Suoxia Miao
- Computer Vision and Pattern Recognition top 2%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Topics
- Neural Networks Stability and Synchronization (17 papers)Chaos-based Image/Signal Encryption (16 papers)Distributed Control Multi-Agent Systems (16 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsComputational Theory and Mathematics
- Partner nations
- China
In The Last Decade
Suoxia Miao
34 papers receiving 839 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 576
- Statistical and Nonlinear Physics 308
- Computer Networks and Communications 232
- Computational Theory and Mathematics 205
- Artificial Intelligence 161
Countries citing papers authored by Suoxia Miao
This map shows the geographic impact of Suoxia Miao'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 Suoxia Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suoxia Miao more than expected).
Fields of papers citing papers by Suoxia Miao
This network shows the impact of papers produced by Suoxia Miao. 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 Suoxia Miao. The network helps show where Suoxia Miao may publish in the future.
Co-authorship network of co-authors of Suoxia Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Suoxia Miao. A scholar is included among the top collaborators of Suoxia Miao 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 Suoxia Miao. Suoxia Miao 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 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 81 | |
| 11 | 10 | |
| 12 | 64 | |
| 13 | 71 | |
| 14 | 90 | |
| 15 | 15 | |
| 16 | 27 | |
| 17 | 29 | |
| 18 | 75 | |
| 19 | 6 | |
| 20 | 15 |
About Suoxia Miao
Suoxia Miao is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 863 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (17 papers), Chaos-based Image/Signal Encryption (16 papers) and Distributed Control Multi-Agent Systems (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (576 citations), Statistical and Nonlinear Physics (308 citations) and Computational Theory and Mathematics (205 citations). Suoxia Miao has collaborated with scholars based in China. Frequent co-authors include Lingfeng Liu, Housheng Su, Hanping Hu, Ji Lin, Mengfan Cheng, Xiaojing Gao, Bocheng Liu, Ze Wang, Shiming Chen and Xiaoming Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, Scientific Reports and Information Sciences.
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.