Yanjun Shu

475 total citations
24 papers, 388 citations indexed

About

Yanjun Shu is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Yanjun Shu has authored 24 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 13 papers in Computer Networks and Communications and 4 papers in Computational Theory and Mathematics. Recurrent topics in Yanjun Shu's work include Neural Networks Stability and Synchronization (13 papers), Stability and Control of Uncertain Systems (11 papers) and Adaptive Control of Nonlinear Systems (7 papers). Yanjun Shu is often cited by papers focused on Neural Networks Stability and Synchronization (13 papers), Stability and Control of Uncertain Systems (11 papers) and Adaptive Control of Nonlinear Systems (7 papers). Yanjun Shu collaborates with scholars based in China, South Korea and Kuwait. Yanjun Shu's co-authors include Yajuan Liu, Ju H. Park, Bao‐Zhu Guo, Xinge Liu, Mei-Lan Tang, Yuangong Sun, Jian Liu, Shuo Tang, Shuo Tang and Hosam M. F. AboElFotoh and has published in prestigious journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Neurocomputing.

In The Last Decade

Yanjun Shu

23 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjun Shu China 9 271 256 83 74 74 24 388
Zhaoxia Duan China 16 234 0.9× 509 2.0× 50 0.6× 68 0.9× 41 0.6× 50 596
Ramalingam Sakthivel India 14 317 1.2× 252 1.0× 85 1.0× 56 0.8× 39 0.5× 32 451
Zhengguo Huang China 10 306 1.1× 404 1.6× 58 0.7× 48 0.6× 79 1.1× 15 519
Ramasamy Kavikumar South Korea 13 183 0.7× 316 1.2× 45 0.5× 102 1.4× 37 0.5× 28 393
Chunsong Han China 10 257 0.9× 385 1.5× 46 0.6× 93 1.3× 27 0.4× 29 468
Jianjiang Yu China 12 296 1.1× 169 0.7× 108 1.3× 105 1.4× 66 0.9× 37 415
Nannan Rong China 11 342 1.3× 231 0.9× 115 1.4× 83 1.1× 136 1.8× 21 460
Mingcheng Dai China 6 291 1.1× 315 1.2× 56 0.7× 51 0.7× 49 0.7× 12 434
Imran Ghous Pakistan 15 167 0.6× 436 1.7× 35 0.4× 36 0.5× 43 0.6× 37 498
Xiaoming Chen China 14 344 1.3× 661 2.6× 50 0.6× 73 1.0× 42 0.6× 33 719

Countries citing papers authored by Yanjun Shu

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjun Shu. A scholar is included among the top collaborators of Yanjun Shu 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 Yanjun Shu. Yanjun Shu 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.
Liu, Jian, et al.. (2025). Synchronization of the memristor-coupled memristive complex-valued FHN neurons. The European Physical Journal Plus. 140(9).
2.
Liu, Jian, et al.. (2024). Observer-based secure synchronization control of directed complex-valued dynamical networks under link attacks. Nonlinear Dynamics. 112(14). 12303–12318. 7 indexed citations
3.
Shu, Yanjun. (2023). BLF-based neural dynamic surface control for stochastic nonlinear systems with time delays and full-state constraints. International Journal of Control. 97(5). 982–998. 6 indexed citations
4.
Shu, Yanjun. (2023). Neural dynamic surface control for stochastic nonlinear systems with unknown control directions and unmodelled dynamics. IET Control Theory and Applications. 17(6). 649–661. 5 indexed citations
5.
Yahyaoui, Hamdi, Hosam M. F. AboElFotoh, & Yanjun Shu. (2022). A partial order framework for incomplete data clustering. Applied Intelligence. 53(7). 7439–7454. 1 indexed citations
6.
Shu, Yanjun, et al.. (2019). Robust neural tracking control for switched nonaffine stochastic nonlinear systems with unknown control directions and backlash-like hysteresis. Journal of the Franklin Institute. 357(5). 2791–2812. 16 indexed citations
7.
Shu, Yanjun, et al.. (2017). Dissipativity analysis for generalized neural networks with Markovian jump parameters and time-varying delay. Nonlinear Dynamics. 89(3). 2125–2140. 19 indexed citations
8.
Liu, Yajuan, Ju H. Park, Bao‐Zhu Guo, & Yanjun Shu. (2017). Further Results on Stabilization of Chaotic Systems Based on Fuzzy Memory Sampled-Data Control. IEEE Transactions on Fuzzy Systems. 26(2). 1040–1045. 201 indexed citations
9.
Shu, Yanjun, et al.. (2017). Further results on exponential stability of discrete‐time BAM neural networks with time‐varying delays. Mathematical Methods in the Applied Sciences. 40(11). 4014–4027. 11 indexed citations
10.
Liu, Xinge, et al.. (2016). A novel summation inequality for stability analysis of discrete-time neural networks. Journal of Computational and Applied Mathematics. 304. 160–171. 22 indexed citations
11.
Liu, Xinge, et al.. (2016). A study on state estimation for discrete-time recurrent neural networks with leakage delay and time-varying delay. Advances in Difference Equations. 2016(1). 4 indexed citations
12.
Shu, Yanjun, et al.. (2016). Exponential input-to-state stability of stochastic neural networks with mixed delays. International Journal of Machine Learning and Cybernetics. 9(5). 807–819. 15 indexed citations
13.
Liu, Xinge, et al.. (2016). Robust stability analysis for uncertain recurrent neural networks with leakage delay based on delay-partitioning approach. Neural Computing and Applications. 30(1). 211–222. 8 indexed citations
14.
Shu, Yanjun, Xinge Liu, Yajuan Liu, & Ju H. Park. (2016). Improved Results on Guaranteed Generalized $${\mathcal {H}}_{2}$$ H 2 Performance State Estimation for Delayed Static Neural Networks. Circuits Systems and Signal Processing. 36(8). 3114–3142. 3 indexed citations
15.
Liu, Xinge, et al.. (2016). Stability analysis of discrete-time systems with variable delays via some new summation inequalities. Advances in Difference Equations. 2016(1). 12 indexed citations
16.
Liu, Xinge, et al.. (2015). New approach to state estimator for discrete-time BAM neural networks with time-varying delay. Advances in Difference Equations. 2015(1). 9 indexed citations
17.
Liu, Xinge, et al.. (2015). Asymptotical stability for a class of discrete systems with variable delay. 151. 566–571. 1 indexed citations
18.
Shu, Yanjun, Xinge Liu, & Yajuan Liu. (2015). Stability and passivity analysis for uncertain discrete-time neural networks with time-varying delay. Neurocomputing. 173. 1706–1714. 30 indexed citations
19.
20.
Shu, Yanjun. (2008). Stability and stabilization of nonuniform sampling systems.. Dialnet (Universidad de la Rioja). 44(12). 3222–3226. 1 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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