Chin-Cheng Hsu
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Materials Chemistry
- Computer Vision and Pattern Recognition
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Nae‐Lih WuYu TsaoHsin‐Min WangYi-Chiao WuHsin-Te HwangDorien HerremansKat AgresTai-Shih Chi
- Topics
- Speech and Audio Processing (7 papers)Speech Recognition and Synthesis (6 papers)Music and Audio Processing (4 papers)
- Cited by
- Signal ProcessingArtificial IntelligenceRenewable Energy, Sustainability and the Environment
- Journals
- Journal of Photochemistry and Photobiology A ChemistryBMC GeriatricsJournal of Ambient Intelligence and Humanized Computing
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chin-Cheng Hsu
18 papers receiving 326 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 227
- Artificial Intelligence 224
- Materials Chemistry 71
- Computer Vision and Pattern Recognition 44
- Renewable Energy, Sustainability and the Environment 40
Countries citing papers authored by Chin-Cheng Hsu
This map shows the geographic impact of Chin-Cheng Hsu'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 Chin-Cheng Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin-Cheng Hsu more than expected).
Fields of papers citing papers by Chin-Cheng Hsu
This network shows the impact of papers produced by Chin-Cheng Hsu. 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 Chin-Cheng Hsu. The network helps show where Chin-Cheng Hsu may publish in the future.
Co-authorship network of co-authors of Chin-Cheng Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Cheng Hsu. A scholar is included among the top collaborators of Chin-Cheng Hsu 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 Chin-Cheng Hsu. Chin-Cheng Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 28 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | 164 | |
| 17 | 14 | |
| 18 | 87 |
About Chin-Cheng Hsu
Chin-Cheng Hsu is a scholar working on Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 18 papers that have together received 363 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (6 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (227 citations), Artificial Intelligence (224 citations) and Renewable Energy, Sustainability and the Environment (40 citations). Chin-Cheng Hsu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Nae‐Lih Wu, Yu Tsao, Hsin‐Min Wang, Yi-Chiao Wu, Hsin-Te Hwang, Dorien Herremans, Kat Agres, Tai-Shih Chi, Shigeki Sugano and Ulrich Neumann. Their work appears in journals such as Journal of Photochemistry and Photobiology A Chemistry, BMC Geriatrics and Journal of Ambient Intelligence and Humanized Computing.
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.