Chengdong Yang

926 total citations
67 papers, 710 citations indexed

About

Chengdong Yang is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Chengdong Yang has authored 67 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 27 papers in Control and Systems Engineering and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Chengdong Yang's work include Neural Networks Stability and Synchronization (35 papers), Distributed Control Multi-Agent Systems (21 papers) and Nonlinear Dynamics and Pattern Formation (19 papers). Chengdong Yang is often cited by papers focused on Neural Networks Stability and Synchronization (35 papers), Distributed Control Multi-Agent Systems (21 papers) and Nonlinear Dynamics and Pattern Formation (19 papers). Chengdong Yang collaborates with scholars based in China, Saudi Arabia and United States. Chengdong Yang's co-authors include Jianlong Qiu, Ancai Zhang, Jinde Cao, Tingwen Huang, Xiangyong Chen, Cheng Hu, Feng Liang, Haijun Jiang, Juan Yu and Haibo He and has published in prestigious journals such as Energy & Environmental Science, IEEE Access and Information Sciences.

In The Last Decade

Chengdong Yang

60 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengdong Yang China	15	482	262	170	86	80	67	710
Xiao‐Wen Zhao China	13	359 0.7×	173 0.7×	294 1.7×	71 0.8×	65 0.8×	45	670
Jiqiang Feng China	14	447 0.9×	138 0.5×	222 1.3×	60 0.7×	98 1.2×	42	604
Chengjie Xu China	16	574 1.2×	300 1.1×	296 1.7×	196 2.3×	65 0.8×	42	872
Bangxin Jiang China	12	534 1.1×	330 1.3×	278 1.6×	53 0.6×	54 0.7×	26	723
Nima Monshizadeh Netherlands	16	423 0.9×	474 1.8×	114 0.7×	229 2.7×	54 0.7×	58	826
Xin‐Ming Cheng China	12	271 0.6×	167 0.6×	105 0.6×	55 0.6×	43 0.5×	34	453
Ticao Jiao China	16	227 0.5×	485 1.9×	88 0.5×	72 0.8×	64 0.8×	62	652

Countries citing papers authored by Chengdong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chengdong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengdong Yang

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

All Works

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20 of 20 papers shown

Yang, Chengdong, et al.. (2025). FLAG: Fraud Detection with LLM-enhanced Graph Neural Network. 5150–5160.

Yang, Chengdong, et al.. (2024). Consensus of Fractional-Order Multi-Agent Systems via Observer-Based Boundary Control. IEEE Transactions on Network Science and Engineering. 11(4). 3370–3382. 9 indexed citations

Xu, Yan, et al.. (2024). Consensus of multi‐agent system with reaction‐diffusion terms and time delays via output‐feedback adaptive boundary control. International Journal of Adaptive Control and Signal Processing. 38(10). 3361–3380. 2 indexed citations

Yang, Chengdong, et al.. (2024). Boundary containment control of multi-agent systems with time-invariant and time-varying delays. Journal of the Franklin Institute. 361(11). 106923–106923. 4 indexed citations

Qi, Qingwen, et al.. (2023). Adaptive Fault-Tolerant Control for Consensus of Nonlinear Fractional-Order Multi-Agent Systems with Diffusion. Fractal and Fractional. 7(10). 760–760. 25 indexed citations

Yang, Chengdong, et al.. (2023). Boundary control for synchronization of fractional-order complex spatiotemporal networks based on PDEs with multiple delays and its application in image encryption. Journal of the Franklin Institute. 360(7). 5267–5291. 8 indexed citations

Li, Kun, et al.. (2023). Boundary Control Strategies for Consensus of Fractional-Order Multi-Agent Systems Based on Coupling PDE-ODEs. IEEE Transactions on Circuits & Systems II Express Briefs. 71(4). 2179–2183. 8 indexed citations

Yang, Chengdong, et al.. (2022). Leaderless Consensus of Semilinear Hyperbolic Multiagent Systems with Semipositive or Seminegative Definite Convection. Discrete Dynamics in Nature and Society. 2022(1). 1 indexed citations

Yang, Chengdong, et al.. (2022). Synchronization of Nonlinear Complex Spatiotemporal Networks Based on PIDEs with Multiple Time Delays: A P-sD Method. Mathematics. 10(3). 509–509. 4 indexed citations

10.

Li, Zhenxing, et al.. (2022). Event-Triggered Consensus Control of Nonlinear Strict Feedback Multi-Agent Systems. Mathematics. 10(9). 1596–1596. 4 indexed citations

11.

Xu, Yan, et al.. (2022). Leaderless Consensus Control of Nonlinear PIDE-Type Multi-Agent Systems With Time Delays. IEEE Access. 10. 21211–21218. 5 indexed citations

12.

Zhao, Bin, et al.. (2022). Boundary Coupling for Consensus of Nonlinear Leaderless Stochastic Multi-Agent Systems Based on PDE-ODEs. Mathematics. 10(21). 4111–4111. 2 indexed citations

13.

Yang, Chengdong, et al.. (2021). Passivity Analysis of Coupled Stochastic Neural Networks with Multiweights. Discrete Dynamics in Nature and Society. 2021. 1–17. 1 indexed citations

14.

Liang, Feng, Juan Yu, Cheng Hu, Chengdong Yang, & Haijun Jiang. (2020). Nonseparation Method-Based Finite/Fixed-Time Synchronization of Fully Complex-Valued Discontinuous Neural Networks. IEEE Transactions on Cybernetics. 51(6). 3212–3223. 89 indexed citations

15.

Zhang, Jianbao, Wenyin Zhang, Chengdong Yang, et al.. (2018). Parameter Identification and Adaptive Control of Uncertain Goodwin Oscillator Networks with Disturbances. Complexity. 2018(1). 3 indexed citations

16.

Yang, Chengdong, Tingwen Huang, Zhenxing Li, et al.. (2018). Boundary Control for Exponential Stabilization of Nonlinear Distributed Parameter Systems Modeled by PIDEs. IEEE Access. 6. 47889–47896. 5 indexed citations

17.

Yang, Chengdong, Tingwen Huang, Ancai Zhang, et al.. (2018). Synchronization for Nonlinear Complex Spatio-Temporal Networks with Multiple Time-Invariant Delays and Multiple Time-Varying Delays. Neural Processing Letters. 50(2). 1051–1064. 13 indexed citations

18.

Yang, Chengdong, Haibo He, Tingwen Huang, et al.. (2017). Consensus for non‐linear multi‐agent systems modelled by PDEs based on spatial boundary communication. IET Control Theory and Applications. 11(17). 3196–3200. 44 indexed citations

19.

Yang, Chengdong, Jianlong Qiu, & Haibo He. (2014). Exponential synchronization for a class of complex spatio-temporal networks with space-varying coefficients. Neurocomputing. 151. 401–407. 31 indexed citations

20.

Zhang, Ancai, et al.. (2014). Dynamic analysis of periodic solution for high-order discrete-time Cohen–Grossberg neural networks with time delays. Neural Networks. 61. 68–74. 16 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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