Syu‐Siang Wang

1.3k total citations
49 papers, 758 citations indexed

About

Syu‐Siang Wang is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Syu‐Siang Wang has authored 49 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Signal Processing, 24 papers in Artificial Intelligence and 17 papers in Computational Mechanics. Recurrent topics in Syu‐Siang Wang's work include Speech and Audio Processing (40 papers), Speech Recognition and Synthesis (22 papers) and Music and Audio Processing (20 papers). Syu‐Siang Wang is often cited by papers focused on Speech and Audio Processing (40 papers), Speech Recognition and Synthesis (22 papers) and Music and Audio Processing (20 papers). Syu‐Siang Wang collaborates with scholars based in Taiwan, United States and Japan. Syu‐Siang Wang's co-authors include Yu Tsao, Ying-Hui Lai, Hsin‐Min Wang, Xugang Lu, Hsiu-Wen Chang, Jen-Cheng Hou, Jeih-weih Hung, Fei Chen, Yu‐Hsuan Chen and Chin‐Hui Lee and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Syu‐Siang Wang

42 papers receiving 725 citations

Peers

Syu‐Siang Wang
Gayadhar Pradhan India
Salvatore Serrano Italy
Jiqing Han China
Prem C. Pandey India
S. Shahnawazuddin India
Muqing Deng China
Hong-Goo Kang South Korea
Hong Tang China
P. Vera‐Candeas Spain
Stefan Goetze Germany
Gayadhar Pradhan India
Syu‐Siang Wang
Citations per year, relative to Syu‐Siang Wang Syu‐Siang Wang (= 1×) peers Gayadhar Pradhan

Countries citing papers authored by Syu‐Siang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Syu‐Siang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syu‐Siang Wang. 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 Syu‐Siang Wang. The network helps show where Syu‐Siang Wang may publish in the future.

Co-authorship network of co-authors of Syu‐Siang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Syu‐Siang Wang. A scholar is included among the top collaborators of Syu‐Siang Wang 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 Syu‐Siang Wang. Syu‐Siang Wang 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
1.
Wang, Syu‐Siang, et al.. (2024). Unsupervised Face-Masked Speech Enhancement Using Generative Adversarial Networks With Human-in-the-Loop Assessment Metrics. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3826–3837.
2.
Wang, Syu‐Siang, et al.. (2024). Theta/beta ratio in EEG correlated with attentional capacity assessed by Conners Continuous Performance Test in children with ADHD. Frontiers in Psychiatry. 14. 1305397–1305397. 6 indexed citations
3.
4.
Wang, Syu‐Siang, et al.. (2023). Detection of Audio Tampering Based on Electric Network Frequency Signal. Sensors. 23(16). 7029–7029. 5 indexed citations
5.
Tsao, Yu, et al.. (2023). Application of bi-directional long-short-term memory network in cognitive age prediction based on EEG signals. Scientific Reports. 13(1). 20197–20197. 2 indexed citations
6.
Tsai, Li‐Ping, et al.. (2022). Dynamic Changes in the Quantitative Electroencephalographic Spectrum During Attention Tasks in Patients With Prader–Willi Syndrome. Frontiers in Genetics. 13. 763244–763244. 4 indexed citations
7.
8.
Wang, Syu‐Siang, et al.. (2020). Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System. 4686–4690. 16 indexed citations
9.
Fu, Szu‐Wei, Chien-Feng Liao, Kuo-Hsuan Hung, et al.. (2020). Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing. arXiv (Cornell University). 2 indexed citations
10.
Wang, Syu‐Siang, et al.. (2018). Locally linear embedding based post-filtering for speech enhancement. Journal of information science and engineering. 34(6). 1469–1491. 1 indexed citations
11.
Lee, Wei‐Jen, Syu‐Siang Wang, Fei Chen, et al.. (2018). Speech Dereverberation Based on Integrated Deep and Ensemble Learning.. arXiv (Cornell University). 1 indexed citations
12.
13.
Siniscalchi, Sabato Marco, et al.. (2017). Experimental Study on Extreme Learning Machine Applications for Speech Enhancement. IEEE Access. 5. 25542–25554. 32 indexed citations
14.
Lyu, Dau-Cheng, et al.. (2017). Multi-style learning with denoising autoencoders for acoustic modeling in the internet of things (IoT). Computer Speech & Language. 46. 481–495. 10 indexed citations
15.
Wang, Syu‐Siang, et al.. (2017). Suppression by Selecting Wavelets for Feature Compression in Distributed Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(3). 564–579. 11 indexed citations
16.
Wu, Yi-Chiao, Hsin-Te Hwang, Syu‐Siang Wang, et al.. (2017). A locally linear embbeding based postfiltering approach for speech enhancement. 5555–5559. 2 indexed citations
17.
Wang, Syu‐Siang, et al.. (2016). Maximum Entropy Learning with Deep Belief Networks. Entropy. 18(7). 251–251. 12 indexed citations
18.
Wang, Syu‐Siang, et al.. (2015). Temporal information in tone recognition. 82. 326–327. 2 indexed citations
19.
Hung, Jeih-weih, et al.. (2014). Speech enhancement using segmental nonnegative matrix factorization. 4483–4487. 30 indexed citations
20.
Wang, Syu‐Siang, Yu Tsao, & Jeih-weih Hung. (2013). Filtering on the temporal probability sequence in histogram equalization for robust speech recognition. 2007. 7112–7116.

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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