Rong Gui
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- stochastic dynamics and bifurcation 16
- Chaos control and synchronization 8
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 4
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- Nonlinear Dynamics and Pattern Formation 12
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- Probabilistic and Robust Engineering Design 3
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- Ecosystem dynamics and resilience 4
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- Gene Regulatory Network Analysis 7
- Protein Structure and Dynamics 2
- Co-authors
- Yuangen YaoMing YiCanjun WangJun MaYue WangLijian YangJuan XiongQuan Liu
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- PLoS ONE (2 papers)BMC Bioinformatics (1 paper)Physica A Statistical Mechanics and its Applications (2 papers)
- Partner nations
- China
In The Last Decade
Rong Gui
28 papers receiving 365 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 328
- Cognitive Neuroscience 141
- Computer Networks and Communications 149
- Statistics, Probability and Uncertainty 32
- Global and Planetary Change 52
Countries citing papers authored by Rong Gui
This map shows the geographic impact of Rong Gui'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 Rong Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Gui more than expected).
Fields of papers citing papers by Rong Gui
This network shows the impact of papers produced by Rong Gui. 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 Rong Gui. The network helps show where Rong Gui may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Rong Gui, 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 | 2024 | 1 | |
| 2 | 2024 | 18 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 21 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 5 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 39 | |
| 16 | 2016 | 17 | |
| 17 | 2016 | 4 | |
| 18 | 2016 | 1 | |
| 19 | 2013 | 1 | |
| 20 | [Effects of a novel gene NOR(1) on the protein expression of HepG2 cell line]. | 2008 | 1 |
About Rong Gui
Rong Gui is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 373 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (16 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Chaos control and synchronization (8 papers), Gene Regulatory Network Analysis (7 papers), Neural dynamics and brain function (4 papers), Ecosystem dynamics and resilience (4 papers), Probabilistic and Robust Engineering Design (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (328 citations), Cognitive Neuroscience (141 citations) and Computer Networks and Communications (149 citations). Rong Gui has collaborated with scholars based in China. Frequent co-authors include Yuangen Yao, Ming Yi, Canjun Wang, Jun Ma, Yue Wang, Lijian Yang, Juan Xiong, Quan Liu, Ya Jia and Jiaxin Li. Their work appears in journals such as PLoS ONE, BMC Bioinformatics and Physica A Statistical Mechanics and its Applications.
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.