Question 1

What does F.K. Lam research?

Accepted Answer

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.

Question 2

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

Accepted Answer

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.

Question 3

Where does F.K. Lam work?

Accepted Answer

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

Question 4

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

Accepted Answer

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.

Question 5

Is F.K. Lam's h-index high?

Accepted Answer

An h-index of 18 is at or above that of 85% of the 89,309 ranked researchers whose main subfield is Computer Vision and Pattern Recognition, which is in the top 17%.