Xin‐Ming Cheng

607 total citations
34 papers, 453 citations indexed

About

Xin‐Ming Cheng is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Xin‐Ming Cheng has authored 34 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 13 papers in Statistical and Nonlinear Physics and 11 papers in Control and Systems Engineering. Recurrent topics in Xin‐Ming Cheng's work include Neural Networks Stability and Synchronization (14 papers), Distributed Control Multi-Agent Systems (11 papers) and Opinion Dynamics and Social Influence (6 papers). Xin‐Ming Cheng is often cited by papers focused on Neural Networks Stability and Synchronization (14 papers), Distributed Control Multi-Agent Systems (11 papers) and Opinion Dynamics and Social Influence (6 papers). Xin‐Ming Cheng collaborates with scholars based in China, Australia and Canada. Xin‐Ming Cheng's co-authors include Zhi‐Hong Guan, Ming Chi, Dingxin He, Bin Hu, Zhao Zhang, Bin Hu, Honglei Xu, Jianbiao He, Ruiquan Liao and Guang Ling and has published in prestigious journals such as Automatica, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Xin‐Ming Cheng

31 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin‐Ming Cheng China	12	271	167	105	55	47	34	453
Yonghong Wu China	15	376 1.4×	158 0.9×	118 1.1×	35 0.6×	65 1.4×	31	485
Jiqiang Feng China	14	447 1.6×	138 0.8×	222 2.1×	60 1.1×	47 1.0×	42	604
Xuegang Tan China	13	654 2.4×	285 1.7×	180 1.7×	98 1.8×	44 0.9×	26	752
Xiao‐Wen Zhao China	13	359 1.3×	173 1.0×	294 2.8×	71 1.3×	31 0.7×	45	670
Guang Ling China	15	318 1.2×	241 1.4×	192 1.8×	32 0.6×	15 0.3×	47	610
Wanli Zhang China	13	457 1.7×	79 0.5×	155 1.5×	81 1.5×	8 0.2×	37	568
Ganesh Kumar Thakur India	10	200 0.7×	112 0.7×	51 0.5×	56 1.0×	12 0.3×	28	299
Bandana Priya India	10	205 0.8×	121 0.7×	58 0.6×	55 1.0×	10 0.2×	29	305
Jinling Liang China	5	356 1.3×	152 0.9×	140 1.3×	58 1.1×	14 0.3×	8	523

Countries citing papers authored by Xin‐Ming Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Xin‐Ming Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Ming Cheng. 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 Xin‐Ming Cheng. The network helps show where Xin‐Ming Cheng may publish in the future.

Co-authorship network of co-authors of Xin‐Ming Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Ming Cheng. A scholar is included among the top collaborators of Xin‐Ming Cheng 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 Xin‐Ming Cheng. Xin‐Ming Cheng 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

Cheng, Xin‐Ming, et al.. (2025). A Multi-Scale Feature Extraction and Attention Mechanism-Based Image Stitching Method. 120–126.

Zhang, Zhao, et al.. (2022). State bounding for time-delay impulsive and switching genetic regulatory networks with exogenous disturbance. Discrete and Continuous Dynamical Systems - S. 15(7). 1749–1749. 1 indexed citations

Hu, Bin, et al.. (2022). Design of distributed observer-based controllers for bipartite containment of discrete-time descriptor MASs over signed digraphs. International Journal of Control. 96(12). 3119–3131. 3 indexed citations

Hu, Bin, et al.. (2021). Collective Behaviors of Discrete-Time Multi-Agent Systems Over Signed Digraphs. IEEE Transactions on Network Science and Engineering. 8(4). 3099–3112. 13 indexed citations

Kong, Yu, et al.. (2021). Dynamics analysis of an online gambling spreading model on scale-free networks. Advances in Difference Equations. 2021(1).

Li, Tao, et al.. (2021). Spreading Dynamics of SHIPR Pyramid Scheme Model on Scale-Free Networks. IEEE Access. 9. 132064–132077.

Guan, Zhi‐Hong, et al.. (2021). Semi-global bipartite consensus tracking of singular multi-agent systems with input saturation. Neurocomputing. 432. 183–193. 8 indexed citations

Luo, Kai, Bin Hu, Zhi‐Hong Guan, et al.. (2020). Distributed coordination of multi-agent systems for neutralizing unknown threats based on a mixed coverage-tracking metric. Journal of the Franklin Institute. 357(17). 12700–12723. 5 indexed citations

Hu, Bin, et al.. (2019). Consensus Tracking Control of Uncertain Multiagent Systems With Sampled Data and Time-Varying Delay. IEEE Transactions on Cybernetics. 51(12). 5681–5691. 16 indexed citations

10.

Cheng, Xin‐Ming, et al.. (2019). Cv-CapsNet: Complex-Valued Capsule Network. IEEE Access. 7. 85492–85499. 39 indexed citations

11.

Hu, Bin, et al.. (2019). Controllability analysis of complex-valued impulsive systems with time-varying delays. Communications in Nonlinear Science and Numerical Simulation. 83. 105070–105070. 8 indexed citations

12.

Guan, Zhi‐Hong, et al.. (2015). Multi-consensus of multi-agent networks via a rectangular impulsive approach. Systems & Control Letters. 76. 28–34. 34 indexed citations

13.

Chen, Jie, Junwei Sun, Ming Chi, & Xin‐Ming Cheng. (2014). A Novel Scheme Adaptive Hybrid Dislocated Synchronization for Two Identical and Different Memristor Chaotic Oscillator Systems with Uncertain Parameters. Abstract and Applied Analysis. 2014. 1–10. 6 indexed citations

14.

Chi, Ming, Zhi‐Hong Guan, Xin‐Ming Cheng, & Fushun Yuan. (2014). Performance limitations for networked control systems with plant uncertainty. International Journal of Systems Science. 47(6). 1358–1365. 4 indexed citations

15.

Guan, Zhi‐Hong, Bin Hu, Ming Chi, Dingxin He, & Xin‐Ming Cheng. (2014). Guaranteed performance consensus in second-order multi-agent systems with hybrid impulsive control. Automatica. 50(9). 2415–2418. 116 indexed citations

16.

Tran, Hoang-Dung, et al.. (2013). A normalized PID controller in networked control systems with varying time delays. ISA Transactions. 52(5). 592–599. 26 indexed citations

17.

Guan, Zhi‐Hong, Qiang Lai, Ming Chi, Xin‐Ming Cheng, & Feng Liu. (2013). Analysis of a new three-dimensional system with multiple chaotic attractors. Nonlinear Dynamics. 75(1-2). 331–343. 36 indexed citations

18.

Cheng, Xin‐Ming, et al.. (2005). Robust reliable control for a class of time-varying uncertain impulsive systems. Journal of Central South University of Technology. 12(S1). 199–202. 3 indexed citations

19.

Cheng, Xin‐Ming, Zhi‐Hong Guan, & Xinzhi Liu. (2004). Decentralized impulsive control for a class of uncertain interconnected systems.. PubMed. 5(3). 274–82. 2 indexed citations

20.

Cheng, Xin‐Ming, Zhi‐Hong Guan, & Xinzhi Liu. (2004). Decentralized impulsive control for a class of uncertain interconnected systems. Journal of Zhejiang University SCIENCE A. 5(3). 274–282. 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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