Szu‐Wei Fu

3.2k citations
42 papers · 1.2k · 1 hit paper · h-index 16

Impact in

Papers in

Szu‐Wei Fu

41 papers receiving 1.2k citations

Szu‐Wei Fu's Hit Papers

Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders 2019 · 245 citations
2450+2+4Years since publication50100150200

Peers

Szu‐Wei Fu
Comparison fields: 5 of 97
  • Signal Processing 849
  • Artificial Intelligence 526
  • Cognitive Neuroscience 295
  • Computational Mechanics 284
  • Cardiology and Cardiovascular Medicine 153
Replace Syu‐Siang Wang with:
Syu‐Siang Wang Taiwan
Hong-Goo Kang South Korea
Gayadhar Pradhan India
Chengshi Zheng China
Mohammed Bahoura Canada
Khaled Daqrouq Saudi Arabia
S. Shahnawazuddin India
Salvatore Serrano Italy
Zhong-Qiu Wang United States
Reinhold Orglmeister Germany
Szu‐Wei Fu relative to Syu‐Siang Wang Taiwan Syu‐Siang Wang's profile →
Citations per field
00.5×3.2×
Syu‐Siang Wang · 1×
Citations per year

Countries citing papers authored by Szu‐Wei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Szu‐Wei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szu‐Wei Fu. 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 Szu‐Wei Fu. The network helps show where Szu‐Wei Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders
Hit paper breakdown →
2019245
2 2018217
3 2016123
4 2021118
5 201967
6 202249
7 201943
8 202140
9 202038
10 201631
11 202228
12 202228
13 202424
14 201421
15 202017
16 201316
17 202014
18 202213
19 202013
20 201910

About Szu‐Wei Fu

Szu‐Wei Fu is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (32 papers), Speech Recognition and Synthesis (20 papers), Music and Audio Processing (13 papers), Hearing Loss and Rehabilitation (10 papers), Advanced Adaptive Filtering Techniques (5 papers), Acoustic Wave Phenomena Research (4 papers), Image and Signal Denoising Methods (3 papers) and Voice and Speech Disorders (2 papers). The work is most often cited by research in Signal Processing (849 citations), Artificial Intelligence (526 citations), Cognitive Neuroscience (295 citations), Computational Mechanics (284 citations) and Cardiology and Cardiovascular Medicine (153 citations). Szu‐Wei Fu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yu Tsao, Xugang Lu, Kuo-Hsuan Hung, Hisashi Kawai, Shao‐Yi Chien, Yi-Yen Hsieh, Cheng Yu, Chien-Feng Liao, Mirco Ravanelli and Hsin‐Min Wang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Access, IEEE Transactions on Cognitive and Developmental Systems, Biotechnology Journal and IEEE Transactions on Biomedical Engineering.

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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