Cheng‐Yuan Chang
- Control and Systems Engineering top 2%
- Computational Mechanics top 2%
- Signal Processing top 2%
- Biomedical Engineering top 10%
- Automotive Engineering top 5%
- Co-authors
- Sen M. KuoKuo‐Kai ShyuLun-Hui LeeChung-Hao HuangGuu-Chang YangWing C. KwongChiou‐Yng LeeShing‐Tai Pan
- Topics
- Advanced Adaptive Filtering Techniques (48 papers)Speech and Audio Processing (36 papers)Acoustic Wave Phenomena Research (28 papers)
- Partner nations
- TaiwanUnited StatesVietnam
In The Last Decade
Cheng‐Yuan Chang
84 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 70
- Control and Systems Engineering 570
- Computational Mechanics 538
- Signal Processing 402
- Biomedical Engineering 317
- Automotive Engineering 256
Countries citing papers authored by Cheng‐Yuan Chang
This map shows the geographic impact of Cheng‐Yuan Chang'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 Cheng‐Yuan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Yuan Chang more than expected).
Fields of papers citing papers by Cheng‐Yuan Chang
This network shows the impact of papers produced by Cheng‐Yuan Chang. 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 Cheng‐Yuan Chang. The network helps show where Cheng‐Yuan Chang may publish in the future.
Co-authorship network of co-authors of Cheng‐Yuan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Yuan Chang. A scholar is included among the top collaborators of Cheng‐Yuan Chang 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 Cheng‐Yuan Chang. Cheng‐Yuan Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | Active Snore Control System Integrated with Apnea Detector | 1 |
| 12 | 35 | |
| 13 | Active noise control systems for periodic noise signals | 1 |
| 14 | 11 | |
| 15 | 85 | |
| 16 | 59 | |
| 17 | Enhanced calibration method for camera distortion | 2 |
| 18 | 12 | |
| 19 | 1 | |
| 20 | Pseudo pin assignment with crosstalk noise control | 2 |
About Cheng‐Yuan Chang
Cheng‐Yuan Chang is a scholar working on Signal Processing, Computational Mechanics and Automotive Engineering, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (48 papers), Speech and Audio Processing (36 papers) and Acoustic Wave Phenomena Research (28 papers). The work is most often cited by research in Signal Processing (402 citations), Computational Mechanics (538 citations) and Control and Systems Engineering (570 citations). Cheng‐Yuan Chang has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Sen M. Kuo, Kuo‐Kai Shyu, Lun-Hui Lee, Chung-Hao Huang, Guu-Chang Yang, Wing C. Kwong, Chiou‐Yng Lee, Shing‐Tai Pan, Kou-Cheng Hsu and K.-C. Liao. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with 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.