Junzhong Yang

2.6k total citations
154 papers, 2.1k citations indexed

About

Junzhong Yang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Junzhong Yang has authored 154 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Networks and Communications, 72 papers in Statistical and Nonlinear Physics and 48 papers in Sociology and Political Science. Recurrent topics in Junzhong Yang's work include Nonlinear Dynamics and Pattern Formation (80 papers), Evolutionary Game Theory and Cooperation (46 papers) and Chaos control and synchronization (33 papers). Junzhong Yang is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (80 papers), Evolutionary Game Theory and Cooperation (46 papers) and Chaos control and synchronization (33 papers). Junzhong Yang collaborates with scholars based in China, United States and Germany. Junzhong Yang's co-authors include Qionglin Dai, Jinghua Xiao, Guang Hu, Mei Zhang, Zhilin Qu, Haihong Li, Yun Zhu, Changwei Huang, Gang Hu and Fagen Xie and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Investigation and Applied Physics Letters.

In The Last Decade

Junzhong Yang

142 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junzhong Yang China 25 1.2k 1.0k 417 280 263 154 2.1k
Timotéo Carletti Belgium 20 507 0.4× 782 0.7× 170 0.4× 179 0.6× 141 0.5× 120 1.7k
Christian Kuehn Germany 16 854 0.7× 1.1k 1.0× 101 0.2× 350 1.3× 63 0.2× 103 2.1k
Javier M. Buldú Spain 28 1.3k 1.1× 1.3k 1.3× 107 0.3× 887 3.2× 176 0.7× 117 2.8k
T.D. Frank United States 29 637 0.5× 1.9k 1.8× 75 0.2× 728 2.6× 148 0.6× 180 3.2k
Juan G. Restrepo United States 24 822 0.7× 774 0.7× 60 0.1× 519 1.9× 178 0.7× 60 2.0k
Alberto P. Muñuzuri Spain 24 1.4k 1.2× 715 0.7× 27 0.1× 133 0.5× 351 1.3× 129 1.9k
Hiroya Nakao Japan 28 1.8k 1.5× 1.3k 1.2× 49 0.1× 737 2.6× 259 1.0× 112 2.5k
Martin Krupa United States 26 1.3k 1.1× 1.4k 1.3× 35 0.1× 358 1.3× 64 0.2× 66 2.4k
Lev Ryashko Russia 27 1.0k 0.8× 1.7k 1.7× 52 0.1× 436 1.6× 31 0.1× 228 2.4k
Soumen Majhi India 21 1.4k 1.2× 1.3k 1.3× 128 0.3× 896 3.2× 258 1.0× 38 2.0k

Countries citing papers authored by Junzhong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junzhong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junzhong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Junzhong Yang. A scholar is included among the top collaborators of Junzhong 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 Junzhong Yang. Junzhong 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.
Liang, Jinfeng, et al.. (2025). The coevolution of cooperation: Integrating Q-learning and occasional social interactions in evolutionary games. Chaos Solitons & Fractals. 194. 116165–116165. 5 indexed citations
2.
Yang, Junzhong, et al.. (2025). Emotion-coupled Q-learning with cognitive bias enhances cooperation in evolutionary prisoner’s dilemma games. Chaos Solitons & Fractals. 200. 116923–116923.
3.
Li, Haihong, et al.. (2025). Generalized synchronization between two distinct chaotic systems through deep reinforcement learning. Chaos Solitons & Fractals. 199. 116727–116727. 1 indexed citations
4.
Dai, Qionglin, et al.. (2025). Spatial public goods game on hypergraphs with particle swarm intelligence. Chaos Solitons & Fractals. 201. 117304–117304.
5.
Li, Haihong, et al.. (2024). Particle swarm intelligence promotes cooperation by adapting interaction radii in co-evolutionary games. Applied Mathematics and Computation. 474. 128677–128677. 1 indexed citations
7.
Li, Haihong, et al.. (2024). Interdependent evolutionary dynamics of opinion and strategy on two-layer networks. Chaos Solitons & Fractals. 191. 115933–115933. 2 indexed citations
8.
Li, Haihong, et al.. (2024). Promotion of cooperation by payoff-based view radii in different interaction modes. Europhysics Letters (EPL). 147(1). 12002–12002.
9.
Li, Haihong, et al.. (2024). Spiral wave chimeras in nonlocally coupled excitable FitzHugh–Nagumo neurons. Chaos Solitons & Fractals. 189. 115681–115681. 1 indexed citations
10.
Dai, Qionglin, et al.. (2024). Analysis of equilibria in a ring of phase oscillators with nearest-neighbor and next-nearest-neighbor interactions. Physical review. E. 110(6). 64224–64224. 1 indexed citations
11.
Li, Haihong, et al.. (2024). Coexistence of multistable synchronous states in a three-oscillator system with higher-order interaction. Physical review. E. 110(3). 34311–34311. 2 indexed citations
12.
Li, Haihong, et al.. (2023). A deep reinforcement learning method to control chaos synchronization between two identical chaotic systems. Chaos Solitons & Fractals. 174. 113809–113809. 22 indexed citations
13.
Guo, Yüjie, et al.. (2023). Network adaption based on environment feedback promotes cooperation in co-evolutionary games. Physica A Statistical Mechanics and its Applications. 617. 128689–128689. 6 indexed citations
14.
Dai, Qionglin, et al.. (2023). Dynamics reconstruction in the presence of bistability by using reservoir computer. Chaos Solitons & Fractals. 172. 113523–113523. 4 indexed citations
15.
Yang, Junzhong, et al.. (2021). Dynamics in two interacting subpopulations of nonidentical phase oscillators. Physical review. E. 103(5). 52208–52208. 3 indexed citations
16.
Lin, Fang, et al.. (2017). Multistable states in a system of coupled phase oscillators with inertia. Scientific Reports. 7(1). 42178–42178. 5 indexed citations
17.
Yang, Junzhong, et al.. (2017). Synchronous dynamics in the Kuramoto model with biharmonic interaction and bimodal frequency distribution. Physical review. E. 96(2). 22202–22202. 11 indexed citations
18.
Dai, Qionglin, Hongyan Cheng, Haihong Li, et al.. (2011). Crossover between structured and well-mixed networks in an evolutionary prisoner’s dilemma game. Physical Review E. 84(1). 11103–11103. 8 indexed citations
19.
Xiao, Jinghua, Haihong Li, Junzhong Yang, & Gang Hu. (2006). Chaotic turing pattern formation in spatiotemporal systems. Frontiers of Physics in China. 1(2). 204–208. 11 indexed citations
20.
Yang, Junzhong, Fagen Xie, Zhilin Qu, & Alan Garfinkel. (2003). Mechanism for Spiral Wave Breakup in Excitable and Oscillatory Media. Physical Review Letters. 91(14). 148302–148302. 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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