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Researcher · University of Pennsylvania · United States

Hangfan Liu

Hangfan Liu publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, on topics such as Image and Signal Denoising Methods, Advanced Image Processing Techniques and Sparse and Compressive Sensing Techniques.

ORCID 0000-0002-1207-7713 OpenAlex
World rank
#1,761,829
of 7,710,434 ranked researchers
Rank in United States
#542,689
of 1,627,098
Works
66
Citations
924
Citations per work
14.0
h-index
16
i10-index 29Top 21% in Computer Vision and Pattern Recognition
Hangfan Liu

What does Hangfan Liu research?

Hangfan Liu's work is mostly in Medicine (25%), Computer Science (22%), Biochemistry, Genetics and Molecular Biology (6%).

Everything else: 27 works · 41.5% of their workPhysical Sciences: 18 works · 27.7% of their workComputer Science: 15 works · 22.1% of their workComputer Vision and Pattern Recognition: 15 works · 22.1% of their workEngineering: 4 works · 5.6% of their workMedia Technology: 4 works · 5.6% of their workHealth Sciences: 16 works · 24.6% of their workMedicine: 16 works · 24.6% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 13.3% of their workNeurology: 4 works · 6.7% of their workPsychiatry and Mental health: 3 works · 4.6% of their workLife Sciences: 4 works · 6.2% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 6.2% of their workMolecular Biology: 4 works · 6.2% of their workTHEIR WORKHangfan Liu66works
Life Sciences6%Physical Sciences28%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. Everything else2741.5%
    1. Computer Science1522.1%
    2. Engineering45.6%
    1. Medicine1624.6%
    1. Biochemistry, Genetics and Molecular Biology46.2%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Radiology, Nuclear Medicine and Imaging13% of their works
  3. 3Neurology7% of their works
  4. 4Molecular Biology6% of their works
  5. 5Media Technology6% of their works
  6. 6Psychiatry and Mental health5% of their works

Research topics

Which keywords describe Hangfan Liu's research?

The keywords of their largest research topics: Deep Learning, Sparse Representation, Wavelet Transform, Image Denoising, Sparse Representations, Neuroimaging, Image and Super-Resolution.

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
  1. Deep Learning403 topics
  2. Sparse Representation313 topics
  3. Wavelet Transform262 topics
  4. Image Denoising181 topic
  5. Sparse Representations181 topic
  6. Neuroimaging172 topics
  7. Image141 topic
  8. Super-Resolution141 topic
  9. Alzheimer's Disease91 topic
  10. Compressed Sensing91 topic
  11. Mild Cognitive Impairment91 topic
  12. Signal Recovery91 topic
  13. Cerebral Amyloid Angiopathy81 topic
  14. Diffusion MRI81 topic
  15. Image Fusion81 topic
  16. Intracerebral Hemorrhage81 topic
  17. Magnetic Resonance Imaging81 topic
  18. Multispectral81 topic
  19. Perfusion Imaging81 topic
  20. White Matter81 topic

Where does Hangfan Liu work?

Hangfan Liu's main affiliation in the publication record is University of Pennsylvania, United States.

How many publications and citations does Hangfan Liu have?

OpenAlex counts 66 works and 924 citations for Hangfan Liu, an h-index of 16, ranking #1,761,829 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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