Kun Zhan
Kun Zhan publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Advanced Graph Neural Networks, Domain Adaptation and Few-Shot Learning and Video Surveillance and Tracking Methods.
- World rank
- #110,531 of 1,633,909 ranked researchers
- Rank in China
- #3,683 of 187,979
- Works
- 39
- Citations
- 367
- Citations per work
- 9.4
What does Kun Zhan research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition26% of their works
- 2Artificial Intelligence21% of their works
- 3Electrical and Electronic Engineering10% of their works
- 4Media Technology8% of their works
- 5Statistical and Nonlinear Physics5% of their works
- 6Organic Chemistry5% of their works
Research topics
Which keywords describe Kun Zhan's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Semi-Supervised Learning, Autofocusing, Community Structure, Depth Estimation and Domain Adaptation.
- Self-Organizing Maps
- Feedforward Networks
- Clustering Algorithms
- Visual Tracking
- Object Tracking
- Knowledge Graph Embedding
- Domain Adaptation
- Community Structure
- Semi-Supervised Learning
- Neural Networks
- Deep Learning
- Representation Learning
- Autofocusing
- Depth Estimation
- Graph Neural Networks
- Network Dynamics
- Transfer Learning
- Backpropagation Learning
- Extreme Learning Machine
- K-means
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
- Deep Learning83 topics
- Neural Networks73 topics
- Representation Learning62 topics
- Semi-Supervised Learning62 topics
- Autofocusing31 topic
- Community Structure31 topic
- Depth Estimation31 topic
- Domain Adaptation31 topic
- Graph Neural Networks31 topic
- Knowledge Graph Embedding31 topic
- Network Dynamics31 topic
- Object Tracking31 topic
- Transfer Learning31 topic
- Visual Tracking31 topic
- Backpropagation Learning21 topic
- Clustering Algorithms21 topic
- Extreme Learning Machine21 topic
- Feedforward Networks21 topic
- K-means21 topic
- Self-Organizing Maps21 topic
Where does Kun Zhan work?
Kun Zhan's main affiliation in the publication record is Lanzhou University, China.
How many publications and citations does Kun Zhan have?
Science Explorer counts 39 works and 367 citations for Kun Zhan, ranking #110,531 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.