Shyh-Rong Lay
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Control and Systems Engineering
- Statistics and Probability top 10%
- Co-authors
- Jenq–Neng HwangAndrew LippmanMartin MächlerR. Douglas MartinI‐Chang JouE.A. RiskinLes Atlas
- Topics
- Neural Networks and Applications (5 papers)Machine Learning and ELM (3 papers)Image and Signal Denoising Methods (1 paper)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Neural NetworksIEEE International Conference on Neural Networks
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
Shyh-Rong Lay
8 papers receiving 395 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 277
- Computer Vision and Pattern Recognition 108
- Signal Processing 63
- Control and Systems Engineering 53
- Statistics and Probability 38
Countries citing papers authored by Shyh-Rong Lay
This map shows the geographic impact of Shyh-Rong Lay'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 Shyh-Rong Lay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyh-Rong Lay more than expected).
Fields of papers citing papers by Shyh-Rong Lay
This network shows the impact of papers produced by Shyh-Rong Lay. 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 Shyh-Rong Lay. The network helps show where Shyh-Rong Lay may publish in the future.
Co-authorship network of co-authors of Shyh-Rong Lay
This figure shows the co-authorship network connecting the top 25 collaborators of Shyh-Rong Lay. A scholar is included among the top collaborators of Shyh-Rong Lay 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 Shyh-Rong Lay. Shyh-Rong Lay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 49 | |
| 7 | 166 | |
| 8 | 192 |
About Shyh-Rong Lay
Shyh-Rong Lay is a scholar working on Artificial Intelligence, Media Technology and Signal Processing, having authored 8 papers that have together received 420 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Machine Learning and ELM (3 papers) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Artificial Intelligence (277 citations), Signal Processing (63 citations) and Computer Vision and Pattern Recognition (108 citations). Shyh-Rong Lay has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Jenq–Neng Hwang, Andrew Lippman, Martin Mächler, R. Douglas Martin, I‐Chang Jou, E.A. Riskin and Les Atlas. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and IEEE International Conference on Neural Networks.
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.