Zhuoqin Yang

822 total citations
54 papers, 678 citations indexed

About

Zhuoqin Yang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Zhuoqin Yang has authored 54 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistical and Nonlinear Physics, 26 papers in Cognitive Neuroscience and 25 papers in Computer Networks and Communications. Recurrent topics in Zhuoqin Yang's work include stochastic dynamics and bifurcation (36 papers), Neural dynamics and brain function (26 papers) and Nonlinear Dynamics and Pattern Formation (21 papers). Zhuoqin Yang is often cited by papers focused on stochastic dynamics and bifurcation (36 papers), Neural dynamics and brain function (26 papers) and Nonlinear Dynamics and Pattern Formation (21 papers). Zhuoqin Yang collaborates with scholars based in China, United States and Australia. Zhuoqin Yang's co-authors include Qishao Lu, Lijian Yang, Jun Tang, Jun Ma, Huaguang Gu, Lixia Duan, Xia Shi, Miaomiao Xing, Yanhong Zheng and Li Li and has published in prestigious journals such as Optics Express, Physics Letters A and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Zhuoqin Yang

50 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuoqin Yang China 13 514 390 341 116 100 54 678
Hengtong Wang China 12 423 0.8× 421 1.1× 244 0.7× 116 1.0× 102 1.0× 28 542
Shenquan Liu China 15 380 0.7× 324 0.8× 266 0.8× 91 0.8× 67 0.7× 75 647
Kunichika Tsumoto Japan 14 290 0.6× 244 0.6× 201 0.6× 104 0.9× 49 0.5× 30 582
Maosheng Wang China 14 431 0.8× 364 0.9× 272 0.8× 54 0.5× 113 1.1× 49 607
Kensuke Arai Japan 11 270 0.5× 311 0.8× 366 1.1× 88 0.8× 28 0.3× 35 591
Jiqian Zhang China 11 346 0.7× 232 0.6× 207 0.6× 37 0.3× 96 1.0× 27 418
Jun-nosuke Teramae Japan 15 459 0.9× 558 1.4× 438 1.3× 189 1.6× 142 1.4× 31 846
Jennifer Foss United States 4 330 0.6× 298 0.8× 309 0.9× 70 0.6× 45 0.5× 5 552
Sarbendu Rakshit India 15 555 1.1× 330 0.8× 631 1.9× 49 0.4× 54 0.5× 27 789
Thiago de Lima Prado Brazil 16 333 0.6× 313 0.8× 248 0.7× 71 0.6× 32 0.3× 50 521

Countries citing papers authored by Zhuoqin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhuoqin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoqin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoqin Yang. A scholar is included among the top collaborators of Zhuoqin Yang 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 Zhuoqin Yang. Zhuoqin Yang 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, Zhuoqin, et al.. (2024). Dynamics and multi-scale modeling with time delays for three stages of synaptic facilitation. Nonlinear Dynamics. 112(11). 9531–9546.
2.
Yang, Zhuoqin, et al.. (2023). Dynamic modelling and tristability analysis of misfolded α-synuclein degraded via autophagy in Parkinson's disease. Biosystems. 233. 105036–105036. 4 indexed citations
3.
Yang, Zhuoqin, et al.. (2023). Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease. Frontiers in Computational Neuroscience. 17. 1068150–1068150. 6 indexed citations
4.
5.
Yang, Zhuoqin, et al.. (2022). New topological classification of bursting in multi-time-scale Chay–Cook model. The European Physical Journal Special Topics. 231(11-12). 2277–2288. 7 indexed citations
6.
Yang, Zhuoqin, et al.. (2021). Mathematical modeling and bistability analysis for synaptic tagging and synapse-specific long-term facilitation in Aplysia. The European Physical Journal Special Topics. 231(5). 963–977. 1 indexed citations
7.
Yang, Zhuoqin, et al.. (2021). Dynamical Mechanisms for Gene Regulation Mediated by Two Noncoding RNAs in Long-Term Memory Formation. Neural Plasticity. 2021. 1–12. 4 indexed citations
8.
Yang, Zhuoqin, et al.. (2021). Deterministic and stochastic dynamics in a gene regulatory network mediated by miRNA. Nonlinear Dynamics. 103(3). 2903–2916. 6 indexed citations
9.
Yang, Zhuoqin, et al.. (2020). From reversible to irreversible bistable switches via bifurcations in a gene regulatory network. Physical Biology. 17(4). 46001–46001. 4 indexed citations
10.
Yang, Zhuoqin, Yin Zhang, & Fuqiang Wu. (2020). Memristive magnetic coupling feedback induces wave-pattern transition. Nonlinear Dynamics. 100(1). 647–658. 16 indexed citations
11.
Wang, Guiyuan, Zhuoqin Yang, & Marc Turcotte. (2020). Dynamic Analysis of the Time-Delayed Genetic Regulatory Network Between Two Auto-Regulated and Mutually Inhibitory Genes. Bulletin of Mathematical Biology. 82(4). 46–46. 8 indexed citations
12.
Xing, Miaomiao, Xinlin Song, Zhuoqin Yang, & Yong Chen. (2020). Bifurcations and excitability in the temperature-sensitive Morris–Lecar neuron. Nonlinear Dynamics. 100(3). 2687–2698. 29 indexed citations
13.
Ma, Jun, Zhuoqin Yang, Lijian Yang, & Jun Tang. (2019). A physical view of computational neurodynamics. Journal of Zhejiang University. Science A. 20(9). 639–659. 152 indexed citations
14.
Wang, Guiyuan & Zhuoqin Yang. (2018). Stability and Hopf Bifurcation Analysis in a Delayed Myc/E2F/miR-17-92 Network Involving Interlinked Positive and Negative Feedback Loops. Discrete Dynamics in Nature and Society. 2018. 1–12. 4 indexed citations
15.
Yang, Zhuoqin, et al.. (2016). Global dynamics and stability of p53-Mdm2 oscillator mediated by Mdm2 production rate. Acta Physica Sinica. 65(2). 28701–28701. 4 indexed citations
16.
Yang, Zhuoqin, et al.. (2015). Bifurcation analysis and potential landscapes of the p53-Mdm2 module regulated by the co-activator programmed cell death 5. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(11). 113103–113103. 12 indexed citations
17.
Yang, Zhuoqin, et al.. (2013). Compound bursting in an electrical coupling model with three different time scales. Acta Physica Sinica. 62(17). 170508–170508. 1 indexed citations
18.
Yang, Zhuoqin, et al.. (2013). Subtle interplay of stochasticity and deterministic dynamics pervades an evolutionary plausible genetic circuit for Bacillus subtilis competence. Mathematical Biosciences. 246(1). 148–163. 2 indexed citations
19.
Yang, Zhuoqin, et al.. (2011). Study on bursting of pancreatic cells in codimension-2 bifurcation regions. Acta Physica Sinica. 60(11). 110202–110202. 2 indexed citations
20.
Yang, Zhuoqin & Qishao Lu. (2008). Different types of bursting in Chay neuronal model. Science in China. Series G, Physics, mechanics & astronomy. 51(6). 687–698. 37 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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