Ka-Fai Un

481 total citations
37 papers, 303 citations indexed

About

Ka-Fai Un is a scholar working on Electrical and Electronic Engineering, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ka-Fai Un has authored 37 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Ka-Fai Un's work include Radio Frequency Integrated Circuit Design (11 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (8 papers). Ka-Fai Un is often cited by papers focused on Radio Frequency Integrated Circuit Design (11 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (8 papers). Ka-Fai Un collaborates with scholars based in Macao, China and Portugal. Ka-Fai Un's co-authors include Rui P. Martins, Pui‐In Mak, Wei-Han Yu, Lei Xuan, Chi‐Seng Lam, Roberto Gómez‐García, Zhi Yang, Ying Chen, Changzhi Li and José‐María Muñoz‐Ferreras and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Ka-Fai Un

33 papers receiving 295 citations

Peers

Ka-Fai Un
Comparison fields: 5 of 53
  • Electrical and Electronic Engineering 176
  • Biomedical Engineering 73
  • Computer Vision and Pattern Recognition 54
  • Artificial Intelligence 52
  • Signal Processing 31
Replace Xiaoyang Zeng with:
Xiaoyang Zeng China
R.C.S. Morling United Kingdom
Trang Hoang Vietnam
Wei-Han Yu Macao
Jaehyuk Jang South Korea
Laurent Fesquet France
Craig Schlottmann United States
Hossein Miar Naimi Iran
Jose A. Belloch Spain
Cheong-Fat Chan Hong Kong
Xiaoyang Zeng China View profile →
Citations per field, relative to Ka-Fai Un
Ka-Fai Un · 1×
Citations per year, relative to Ka-Fai Un
Ka-Fai Un · 1×

Countries citing papers authored by Ka-Fai Un

Since Specialization
Citations

This map shows the geographic impact of Ka-Fai Un'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 Ka-Fai Un with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka-Fai Un more than expected).

Fields of papers citing papers by Ka-Fai Un

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka-Fai Un. 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 Ka-Fai Un. The network helps show where Ka-Fai Un may publish in the future.

Co-authorship network of co-authors of Ka-Fai Un

This figure shows the co-authorship network connecting the top 25 collaborators of Ka-Fai Un. A scholar is included among the top collaborators of Ka-Fai Un based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ka-Fai Un. Ka-Fai Un is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 1
5 4
6 4
7 0
8 5
9 3
10 1
11 5
12 9
13 27
14 22
15 7
16 50
17 6
18 10
19 4
20 2

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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