F.K. Lam

1.6k citations
76 papers · 1.3k · h-index 17

Impact in

Papers in

F.K. Lam

65 papers receiving 1.2k citations

Peers

F.K. Lam
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 372
  • Signal Processing 81
  • Biomedical Engineering 328
  • Cognitive Neuroscience 132
  • Sensory Systems 32
Replace F.H.Y. Chan with:
F.H.Y. Chan Hong Kong
Rasmus R. Paulsen Denmark
Alireza Ahmadian Iran
M. Edward Jernigan Canada
Emad Fatemizadeh Iran
Yakang Dai China
Svitlana Zinger Netherlands
Türker Tuncer Türkiye
Ahmed Ben Hamida Tunisia
Rafeef Abugharbieh A Canada
F.K. Lam relative to F.H.Y. Chan Hong Kong F.H.Y. Chan's profile →
Citations per field
00.5×1.5×
F.H.Y. Chan · 1×
Citations per year

Countries citing papers authored by F.K. Lam

Since Specialization
Citations

This map shows the geographic impact of F.K. Lam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by F.K. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.K. Lam more than expected).

Fields of papers citing papers by F.K. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.K. Lam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by F.K. Lam. The network helps show where F.K. Lam may publish in the future.

Co-authors

The 25 scholars most cited alongside F.K. Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F.K. Lam Line = papers co-authored together F.K. Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000324
2 1998143
3 1999118
4 199651
5 199738
6 200238
7 199535
8 199432
9 199732
10 199227
11 199726
12 198223
13 199623
14 199823
15 200620
16 199617
17 199917
18 200217
19 199215
20 200215

About F.K. Lam

F.K. Lam is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Sensory Systems and Computational Mechanics, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Medical Image Segmentation Techniques (13 papers), Phonocardiography and Auscultation Techniques (8 papers), Advanced Adaptive Filtering Techniques (8 papers), Digital Filter Design and Implementation (7 papers), Ultrasonics and Acoustic Wave Propagation (7 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (372 citations), Signal Processing (81 citations), Biomedical Engineering (328 citations), Cognitive Neuroscience (132 citations) and Sensory Systems (32 citations). F.K. Lam has collaborated with scholars based in Hong Kong, Taiwan and China. Frequent co-authors include F.H.Y. Chan, Philip A. Parker, Yuan‐Ting Zhang, Yongsheng Yang, Paul W.F. Poon, Hui Zhu, P.W.M. Tsang, Pong Chi Yuen, Ping-Wing Lui and Roger P. Hamernik. Their work appears in journals such as Bio-Medical Materials and Engineering, IEEE Transactions on Biomedical Engineering, Pattern Recognition, Ultrasonics and Pattern Recognition Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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