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Researcher · University of Hong Kong · China

F.K. Lam

F.K. Lam publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience, on topics such as Medical Image Segmentation Techniques, Image and Signal Denoising Methods and Blind Source Separation Techniques.

OpenAlex
World rank
#4,143,201
of 7,710,434 ranked researchers
Rank in China
#641,149
of 978,568
Works
100
Citations
1.6k
Citations per work
16.0
h-index
18
i10-index 33Top 17% in Computer Vision and Pattern Recognition
F.K. Lam

What does F.K. Lam research?

F.K. Lam's work is mostly in Computer Science (43%), Engineering (12%), Neuroscience (9%).

Physical Sciences: 54 works · 54.3% of their workComputer Science: 43 works · 42.6% of their workComputer Vision and Pattern Recognition: 26 works · 26.5% of their workSignal Processing: 11 works · 10.7% of their workArtificial Intelligence: 5 works · 5.4% of their workEngineering: 12 works · 11.7% of their workMechanics of Materials: 6 works · 6.0% of their workBiomedical Engineering: 6 works · 5.7% of their workEverything else: 36 works · 36.3% of their workLife Sciences: 9 works · 9.4% of their workNeuroscience: 9 works · 9.4% of their workCognitive Neuroscience: 9 works · 9.4% of their workTHEIR WORKF.K. Lam100works
Life Sciences9%Physical Sciences54%

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 Science4342.6%
    2. Engineering1211.7%
  2. Everything else3636.3%
    1. Neuroscience99.4%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Signal Processing11% of their works
  3. 3Cognitive Neuroscience9% of their works
  4. 4Mechanics of Materials6% of their works
  5. 5Biomedical Engineering6% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe F.K. Lam's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Blind Separation, Image Denoising, Independent Component Analysis, Sparse Representations and Adaptive Filtering.

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
  1. Deep Learning524 topics
  2. Image Segmentation171 topic
  3. Medical Image Analysis171 topic
  4. Blind Separation161 topic
  5. Image Denoising161 topic
  6. Independent Component Analysis161 topic
  7. Sparse Representations161 topic
  8. Adaptive Filtering121 topic
  9. Non-Gaussian Signal Processing121 topic
  10. Hough Transform111 topic
  11. Line Detection111 topic
  12. Neural Networks101 topic
  13. Self-Organizing Maps101 topic
  14. Cortical Networks91 topic
  15. Feature Matching91 topic
  16. Local Descriptors91 topic
  17. Neuronal Oscillations91 topic

Where does F.K. Lam work?

F.K. Lam's main affiliation in the publication record is University of Hong Kong, China.

How many publications and citations does F.K. Lam have?

OpenAlex counts 100 works and 1,599 citations for F.K. Lam, an h-index of 18, ranking #4,143,201 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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