Shu‐Mei Guo
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Chin-Chang YangL.S. ShiehLeang‐San ShiehJ.S.H. TsaiJason Sheng-Hong TsaiJason Sheng‐Hong TsaiGuanrong ChenChing-Fang Lin
- Topics
- Control Systems and Identification (32 papers)Advanced Control Systems Optimization (30 papers)Fault Detection and Control Systems (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationIEEE Transactions on Industrial Electronics
- Partner nations
- TaiwanUnited StatesVenezuela
In The Last Decade
Shu‐Mei Guo
99 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 622
- Control and Systems Engineering 589
- Computational Theory and Mathematics 304
- Computer Vision and Pattern Recognition 278
- Statistical and Nonlinear Physics 142
Countries citing papers authored by Shu‐Mei Guo
This map shows the geographic impact of Shu‐Mei Guo'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 Shu‐Mei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Mei Guo more than expected).
Fields of papers citing papers by Shu‐Mei Guo
This network shows the impact of papers produced by Shu‐Mei Guo. 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 Shu‐Mei Guo. The network helps show where Shu‐Mei Guo may publish in the future.
Co-authorship network of co-authors of Shu‐Mei Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Mei Guo. A scholar is included among the top collaborators of Shu‐Mei Guo 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 Shu‐Mei Guo. Shu‐Mei Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | 30 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | Double-Parameter Ridge-Type Kalman Filter Based on Signal-to-Noise Ratio Test | 1 |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 24 | |
| 17 | 9 | |
| 18 | 53 | |
| 19 | 10 | |
| 20 | 5 |
About Shu‐Mei Guo
Shu‐Mei Guo is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include Control Systems and Identification (32 papers), Advanced Control Systems Optimization (30 papers) and Fault Detection and Control Systems (26 papers). The work is most often cited by research in Control and Systems Engineering (589 citations), Artificial Intelligence (622 citations) and Computational Theory and Mathematics (304 citations). Shu‐Mei Guo has collaborated with scholars based in Taiwan, United States and Venezuela. Frequent co-authors include Chin-Chang Yang, L.S. Shieh, Leang‐San Shieh, J.S.H. Tsai, Jason Sheng-Hong Tsai, Jason Sheng‐Hong Tsai, Guanrong Chen, Ching-Fang Lin, Chein‐I Chang and Yongxing Du. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Industrial Electronics.
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.