Chia-Ping Chen
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Media Technology top 10%
- Co-authors
- Jeff BilmesChu‐Song ChenHung-yi LeeLin-shan LeeKatrin KirchhoffYeong‐Cheng LiouYonghong YaoYuhao Huang
- Topics
- Speech Recognition and Synthesis (39 papers)Speech and Audio Processing (33 papers)Music and Audio Processing (20 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chia-Ping Chen
67 papers receiving 704 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 421
- Signal Processing 410
- Computer Vision and Pattern Recognition 206
- Experimental and Cognitive Psychology 77
- Media Technology 33
Countries citing papers authored by Chia-Ping Chen
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
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-authorship network of co-authors of Chia-Ping Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Ping Chen. A scholar is included among the top collaborators of Chia-Ping Chen 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 Chia-Ping Chen. Chia-Ping Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 33 | |
| 4 | Exploiting Low-Resource Code-Switching Data to Mandarin-English Speech Recognition Systems | 1 |
| 5 | 20 | |
| 6 | 5 | |
| 7 | 21 | |
| 8 | 6 | |
| 9 | Data-driven rescaled Teager energy cepstral coefficients for noise-robust speech recognition | 0 |
| 10 | Semantic Information and Derivation Rules for Robust Dialogue Act Detection in a Spoken Dialogue System | 1 |
| 11 | 12 | |
| 12 | 12 | |
| 13 | A hidden Markov model-based approach for emotional speech synthesis. | 6 |
| 14 | Noise-Robust Speech Features Based on Cepstral Time Coefficients | 2 |
| 15 | Automatic Learning of Context-Free Grammar. | 2 |
| 16 | The 4-Source Photometric Stereo Under General Unknown Lighting | 1 |
| 17 | 4 | |
| 18 | 153 | |
| 19 | An Approach to Using the Web as a Live Corpus for Spoken Transliteration Name Access | 2 |
| 20 | 24 |
About Chia-Ping Chen
Chia-Ping Chen is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 762 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (39 papers), Speech and Audio Processing (33 papers) and Music and Audio Processing (20 papers). The work is most often cited by research in Signal Processing (410 citations), Artificial Intelligence (421 citations) and Computer Vision and Pattern Recognition (206 citations). Chia-Ping Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jeff Bilmes, Chu‐Song Chen, Hung-yi Lee, Lin-shan Lee, Katrin Kirchhoff, Yeong‐Cheng Liou, Yonghong Yao, Yuhao Huang, Ching-Feng Yeh and Yu-Lin Chang. Their work appears in journals such as IEEE Access, Medicine and Industrial Marketing Management.
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.