Kuo-Hsuan Hung

14 papers receiving 364 citations

Hit Papers

Noise Reduction in ECG Signals Using Fully Convolutional ...2019202620212023201950100150200

Peers

Kuo-Hsuan Hung
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 150
  • Signal Processing 118
  • Biomedical Engineering 103
  • Cognitive Neuroscience 103
  • Artificial Intelligence 87
Replace Mahesh S. Chavan with:
Mahesh S. Chavan India
Yi-Yen Hsieh Taiwan
Pratik Singh India
Damodar Panigrahy India
Taikang Ning United States
N. Kumaravel India
K. Stadlthanner Germany
Rahul Kher India
Ambalika Sharma India
Arman Kheirati Roonizi Iran
Kuo-Hsuan Hung relative to Mahesh S. Chavan India Mahesh S. Chavan's profile →
Citations per field
00.5×4.3×
Mahesh S. Chavan · 1×
Citations per year

Countries citing papers authored by Kuo-Hsuan Hung

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Hsuan Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Hsuan Hung. 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 Kuo-Hsuan Hung. The network helps show where Kuo-Hsuan Hung may publish in the future.

Co-authorship network of co-authors of Kuo-Hsuan Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo-Hsuan Hung. A scholar is included among the top collaborators of Kuo-Hsuan Hung 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 Kuo-Hsuan Hung. Kuo-Hsuan Hung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 3
5 1
6 28
7 5
8 3
9 18
10 2
11 26
12 5
13
Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing
2
14 34
15
Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencodersbreakdown →
245

About Kuo-Hsuan Hung

Kuo-Hsuan Hung is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 15 papers that have together received 375 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (118 citations), Cardiology and Cardiovascular Medicine (150 citations) and Cognitive Neuroscience (103 citations). Kuo-Hsuan Hung has collaborated with scholars based in Taiwan, Hong Kong and Japan. Frequent co-authors include Yu Tsao, Szu‐Wei Fu, Yi-Yen Hsieh, Shao‐Yi Chien, Cheng Yu, Syu‐Siang Wang, Jeih-weih Hung, Mirco Ravanelli, Kai-Chun Liu and Chia-Yeh Hsieh. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Journal of Solid-State Circuits.

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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2026