Ruoxia Li
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 5%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Topics
- Neural Networks Stability and Synchronization (62 papers)Advanced Memory and Neural Computing (49 papers)stochastic dynamics and bifurcation (36 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsElectrical and Electronic Engineering
- Partner nations
- ChinaSouth KoreaSaudi Arabia
In The Last Decade
Ruoxia Li
61 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 1.5k
- Electrical and Electronic Engineering 849
- Statistical and Nonlinear Physics 773
- Artificial Intelligence 422
- Control and Systems Engineering 243
Countries citing papers authored by Ruoxia Li
This map shows the geographic impact of Ruoxia Li'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 Ruoxia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoxia Li more than expected).
Fields of papers citing papers by Ruoxia Li
This network shows the impact of papers produced by Ruoxia Li. 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 Ruoxia Li. The network helps show where Ruoxia Li may publish in the future.
Co-authorship network of co-authors of Ruoxia Li
This figure shows the co-authorship network connecting the top 25 collaborators of Ruoxia Li. A scholar is included among the top collaborators of Ruoxia Li 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 Ruoxia Li. Ruoxia Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 70 | |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 16 | |
| 15 | Fixed-time synchronization of delayed memristor-based recurrent neural networksbreakdown → | 289 |
| 16 | 5 | |
| 17 | 35 | |
| 18 | 10 | |
| 19 | 93 | |
| 20 | 24 |
About Ruoxia Li
Ruoxia Li is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (62 papers), Advanced Memory and Neural Computing (49 papers) and stochastic dynamics and bifurcation (36 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Statistical and Nonlinear Physics (773 citations) and Electrical and Electronic Engineering (849 citations). Ruoxia Li has collaborated with scholars based in China, South Korea and Saudi Arabia. Frequent co-authors include Jinde Cao, Hongzhi Wei, Xingbao Gao, Rong Yao, Huaiqin Wu, Zhengwen Tu, Chun-Rong Chen, Craig Montell, Fuad E. Alsaadi and Ahmad Alsaedi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Current Biology.
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.