Shih-Gu Huang
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Cognitive Neuroscience
- Co-authors
- Soo‐Chang PeiAnqi QiuMoo K. ChungLiyuan XuJing XiaIlwoo LyuAndrey GritsenkoHernando Ombao
- Topics
- Image and Signal Denoising Methods (7 papers)Digital Filter Design and Implementation (6 papers)Mathematical Analysis and Transform Methods (6 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Medical ImagingIEEE Transactions on Communications
- Partner nations
- TaiwanUnited StatesSingapore
In The Last Decade
Shih-Gu Huang
21 papers receiving 305 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 97
- Electrical and Electronic Engineering 84
- Control and Systems Engineering 66
- Signal Processing 53
- Cognitive Neuroscience 47
Countries citing papers authored by Shih-Gu Huang
This map shows the geographic impact of Shih-Gu Huang'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 Shih-Gu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Gu Huang more than expected).
Fields of papers citing papers by Shih-Gu Huang
This network shows the impact of papers produced by Shih-Gu Huang. 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 Shih-Gu Huang. The network helps show where Shih-Gu Huang may publish in the future.
Co-authorship network of co-authors of Shih-Gu Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Gu Huang. A scholar is included among the top collaborators of Shih-Gu Huang 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 Shih-Gu Huang. Shih-Gu Huang 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 | 21 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | Instantaneous frequency estimation by group delay attractors and instantaneous frequency attractors | 1 |
| 17 | 12 | |
| 18 | Improvement of Active Interference Cancellation : Avoidance Technique for OFDM Cognitive Radio | 17 |
| 19 | 24 | |
| 20 | 8 |
About Shih-Gu Huang
Shih-Gu Huang is a scholar working on Signal Processing, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 308 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Digital Filter Design and Implementation (6 papers) and Mathematical Analysis and Transform Methods (6 papers). The work is most often cited by research in Signal Processing (53 citations), Computer Vision and Pattern Recognition (97 citations) and Applied Mathematics (45 citations). Shih-Gu Huang has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Soo‐Chang Pei, Anqi Qiu, Moo K. Chung, Liyuan Xu, Jing Xia, Ilwoo Lyu, Andrey Gritsenko, Hernando Ombao, Li Shen and Jian–Jiun Ding. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Medical Imaging and IEEE Transactions on Communications.
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.