Syu‐Siang Wang

1.1k citations
48 papers · 643 · h-index 13

Impact in

Papers in

Syu‐Siang Wang

42 papers receiving 621 citations

Peers

Syu‐Siang Wang
Comparison fields: 5 of 71
  • Signal Processing 398
  • Computational Mechanics 141
  • Artificial Intelligence 224
  • Cognitive Neuroscience 117
  • Pulmonary and Respiratory Medicine 135
Replace Gayadhar Pradhan with:
Gayadhar Pradhan India
Prem C. Pandey India
S. Shahnawazuddin India
Hong Tang China
Samit Kumar Ghosh India
Stephen So Australia
Kuo-Hsuan Hung Taiwan
Philippe Renevey Switzerland
L. N. Sharma India
Dimitrios Giannoulis Greece
Syu‐Siang Wang relative to Gayadhar Pradhan India Gayadhar Pradhan's profile →
Citations per field
00.5×1.5×2.3×
Gayadhar Pradhan · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016165
2 201694
3 201737
4 202037
5 201431
6 202028
7 202224
8 201623
9 201921
10 201620
11 202019
12 201513
13 201612
14 201712
15 201710
16 20249
17 20177
18 20236
19 20226
20 20196

About Syu‐Siang Wang

Syu‐Siang Wang is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 48 papers that have together received 643 indexed citations. Recurring topics across this work include Speech and Audio Processing (38 papers), Speech Recognition and Synthesis (21 papers), Music and Audio Processing (19 papers), Advanced Adaptive Filtering Techniques (15 papers), Hearing Loss and Rehabilitation (5 papers), Blind Source Separation Techniques (3 papers), Acoustic Wave Phenomena Research (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Signal Processing (398 citations), Computational Mechanics (141 citations), Artificial Intelligence (224 citations), Cognitive Neuroscience (117 citations) and Pulmonary and Respiratory Medicine (135 citations). Syu‐Siang Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yu Tsao, Ying-Hui Lai, Xugang Lu, Jeih-weih Hung, Fei Chen, Tien-En Chen, Li‐Ting Ho, Yu‐Hsuan Chen, Chau‐Chung Wu and Chin‐Hui Lee. Their work appears in journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Biomedical Engineering, Sensors and IEEE Signal Processing Letters.

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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