Q. M. Jonathan Wu
Q. M. Jonathan Wu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Image Retrieval and Classification Techniques, Domain Adaptation and Few-Shot Learning and Advanced Steganography and Watermarking Techniques.
- World rank
- #138,385 of 1,633,909 ranked researchers
- Rank in Canada
- #4,738 of 38,960
- Works
- 170
- Citations
- 926
- Citations per work
- 5.4
What does Q. M. Jonathan Wu 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 Recognition38% of their works
- 2Artificial Intelligence13% of their works
- 3Electrical and Electronic Engineering4% of their works
- 4Media Technology4% of their works
- 5Information Systems3% of their works
- 6Signal Processing3% of their works
Research topics
- Image Retrieval and Classification Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Steganography and Watermarking Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Digital Media Forensic Detection
- Bayesian Methods and Mixture Models
- Machine Learning and ELM
Which keywords describe Q. M. Jonathan Wu's research?
The keywords of their largest research topics: Deep Learning, Content-Based Image Retrieval, Shape Matching, Domain Adaptation, Reversible Data Embedding, Steganography, Transfer Learning and Feature Matching.
- Extreme Learning Machine
- Clustering
- Image Forgery Detection
- Convolutional Neural Networks
- Feature Matching
- Steganography
- Domain Adaptation
- Content-Based Image Retrieval
- Deep Learning
- Shape Matching
- Reversible Data Embedding
- Transfer Learning
- Local Descriptors
- Digital Forensics
- Image Recognition
- Mixture Models
- Feedforward Networks
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 17 words, with their numbers
- Deep Learning274 topics
- Content-Based Image Retrieval91 topic
- Shape Matching91 topic
- Domain Adaptation81 topic
- Reversible Data Embedding81 topic
- Steganography81 topic
- Transfer Learning81 topic
- Feature Matching71 topic
- Local Descriptors71 topic
- Convolutional Neural Networks61 topic
- Digital Forensics61 topic
- Image Forgery Detection61 topic
- Image Recognition61 topic
- Clustering51 topic
- Mixture Models51 topic
- Extreme Learning Machine41 topic
- Feedforward Networks41 topic
Where does Q. M. Jonathan Wu work?
Q. M. Jonathan Wu's main affiliation in the publication record is University of Windsor, Canada.
How many publications and citations does Q. M. Jonathan Wu have?
Science Explorer counts 170 works and 926 citations for Q. M. Jonathan Wu, ranking #138,385 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.