain Adaptation.
- Shape Matching
- Content-Based Image Retrieval
- Feature Matching
- Object Tracking
- Hyperspectral
- Age Estimation
- Domain Adaptation
- Dimensionality Reduction
- Convolutional Neural Networks
- Face Recognition
- Deep Learning
- Support Vector Machines
- Local Binary Patterns
- Feature Selection
- Transfer Learning
- Facial Landmark Detection
- Image Analysis
- Visual Tracking
- Local Descriptors
- JPEG2000
- Wavelet Compression
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 21 words, with their numbers
- Deep Learning345 topics
- Face Recognition202 topics
- Support Vector Machines202 topics
- Convolutional Neural Networks162 topics
- Local Binary Patterns162 topics
- Dimensionality Reduction121 topic
- Feature Selection121 topic
- Domain Adaptation101 topic
- Transfer Learning101 topic
- Age Estimation81 topic
- Facial Landmark Detection81 topic
- Hyperspectral81 topic
- Image Analysis81 topic
- Object Tracking81 topic
- Visual Tracking81 topic
- Feature Matching61 topic
- Local Descriptors61 topic
- Content-Based Image Retrieval41 topic
- JPEG200041 topic
- Shape Matching41 topic
- Wavelet Compression41 topic
Where does Ke-Kun Huang work?
Ke-Kun Huang's main affiliation in the publication record is Jiaying University, China.
How many publications and citations does Ke-Kun Huang have?
OpenAlex counts 43 works and 848 citations for Ke-Kun Huang, an h-index of 16, ranking #1,528,804 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
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