Shiju Yang

635 total citations
27 papers, 524 citations indexed

About

Shiju Yang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Shiju Yang has authored 27 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 13 papers in Statistical and Nonlinear Physics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Shiju Yang's work include Neural Networks Stability and Synchronization (21 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and stochastic dynamics and bifurcation (10 papers). Shiju Yang is often cited by papers focused on Neural Networks Stability and Synchronization (21 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and stochastic dynamics and bifurcation (10 papers). Shiju Yang collaborates with scholars based in China, Qatar and Saudi Arabia. Shiju Yang's co-authors include Chuandong Li, Tingwen Huang, Xinsong Yang, Wanli Zhang, Wanli Zhang, Wei Zhang, Ahmed Alsaedi, Yu Li, Ting Yang and Meng Yang and has published in prestigious journals such as Chemical Engineering Journal, Chemosphere and Applied Surface Science.

In The Last Decade

Shiju Yang

25 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiju Yang China 13 454 246 159 80 61 27 524
Arumugam Parivallal India 12 268 0.6× 19 0.1× 47 0.3× 197 2.5× 26 0.4× 25 360
Yaqi Wang China 4 271 0.6× 71 0.3× 62 0.4× 106 1.3× 24 0.4× 8 303
Jackeline Abad Torres United States 9 136 0.3× 52 0.2× 55 0.3× 92 1.1× 18 0.3× 41 250
Volodymyr Lynnyk Czechia 11 217 0.5× 171 0.7× 15 0.1× 40 0.5× 20 0.3× 44 302
Shuming Zhou China 10 207 0.5× 34 0.1× 91 0.6× 12 0.1× 13 0.2× 44 250
M.H. Azadmanesh United States 7 203 0.4× 13 0.1× 40 0.3× 32 0.4× 17 0.3× 13 244
Nancy S. Soliman Egypt 7 31 0.1× 121 0.5× 116 0.7× 35 0.4× 33 0.5× 9 259
K. Wendy Tang United States 10 244 0.5× 29 0.1× 102 0.6× 3 0.0× 11 0.2× 41 308

Countries citing papers authored by Shiju Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shiju Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiju Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiju Yang. A scholar is included among the top collaborators of Shiju 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 Shiju Yang. Shiju 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.
2.
Yang, Shiju, et al.. (2024). Revealing the boosting roles of sulfate groups on NOx selective catalytic reduction over V2O5/CeO2 catalyst. Applied Surface Science. 672. 160872–160872. 3 indexed citations
3.
Yang, Meng, Shiju Yang, Yongjun Liu, et al.. (2024). Facilitating CO2 methanation over oxygen vacancy-rich Ni/CeO2: Insights into the synergistic effect between oxygen vacancy and metal-support interaction. Chemical Engineering Journal. 499. 156493–156493. 25 indexed citations
4.
Yang, Shiju, et al.. (2022). Fast fixed-time impulsive bipartite synchronization of TS fuzzy complex networks with signed graphs. Nonlinear Analysis Hybrid Systems. 48. 101325–101325. 19 indexed citations
5.
Yang, Shiju, et al.. (2022). Fast Bipartite Synchronization of Complex Networks with Signed Graph Based on TS Fuzzy System by Fixed-Time Technique. Journal of Circuits Systems and Computers. 32(7). 1 indexed citations
6.
Yang, Shiju, et al.. (2022). Variable-time impulsive control for bipartite synchronization of coupled complex networks with signed graphs. Applied Mathematics and Computation. 420. 126899–126899. 12 indexed citations
7.
Li, Yu, et al.. (2021). Stochastic Resonance Effect in Optimal Decision Solution Under Neyman–Pearson Criterion. Circuits Systems and Signal Processing. 40(7). 3286–3304. 2 indexed citations
8.
Liu, Shujun, et al.. (2021). Stochastic resonance benefits in signal detection under MAP criterion. Communications in Nonlinear Science and Numerical Simulation. 102. 105919–105919. 2 indexed citations
9.
Yang, Benqin, Shiju Yang, Xing Wan, et al.. (2019). Temperature models for quantifying groundwater seepage flux applied in a deep lake of a plateau: Yangzonghai Lake, Yunnan, China. Chemosphere. 238. 124674–124674. 4 indexed citations
10.
Zhang, Wanli, et al.. (2019). Finite-Time and Fixed-Time Synchronization of Complex Networks with Discontinuous Nodes via Quantized Control. Neural Processing Letters. 50(3). 2073–2086. 30 indexed citations
11.
Zhang, Wanli, Shiju Yang, Chuandong Li, Wei Zhang, & Xinsong Yang. (2018). Stochastic exponential synchronization of memristive neural networks with time-varying delays via quantized control. Neural Networks. 104. 93–103. 50 indexed citations
12.
Yang, Shiju, Chuandong Li, & Tingwen Huang. (2018). State‐dependent impulsive synchronisation of complex dynamical networks with non‐linear coupling. IET Control Theory and Applications. 12(9). 1189–1200. 12 indexed citations
13.
Zhang, Wanli, Chuandong Li, Shiju Yang, & Xinsong Yang. (2018). Synchronization criteria for neural networks with proportional delays via quantized control. Nonlinear Dynamics. 94(1). 541–551. 36 indexed citations
14.
Zhang, Wanli, Shiju Yang, Chuandong Li, & Hongfei Li. (2018). Finite-time synchronization of delayed memristive neural networks via 1-norm-based analytical approach. Neural Computing and Applications. 32(9). 4951–4960. 8 indexed citations
15.
Zhang, Wanli, Chuandong Li, Shiju Yang, & Xinsong Yang. (2018). Exponential synchronisation of complex networks with delays and perturbations via impulsive and adaptive control. IET Control Theory and Applications. 13(3). 395–402. 19 indexed citations
16.
Yang, Shiju, Chuandong Li, Tingwen Huang, & Wanli Zhang. (2018). Fixed-time consensus of complex dynamical networks with nonlinear coupling and fuzzy state-dependent uncertainties. Fuzzy Sets and Systems. 365. 81–97. 19 indexed citations
17.
Yang, Shiju, Chuandong Li, & Tingwen Huang. (2016). Finite-time stabilization of uncertain neural networks with distributed time-varying delays. Neural Computing and Applications. 28(S1). 1155–1163. 14 indexed citations
18.
Yang, Shiju, Chuandong Li, & Tingwen Huang. (2016). Impulsive synchronization for TS fuzzy model of memristor-based chaotic systems with parameter mismatches. International Journal of Control Automation and Systems. 14(3). 854–864. 18 indexed citations
19.
Yang, Shiju, Chuandong Li, & Tingwen Huang. (2015). Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control. Neural Networks. 75. 162–172. 143 indexed citations
20.
Yang, Shiju, Chuandong Li, & Tingwen Huang. (2014). Impulsive Control and Synchronization of Memristor-Based Chaotic Circuits. International Journal of Bifurcation and Chaos. 24(12). 1450162–1450162. 29 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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