Moi Hoon Yap
Moi Hoon Yap publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Face recognition and analysis and Generative Adversarial Networks and Image Synthesis.
- World rank
- #182,899 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #17,001 of 90,785
- Works
- 47
- Citations
- 273
- Citations per work
- 5.8
What does Moi Hoon Yap 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 Recognition40% of their works
- 2Artificial Intelligence13% of their works
- 3Radiology, Nuclear Medicine and Imaging7% of their works
- 4Oncology5% of their works
- 5Biomedical Engineering5% of their works
- 6Molecular Biology4% of their works
Research topics
- AI in cancer detection
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Cutaneous Melanoma Detection and Management
- Radiomics and Machine Learning in Medical Imaging
- Gene expression and cancer classification
- Explainable Artificial Intelligence (XAI)
- Domain Adaptation and Few-Shot Learning
Which keywords describe Moi Hoon Yap's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Representation Learning, Unsupervised Learning, Face Recognition, Facial Landmark Detection and Histopathology Images.
- Machine Learning Interpretability
- Domain Adaptation
- Gene Expression
- Melanoma
- Dermoscopy
- Generative Adversarial Networks
- Histopathology Images
- Face Recognition
- Representation Learning
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Unsupervised Learning
- Facial Landmark Detection
- Medical Image Analysis
- Image Synthesis
- Medical Imaging
- Radiomics
- Microarray
- Interpretable Models
- Transfer Learning
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 21 words, with their numbers
- Deep Learning214 topics
- Machine Learning133 topics
- Convolutional Neural Networks122 topics
- Representation Learning72 topics
- Unsupervised Learning72 topics
- Face Recognition61 topic
- Facial Landmark Detection61 topic
- Histopathology Images61 topic
- Medical Image Analysis61 topic
- Generative Adversarial Networks51 topic
- Image Synthesis51 topic
- Dermoscopy41 topic
- Medical Imaging41 topic
- Melanoma41 topic
- Radiomics41 topic
- Gene Expression31 topic
- Microarray31 topic
- Domain Adaptation21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Transfer Learning21 topic
Where does Moi Hoon Yap work?
Moi Hoon Yap's main affiliation in the publication record is Manchester Metropolitan University, United Kingdom.
How many publications and citations does Moi Hoon Yap have?
Science Explorer counts 47 works and 273 citations for Moi Hoon Yap, ranking #182,899 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.