Wee Ser

3.5k citations
111 papers · 2.7k · h-index 29

Impact in

Papers in

    • Speech and Audio Processing 39
    • Direction-of-Arrival Estimation Techniques 24
    • Blind Source Separation Techniques 13
    • Music and Audio Processing 10
    • Advanced Adaptive Filtering Techniques 35

Wee Ser

106 papers receiving 2.6k citations

Peers

Wee Ser
Comparison fields: 5 of 118
  • Signal Processing 1.1k
  • Computational Mechanics 749
  • Aerospace Engineering 779
  • Computer Vision and Pattern Recognition 391
  • Biomedical Engineering 576
Replace Lu Gan with:
Lu Gan United Kingdom
Yiyu Zhou China
Lu Lu China
Takashi Ohira Japan
Kyung‐Tae Kim South Korea
Rodney G. Vaughan Canada
R. Lyons United States
Christos G. Christodoulou United States
Raed M. Shubair United Arab Emirates
Wee Ser relative to Lu Gan United Kingdom Lu Gan's profile →
Citations per field
00.5×3.1×
Lu Gan · 1×
Citations per year

Countries citing papers authored by Wee Ser

Since Specialization
Citations

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

Fields of papers citing papers by Wee Ser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wee Ser. 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 Wee Ser. The network helps show where Wee Ser may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010222
2 2017187
3 2018174
4 2001171
5 2011113
6 201098
7 200198
8 202093
9 201777
10 200377
11 201176
12 200256
13 201852
14 202050
15 201050
16 201050
17 201150
18 200745
19 201844
20 201243

About Wee Ser

Wee Ser is a scholar working on Signal Processing, Computational Mechanics, Biomedical Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 111 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (39 papers), Advanced Adaptive Filtering Techniques (35 papers), Direction-of-Arrival Estimation Techniques (24 papers), Antenna Design and Optimization (16 papers), Blind Source Separation Techniques (13 papers), Music and Audio Processing (10 papers), Phonocardiography and Auscultation Techniques (9 papers) and Non-Invasive Vital Sign Monitoring (8 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computational Mechanics (749 citations), Aerospace Engineering (779 citations), Computer Vision and Pattern Recognition (391 citations) and Biomedical Engineering (576 citations). Wee Ser has collaborated with scholars based in Singapore, China and Taiwan. Frequent co-authors include Zhu Liang Yu, Huawei Chen, Ming Zhang, Zhiping Lin, Siew Eng Nai, Badong Chen, Siyuan Peng, Ling Cen, A. Q. Liu and Wei Cen. Their work appears in journals such as Signal Processing, IEEE Transactions on Antennas and Propagation, IEEE Signal Processing Letters, IEEE Transactions on Signal Processing and Sensors and Actuators B Chemical.

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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