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Researcher · University of California, Los Angeles · United States

Alex Ling Yu Hung

Alex Ling Yu Hung publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Medical Image Segmentation Techniques, Image and Signal Denoising Methods and AI in cancer detection.

ORCID 0000-0002-2664-7430 OpenAlex
World rank
#2,444,688
of 7,710,434 ranked researchers
Rank in United States
#723,208
of 1,627,098
Works
28
Citations
323
Citations per work
11.5
h-index
7
i10-index 5Top 69% in Computer Vision and Pattern Recognition
Alex Ling Yu Hung

What does Alex Ling Yu Hung research?

Alex Ling Yu Hung's work is mostly in Computer Science (45%), Medicine (25%), Engineering (8%).

Physical Sciences: 15 works · 52.6% of their workComputer Science: 13 works · 44.7% of their workComputer Vision and Pattern Recognition: 10 works · 34.2% of their workArtificial Intelligence: 3 works · 10.5% of their workEngineering: 2 works · 7.9% of their workBiomedical Engineering: 2 works · 7.9% of their workHealth Sciences: 7 works · 25.0% of their workMedicine: 7 works · 25.0% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 18.4% of their workPulmonary and Respiratory Medicine: 2 works · 6.6% of their workEverything else: 6 works · 19.8% of their workLife Sciences: 1 works · 2.6% of their workNeuroscience: 1 works · 2.6% of their workCognitive Neuroscience: 1 works · 2.6% of their workTHEIR WORKAlex Ling Yu Hung28works
Life Sciences3%Physical Sciences53%Health Sciences25%

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
    1. Computer Science1344.7%
    2. Engineering27.9%
    1. Medicine725.0%
  3. Everything else619.8%
    1. Neuroscience12.6%
  1. 1Computer Vision and Pattern Recognition34% of their works
  2. 2Radiology, Nuclear Medicine and Imaging18% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Biomedical Engineering8% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe Alex Ling Yu Hung's research?

The keywords of their largest research topics: Deep Learning, Medical Image Analysis, Convolutional Neural Networks, Graph Cuts, Image Segmentation, Image Denoising, Sparse Representations and Computer-Aided Detection.

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 19 words, with their numbers
  1. Deep Learning326 topics
  2. Medical Image Analysis173 topics
  3. Convolutional Neural Networks163 topics
  4. Graph Cuts91 topic
  5. Image Segmentation91 topic
  6. Image Denoising61 topic
  7. Sparse Representations61 topic
  8. Computer-Aided Detection51 topic
  9. Diffusion MRI51 topic
  10. Histopathology Images51 topic
  11. Image Recognition51 topic
  12. Object Detection51 topic
  13. White Matter51 topic
  14. Image41 topic
  15. Prostate Cancer41 topic
  16. Screening41 topic
  17. Super-Resolution41 topic
  18. Spine Segmentation31 topic
  19. Vertebrae Detection31 topic

Where does Alex Ling Yu Hung work?

Alex Ling Yu Hung's main affiliation in the publication record is University of California, Los Angeles, United States.

How many publications and citations does Alex Ling Yu Hung have?

OpenAlex counts 28 works and 323 citations for Alex Ling Yu Hung, an h-index of 7, ranking #2,444,688 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.

Discussion

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