Chia-Ping Chen

1.2k citations
80 papers · 884 · h-index 16

Impact in

Papers in

    • Speech Recognition and Synthesis 40
    • Natural Language Processing Techniques 12
    • Topic Modeling 11
    • Speech and dialogue systems 7
    • Speech and Audio Processing 34
    • Music and Audio Processing 21

Chia-Ping Chen

73 papers receiving 819 citations

Peers

Chia-Ping Chen
Comparison fields: 5 of 94
  • Signal Processing 437
  • Artificial Intelligence 448
  • Computer Vision and Pattern Recognition 279
  • Media Technology 58
  • Experimental and Cognitive Psychology 77
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Citations per field
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Citations per year

Countries citing papers authored by Chia-Ping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Ping Chen. 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 Chia-Ping Chen. The network helps show where Chia-Ping Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Chia-Ping Chen, 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 Chia-Ping Chen Line = papers co-authored together Chia-Ping Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006160
2 201841
3 202139
4 200239
5 201733
6 201133
7 202033
8 200528
9 200227
10 201925
11 200525
12 202124
13 200623
14 201022
15 201319
16 201119
17 201115
18 200615
19 201114
20 201112

About Chia-Ping Chen

Chia-Ping Chen is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Media Technology, having authored 80 papers that have together received 884 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (40 papers), Speech and Audio Processing (34 papers), Music and Audio Processing (21 papers), Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers), Speech and dialogue systems (7 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Signal Processing (437 citations), Artificial Intelligence (448 citations), Computer Vision and Pattern Recognition (279 citations), Media Technology (58 citations) and Experimental and Cognitive Psychology (77 citations). Chia-Ping Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jeff Bilmes, Chu‐Song Chen, Hung-yi Lee, Lin-shan Lee, Yu-Lin Chang, Katrin Kirchhoff, Yuhao Huang, Yu-Lun Liu, Yonghong Yao and Yeong‐Cheng Liou. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Industrial Marketing Management, Medicine, Fixed Point Theory and Applications and IEEE Access.

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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