K. Subramanian

667 total citations
29 papers, 520 citations indexed

About

K. Subramanian is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, K. Subramanian has authored 29 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 18 papers in Computer Networks and Communications and 9 papers in Electrical and Electronic Engineering. Recurrent topics in K. Subramanian's work include Neural Networks Stability and Synchronization (17 papers), Stability and Control of Uncertain Systems (15 papers) and Frequency Control in Power Systems (8 papers). K. Subramanian is often cited by papers focused on Neural Networks Stability and Synchronization (17 papers), Stability and Control of Uncertain Systems (15 papers) and Frequency Control in Power Systems (8 papers). K. Subramanian collaborates with scholars based in South Korea, India and Australia. K. Subramanian's co-authors include Young Hoon Joo, P. Muthukumar, Han Sol Kim, S. Lakshmanan, Hieu Trinh, Samson S. Yu, Quanxin Zhu, Peng Shi, Tae-Hee Lee and Mohammed Chadli and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

K. Subramanian

27 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Subramanian South Korea 13 342 266 188 134 62 29 520
Mengshen Chen China 12 529 1.5× 482 1.8× 102 0.5× 73 0.5× 51 0.8× 23 689
Hui-Qin Xiao China 9 210 0.6× 200 0.8× 117 0.6× 66 0.5× 71 1.1× 16 338
Yufeng Tian China 15 499 1.5× 427 1.6× 160 0.9× 101 0.8× 56 0.9× 48 657
Zhengguo Huang China 10 404 1.2× 306 1.2× 79 0.4× 48 0.4× 58 0.9× 15 519
Ramasamy Kavikumar South Korea 13 316 0.9× 183 0.7× 37 0.2× 102 0.8× 45 0.7× 28 393
Fengqi Yao China 16 453 1.3× 369 1.4× 66 0.4× 49 0.4× 137 2.2× 40 621
Jianjiang Yu China 12 169 0.5× 296 1.1× 66 0.4× 105 0.8× 108 1.7× 37 415
Jin Bae Park South Korea 10 377 1.1× 139 0.5× 61 0.3× 120 0.9× 52 0.8× 17 451
Zhaoxia Duan China 16 509 1.5× 234 0.9× 41 0.2× 68 0.5× 50 0.8× 50 596
Ziye Zhang China 11 287 0.8× 315 1.2× 109 0.6× 121 0.9× 91 1.5× 18 533

Countries citing papers authored by K. Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by K. Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of K. Subramanian. A scholar is included among the top collaborators of K. Subramanian 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 K. Subramanian. K. Subramanian 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.
Subramanian, K., Samson S. Yu, Hieu Trinh, & Peng Shi. (2024). Stabilization of Interval Type-2 T–S Fuzzy Systems via Time-Dependent Memory Sampled-Data Control and Its Applications. IEEE Transactions on Fuzzy Systems. 32(11). 6439–6448. 4 indexed citations
2.
Subramanian, K., et al.. (2024). Switched sampled-data-based membership function-dependent H control for PMSG-based WTS with actuator failures. Mathematics and Computers in Simulation. 226. 560–577. 4 indexed citations
3.
Subramanian, K. & Young Hoon Joo. (2023). Stabilization of PMSG-based wind turbine systems with sampling information: Dynamic delay partition method. International Journal of Electrical Power & Energy Systems. 149. 109023–109023. 11 indexed citations
4.
Subramanian, K., et al.. (2022). Fuzzy membership function-dependent switched control for nonlinear systems with memory sampled-data information. Soft Computing. 26(18). 9035–9048. 2 indexed citations
5.
Subramanian, K. & Young Hoon Joo. (2022). Dynamic integral sliding mode control for interconnected delayed power systems. Journal of the Franklin Institute. 359(16). 8742–8757. 5 indexed citations
6.
Subramanian, K., et al.. (2022). Hidden Markov model based non-fragile sampled-data control design for mode-dependent fuzzy systems with actuator faults. Applied Mathematics and Computation. 435. 127454–127454. 7 indexed citations
7.
Subramanian, K. & Young Hoon Joo. (2022). Fuzzy‐dependent switched fault‐tolerant tracking control for permanent magnet synchronous generator‐based wind energy conversion system. International Journal of Adaptive Control and Signal Processing. 37(2). 399–413. 2 indexed citations
8.
Subramanian, K., Young Hoon Joo, & Han Sol Kim. (2021). Fault-tolerant load frequency control for DFIG-based interconnected wind power systems. Information Sciences. 582. 73–88. 22 indexed citations
9.
Subramanian, K. & Young Hoon Joo. (2021). Resilient Reliable Hθ Load Frequency Control of Power System With Random Gain Fluctuations. IEEE Transactions on Systems Man and Cybernetics Systems. 52(4). 2324–2332. 17 indexed citations
10.
Subramanian, K., Young Hoon Joo, & Han Sol Kim. (2021). Asynchronous Control for Discrete-Time Hidden Markov Jump Power Systems. IEEE Transactions on Cybernetics. 52(9). 9943–9948. 76 indexed citations
11.
Subramanian, K., et al.. (2020). Stabilization of Flexible Spacecraft with Probabilistic Faults via Reliable Memory Sampled-data Control. IFAC-PapersOnLine. 53(1). 416–421.
12.
Subramanian, K., P. Muthukumar, & Hieu Trinh. (2020). Nonfragile sampled‐dataHcontrol design for high‐speed train with parametric uncertainties. International Journal of Robust and Nonlinear Control. 31(3). 1021–1034. 6 indexed citations
13.
Subramanian, K. & Young Hoon Joo. (2020). Stabilization of Interval Type-2 Fuzzy-Based Reliable Sampled-Data Control Systems. IEEE Transactions on Cybernetics. 52(2). 1312–1320. 47 indexed citations
14.
Subramanian, K. & Young Hoon Joo. (2019). Nonfragile Retarded Sampled-Data Switched Control of T–S Fuzzy Systems and Its Applications. IEEE Transactions on Fuzzy Systems. 28(10). 2523–2532. 39 indexed citations
15.
Subramanian, K. & Young Hoon Joo. (2019). Memory-Based Integral Sliding-Mode Control for T–S Fuzzy Systems With PMSM via Disturbance Observer. IEEE Transactions on Cybernetics. 51(5). 2457–2465. 68 indexed citations
16.
Subramanian, K. & P. Muthukumar. (2017). Global asymptotic stability of complex-valued neural networks with additive time-varying delays. Cognitive Neurodynamics. 11(3). 293–306. 34 indexed citations
17.
Subramanian, K., P. Muthukumar, & S. Lakshmanan. (2017). State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties. Applied Mathematics and Computation. 321. 267–281. 18 indexed citations
18.
Subramanian, K. & P. Muthukumar. (2016). Existence, uniqueness, and global asymptotic stability analysis for delayed complex-valued Cohen–Grossberg BAM neural networks. Neural Computing and Applications. 29(9). 565–584. 24 indexed citations
19.
Muthukumar, P., K. Subramanian, & S. Lakshmanan. (2016). Robust finite time stabilization analysis for uncertain neural networks with leakage delay and probabilistic time-varying delays. Journal of the Franklin Institute. 353(16). 4091–4113. 16 indexed citations
20.
Muthukumar, P. & K. Subramanian. (2016). Stability criteria for Markovian jump neural networks with mode-dependent additive time-varying delays via quadratic convex combination. Neurocomputing. 205. 75–83. 32 indexed citations

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