F.H.Y. Chan

1.6k citations
91 papers · 1.2k · h-index 17

Impact in

Papers in

F.H.Y. Chan

81 papers receiving 1.1k citations

Peers

F.H.Y. Chan
Comparison fields: 5 of 131
  • Signal Processing 356
  • Computer Vision and Pattern Recognition 384
  • Cognitive Neuroscience 292
  • Media Technology 122
  • Analytical Chemistry 81
Replace F.K. Lam with:
F.K. Lam Hong Kong
Brian McGinley Ireland
Lalit Gupta United States
Qiu‐Hua Lin China
Seyed Kamaledin Setarehdan Iran
Kuang Chua Chua Singapore
Jianting Cao Japan
Ahmed Ben Hamida Tunisia
Sugata Munshi India
Jayanta Mukherjee India
F.H.Y. Chan relative to F.K. Lam Hong Kong F.K. Lam's profile →
Citations per field
00.5×2×4×5.8×
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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998144
2 1999118
3 200672
4
Exploration on Load Signatures
200466
5 200065
6 200440
7 199739
8 200238
9 199535
10 199732
11 199726
12 200324
13 199623
14 200620
15 200219
16 200318
17 199617
18 197617
19 200016
20 200116

About F.H.Y. Chan

F.H.Y. Chan is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computational Mechanics and Analytical Chemistry, having authored 91 papers that have together received 1.2k 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 (12 papers), Advanced Adaptive Filtering Techniques (9 papers), Phonocardiography and Auscultation Techniques (8 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Signal Processing (356 citations), Computer Vision and Pattern Recognition (384 citations), Cognitive Neuroscience (292 citations), Media Technology (122 citations) and Analytical Chemistry (81 citations). F.H.Y. Chan has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include F.K. Lam, Paul W.F. Poon, Chunqi Chang, Hui Zhu, P. C. W. Fung, George Shiu-Kai Fung, K.H. Ting, Sze Fong Yau, Zhi Jun Ding and Weihong Qiu. Their work appears in journals such as Bio-Medical Materials and Engineering, IEEE Transactions on Biomedical Engineering, Journal of Magnetic Resonance, Computers in Biology and Medicine and Anesthesia & Analgesia.

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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