Shouping Guan
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Mechanical Engineering
- Mechanics of Materials
- Topics
- Neural Networks and Applications (15 papers)Fault Detection and Control Systems (14 papers)Advanced Control Systems Optimization (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEnergy
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shouping Guan
48 papers receiving 320 citations
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 235
- Computer Networks and Communications 69
- Artificial Intelligence 66
- Mechanical Engineering 44
- Mechanics of Materials 28
Countries citing papers authored by Shouping Guan
This map shows the geographic impact of Shouping Guan'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 Shouping Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouping Guan more than expected).
Fields of papers citing papers by Shouping Guan
This network shows the impact of papers produced by Shouping Guan. 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 Shouping Guan. The network helps show where Shouping Guan may publish in the future.
Co-authorship network of co-authors of Shouping Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Shouping Guan. A scholar is included among the top collaborators of Shouping Guan 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 Shouping Guan. Shouping Guan 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 | 6 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | A surface defect detection method of the magnesium alloy sheet based on deformable convolution neural network | 2 |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | Stabilization of interval type-2 T-S fuzzy control systems with time varying delay | 1 |
| 14 | A Wavelet Coefficient Threshold Denoising Method Based on a Cross-Correlation Function | 1 |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | Estimation of sensor faults for sampled-data systems in H-infinity setting | 1 |
| 19 | 42 | |
| 20 | 2 |
About Shouping Guan
Shouping Guan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Energy Engineering and Power Technology, having authored 56 papers that have together received 331 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Fault Detection and Control Systems (14 papers) and Advanced Control Systems Optimization (12 papers). The work is most often cited by research in Control and Systems Engineering (235 citations), Computer Networks and Communications (69 citations) and Artificial Intelligence (66 citations). Shouping Guan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Han‐Xiong Li, Fuli Wang, Feisheng Yang, Dianhui Wang, S.K. Tso, Hui Li, Hui Li, Yingwei Zhang, Xiangming Chen and Yuyong Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Energy.
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.