Xiaoli Ruan
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
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- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
Papers in
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- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 5
- Genomics and Phylogenetic Studies 3
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- Neural Networks Stability and Synchronization 7
- Distributed Control Multi-Agent Systems 4
- Nonlinear Dynamics and Pattern Formation 2
- Co-authors
- Dongming Zhou (7 shared papers)Jingyi Wang (4 shared papers)Yanbu Guo (5 shared papers)Jianwen Feng (4 shared papers)Chen Xu (3 shared papers)Jinde Cao (3 shared papers)Rencan Nie (6 shared papers)Dong Liu (1 shared paper)
- Journals
- BioMed Research International (1 paper)Neurocomputing (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)IEEE Transactions on Network Science and Engineering (1 paper)Advances in Difference Equations (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaoli Ruan
18 papers receiving 391 citations
Peers
Comparison fields: 5 of 75
- Media Technology 73
- Computer Networks and Communications 135
- Computer Vision and Pattern Recognition 88
- Control and Systems Engineering 78
- Neurology 17
Countries citing papers authored by Xiaoli Ruan
This map shows the geographic impact of Xiaoli Ruan'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 Xiaoli Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ruan more than expected).
Fields of papers citing papers by Xiaoli Ruan
This network shows the impact of papers produced by Xiaoli Ruan. 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 Xiaoli Ruan. The network helps show where Xiaoli Ruan may publish in the future.
Co-authors
The 23 scholars most cited alongside Xiaoli Ruan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2023 | 96 | |
| 3 | 2018 | 88 | |
| 4 | 2021 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2017 | 11 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2024 | 1 |
About Xiaoli Ruan
Xiaoli Ruan is a scholar working on Molecular Biology, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 18 papers that have together received 395 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (7 papers), Machine Learning in Bioinformatics (6 papers), RNA and protein synthesis mechanisms (5 papers), Distributed Control Multi-Agent Systems (4 papers), Genomics and Phylogenetic Studies (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Advanced Memory and Neural Computing (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Media Technology (73 citations), Computer Networks and Communications (135 citations), Computer Vision and Pattern Recognition (88 citations), Control and Systems Engineering (78 citations) and Neurology (17 citations). Xiaoli Ruan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dongming Zhou, Jingyi Wang, Yanbu Guo, Jianwen Feng, Chen Xu, Jinde Cao, Rencan Nie, Dong Liu, Ruichao Hou and Yi Zhao. Their work appears in journals such as BioMed Research International, Neurocomputing, Physica A Statistical Mechanics and its Applications, IEEE Transactions on Network Science and Engineering and Advances in Difference Equations.
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.