F.H.Y. Chan

1.5k citations
89 papers · 974 · h-index 17

Impact in

Papers in

F.H.Y. Chan

78 papers receiving 901 citations

Peers

F.H.Y. Chan
Comparison fields: 5 of 119
  • Signal Processing 322
  • Cognitive Neuroscience 267
  • Computer Vision and Pattern Recognition 264
  • Media Technology 85
  • Analytical Chemistry 65
Replace F.K. Lam with:
F.K. Lam Hong Kong
Lalit Gupta United States
Kuang Chua Chua Singapore
Jianting Cao Japan
Seyed Kamaledin Setarehdan Iran
Clay D. Spence United States
Aifeng Ren China
Sugata Munshi India
Kyoobin Lee South Korea
Noboru Ohnishi Japan
F.H.Y. Chan relative to F.K. Lam Hong Kong F.K. Lam's profile →
Citations per field
00.5×7.2×
F.K. Lam · 1×
Citations per year

Countries citing papers authored by F.H.Y. Chan

Since Specialization
Citations

This map shows the geographic impact of F.H.Y. Chan'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.H.Y. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.H.Y. Chan more than expected).

Fields of papers citing papers by F.H.Y. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.H.Y. Chan. 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.H.Y. Chan. The network helps show where F.H.Y. Chan may publish in the future.

Co-authors

The 25 scholars most cited alongside F.H.Y. Chan, 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.H.Y. Chan Line = papers co-authored together F.H.Y. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999114
2 200666
3
Exploration on Load Signatures
200464
4 200059
5 199739
6 200238
7 200435
8 199533
9 199729
10 199725
11 200322
12 200619
13 199619
14 200318
15 200217
16 199616
17 200116
18 200016
19 197615
20 199215

About F.H.Y. Chan

F.H.Y. Chan is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, having authored 89 papers that have together received 974 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (27 papers), Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (15 papers), Image and Signal Denoising Methods (12 papers), Medical Image Segmentation Techniques (11 papers), Advanced Adaptive Filtering Techniques (9 papers), Neural Networks and Applications (8 papers) and Phonocardiography and Auscultation Techniques (8 papers). The work is most often cited by research in Signal Processing (322 citations), Cognitive Neuroscience (267 citations), Computer Vision and Pattern Recognition (264 citations), Media Technology (85 citations) and Analytical Chemistry (65 citations). F.H.Y. Chan has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include F.K. Lam, P.W.F. Poon, Chunqi Chang, Hui Zhu, P. C. W. Fung, K.H. Ting, Sze Fong Yau, Zhi Ding, Mark Lucente and G.S.K. Fung. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Bio-Medical Materials and Engineering, Journal of Magnetic Resonance, Anesthesia & Analgesia and Computers in Biology and Medicine.

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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