Bihan Wen
Bihan Wen publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Image and Signal Denoising Methods, Advanced Image Processing Techniques and Sparse and Compressive Sensing Techniques.
- World rank
- #137,261 of 7,710,434 ranked researchers
- Rank in Singapore
- #869 of 23,642
- Works
- 277
- Citations
- 6.9k
- Citations per work
- 24.7
What does Bihan Wen research?
Bihan Wen's work is mostly in Computer Science (57%), Engineering (20%).
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 Sciences21377.0%
- Computer Science15856.9%
- Engineering5620.1%
- Everything else6423.0%
- 1Computer Vision and Pattern Recognition42% of their works
- 2Artificial Intelligence12% of their works
- 3Media Technology8% of their works
- 4Computational Mechanics8% of their works
- 5Biomedical Engineering4% of their works
- 6Signal Processing3% of their works
Research topics
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Sparse and Compressive Sensing Techniques
- Advanced Image Fusion Techniques
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
- Domain Adaptation and Few-Shot Learning
- Image Processing Techniques and Applications
Which keywords describe Bihan Wen's research?
The keywords of their largest research topics: Deep Learning, Sparse Representation, Wavelet Transform, Neural Networks, Generative Adversarial Networks, Image Denoising, Sparse Representations and Image.
- Transfer Learning
- Depth Estimation
- Image Synthesis
- Dehazing
- Multispectral
- Unsupervised Learning
- Image Processing
- Compressed Sensing
- Image
- Image Denoising
- Neural Networks
- Sparse Representation
- Deep Learning
- Wavelet Transform
- Generative Adversarial Networks
- Sparse Representations
- Super-Resolution
- Signal Recovery
- Representation Learning
- Image Fusion
- Contrast Enhancement
- Image Inpainting
- Autofocusing
- Domain Adaptation
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 24 words, with their numbers
- Deep Learning1984 topics
- Sparse Representation1593 topics
- Wavelet Transform1142 topics
- Neural Networks1103 topics
- Generative Adversarial Networks902 topics
- Image Denoising811 topic
- Sparse Representations811 topic
- Image671 topic
- Super-Resolution671 topic
- Compressed Sensing591 topic
- Signal Recovery591 topic
- Image Processing472 topics
- Representation Learning432 topics
- Unsupervised Learning432 topics
- Image Fusion331 topic
- Multispectral331 topic
- Contrast Enhancement271 topic
- Dehazing271 topic
- Image Inpainting231 topic
- Image Synthesis231 topic
- Autofocusing201 topic
- Depth Estimation201 topic
- Domain Adaptation201 topic
- Transfer Learning201 topic
Where does Bihan Wen work?
Bihan Wen's main affiliation in the publication record is Nanyang Technological University, Singapore.
How many publications and citations does Bihan Wen have?
OpenAlex counts 277 works and 6,853 citations for Bihan Wen, an h-index of 41, ranking #137,261 of 7,710,434 researchers worldwide on the quality 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 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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