Hsiao-Chuan Wang

1.3k total citations
97 papers, 779 citations indexed

About

Hsiao-Chuan Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hsiao-Chuan Wang has authored 97 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 62 papers in Signal Processing and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hsiao-Chuan Wang's work include Speech and Audio Processing (59 papers), Speech Recognition and Synthesis (59 papers) and Music and Audio Processing (24 papers). Hsiao-Chuan Wang is often cited by papers focused on Speech and Audio Processing (59 papers), Speech Recognition and Synthesis (59 papers) and Music and Audio Processing (24 papers). Hsiao-Chuan Wang collaborates with scholars based in Taiwan, China and United States. Hsiao-Chuan Wang's co-authors include Jen‐Tzung Chien, Ching‐Ta Lu, Yuh-Chung Lin, Kai-Chun Chu, Jeng‐Shyang Pan, Kuo-Chi Chang, Chin‐Hui Lee, Kuan‐Chang Chang, Frank K. Soong and Lin-shan Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Hsiao-Chuan Wang

92 papers receiving 695 citations

Peers

Hsiao-Chuan Wang
Comparison fields: 5 of 76
  • Signal Processing 495
  • Artificial Intelligence 473
  • Computer Vision and Pattern Recognition 115
  • Electrical and Electronic Engineering 99
  • Experimental and Cognitive Psychology 62
Replace Shingo Kuroiwa with:
Shingo Kuroiwa Japan
Mohammad Mehdi Homayounpour Iran
Mark Barnard United Kingdom
Ananya Misra United States
Pingchuan Ma United Kingdom
Carolina Parada United States
Atsunori Ogawa Japan
Joseph P. Campbell United States
Dorothea Kolossa Germany
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Shingo Kuroiwa Japan View profile →
Citations per field, relative to Hsiao-Chuan Wang
Hsiao-Chuan Wang · 1×
Citations per year, relative to Hsiao-Chuan Wang
Hsiao-Chuan Wang · 1×

Countries citing papers authored by Hsiao-Chuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao-Chuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao-Chuan 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 Hsiao-Chuan Wang. The network helps show where Hsiao-Chuan Wang may publish in the future.

Co-authorship network of co-authors of Hsiao-Chuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao-Chuan Wang. A scholar is included among the top collaborators of Hsiao-Chuan 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 Hsiao-Chuan Wang. Hsiao-Chuan 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
# Work Indexed citations
1 2
2 2
3 2
4 3
5 3
6 5
7 6
8 2
9 12
10 11
11 1
12 3
13 1
14 2
15 1
16 25
17 17
18 2
19 38
20 1

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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