Guojian Ren

694 total citations
55 papers, 483 citations indexed

About

Guojian Ren is a scholar working on Computer Networks and Communications, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics. According to data from OpenAlex, Guojian Ren has authored 55 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 22 papers in Public Health, Environmental and Occupational Health and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Guojian Ren's work include Neural Networks Stability and Synchronization (31 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers) and Distributed Control Multi-Agent Systems (18 papers). Guojian Ren is often cited by papers focused on Neural Networks Stability and Synchronization (31 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers) and Distributed Control Multi-Agent Systems (18 papers). Guojian Ren collaborates with scholars based in China and United States. Guojian Ren's co-authors include Yongguang Yu, Conghui Xu, YangQuan Chen, Lipo Mo, Shuo Zhang, Shuhui Wang, Wang Hu, Zhenzhen Lu, Wei Chen and Xinhui Si and has published in prestigious journals such as Energy, Information Sciences and Neurocomputing.

In The Last Decade

Guojian Ren

46 papers receiving 470 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guojian Ren China 12 312 167 124 123 89 55 483
Mohammed-Salah Abdelouahab Algeria 10 180 0.6× 106 0.6× 241 1.9× 176 1.4× 45 0.5× 28 488
Zaitang Huang China 16 145 0.5× 92 0.6× 104 0.8× 144 1.2× 119 1.3× 42 534
Xiang Wu China 11 204 0.7× 61 0.4× 185 1.5× 100 0.8× 74 0.8× 32 444
Bo Du China 12 163 0.5× 95 0.6× 106 0.9× 72 0.6× 48 0.5× 59 449
Yingkang Xie China 11 130 0.4× 167 1.0× 57 0.5× 147 1.2× 170 1.9× 16 413
Chinwendu Enyioha United States 9 139 0.4× 105 0.6× 221 1.8× 132 1.1× 45 0.5× 24 441
Ardak Kashkynbayev Kazakhstan 10 247 0.8× 46 0.3× 122 1.0× 52 0.4× 76 0.9× 68 392
Xin Long China 8 240 0.8× 101 0.6× 75 0.6× 37 0.3× 32 0.4× 15 385
Xiaohua Ding China 16 400 1.3× 137 0.8× 199 1.6× 67 0.5× 130 1.5× 52 604
Hongxiao Hu China 14 180 0.6× 167 1.0× 96 0.8× 171 1.4× 139 1.6× 39 449

Countries citing papers authored by Guojian Ren

Since Specialization
Citations

This map shows the geographic impact of Guojian Ren'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 Guojian Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guojian Ren more than expected).

Fields of papers citing papers by Guojian Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guojian Ren. 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 Guojian Ren. The network helps show where Guojian Ren may publish in the future.

Co-authorship network of co-authors of Guojian Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Guojian Ren. A scholar is included among the top collaborators of Guojian Ren 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 Guojian Ren. Guojian Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Dongsheng, et al.. (2025). Exponential bipartite synchronization of distributed-order multilayer neural networks with antagonistic interactions via aperiodic intermittent control. Communications in Nonlinear Science and Numerical Simulation. 147. 108820–108820.
2.
Yu, Yongguang, et al.. (2025). Affine formation for heterogeneous multi-agent systems with switching topologies under DoS attacks. Journal of the Franklin Institute. 362(13). 107858–107858.
3.
Yang, Dongsheng, Wang Hu, Guojian Ren, Yongguang Yu, & Xiaoli Zhang. (2025). Event-triggered control for projective synchronization fractional-order switched coupled neural networks with higher-order interactions. Neurocomputing. 623. 129407–129407. 2 indexed citations
4.
Yang, Dongsheng, Wang Hu, Guojian Ren, Yongguang Yu, & Xiaoli Zhang. (2025). Synchronization of short memory fractional coupled neural networks with higher-order interactions via novel intermittent control. Applied Mathematics and Computation. 497. 129363–129363.
5.
Yu, Yan, et al.. (2025). State-of-health estimation for lithium-ion batteries using unsupervised deep subdomain adaptation. Energy. 324. 135862–135862. 1 indexed citations
6.
Yu, Yongguang, et al.. (2024). Mean-square consensus control of multi-agent systems driven by fractional Brownian motion. Science China Information Sciences. 67(11).
7.
Hu, Wang, et al.. (2024). A fractional-order two-strain SVIR model with stability analysis. Chinese Journal of Physics. 91. 674–686. 2 indexed citations
8.
Yu, Yongguang, et al.. (2024). Leader-Following Formation Control for Discrete-Time Fractional Stochastic Multi-Agent Systems by Event-Triggered Strategy. Fractal and Fractional. 8(5). 246–246. 4 indexed citations
9.
Ren, Guojian, et al.. (2024). Boundary Disturbance Rejection Control for Fractional-order Multi-agent Systems with Reaction-diffusion. IFAC-PapersOnLine. 58(12). 237–242.
10.
Yu, Yongguang, et al.. (2024). Random attractors for fractional stochastic reaction–diffusion systems with fractional Brownian motion. Chaos Solitons & Fractals. 190. 115775–115775. 1 indexed citations
11.
Ren, Guojian, et al.. (2024). Containment control of fractional complex networks with stochastic communication noises. Nonlinear Dynamics. 112(24). 22101–22112. 1 indexed citations
12.
Ren, Guojian, Yongguang Yu, Kun Wang, et al.. (2023). A non-linear diffusion of amorphous Pt studied using a variable-order fractional model. Physica B Condensed Matter. 673. 415448–415448. 2 indexed citations
13.
Yang, Dongsheng, et al.. (2023). Successive lag synchronization of heterogeneous distributed-order coupled neural networks with unbounded delayed coupling. Chaos Solitons & Fractals. 178. 114337–114337. 4 indexed citations
14.
Xu, Conghui, et al.. (2023). Stability analysis and optimal control of a fractional-order generalized SEIR model for the COVID-19 pandemic. Applied Mathematics and Computation. 457. 128210–128210. 8 indexed citations
15.
Lu, Zhenzhen, YangQuan Chen, Yongguang Yu, et al.. (2022). The effect mitigation measures for COVID-19 by a fractional-order SEIHRDP model with individuals migration. ISA Transactions. 132. 582–597. 4 indexed citations
16.
Yu, Yongguang, et al.. (2022). Stability analysis of a nonlocal SIHRDP epidemic model with memory effects. Nonlinear Dynamics. 109(1). 121–141. 7 indexed citations
17.
Mo, Lipo, et al.. (2020). Distributed Containment Control of Fractional-order Multi-agent Systems with Double-integrator and Nonconvex Control Input Constraints. International Journal of Control Automation and Systems. 18(7). 1728–1742. 18 indexed citations
18.
Yu, Yongguang, et al.. (2020). A fractional-order SEIHDR model for COVID-19 with inter-city networked coupling effects. Nonlinear Dynamics. 101(3). 1717–1730. 58 indexed citations
19.
Ren, Guojian, et al.. (2019). Adaptive Pinning Synchronization of Fractional Complex Networks with Impulses and Reaction–Diffusion Terms. Mathematics. 7(5). 405–405. 7 indexed citations
20.
Ren, Guojian & Yongguang Yu. (2017). Robust consensus for fractional nonlinear multi-agent systems with external disturbances. 11401–11407. 2 indexed citations

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.

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