53 citations as recorded by crossref.

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12. Recurrence network analysis in a model tripartite quantum system P. Laha et al. 10.1209/0295-5075/125/60005
13. The reliability of recurrence network analysis is influenced by the observability properties of the recorded time series L. Portes et al. 10.1063/1.5093197
14. Recurrence network analysis exploring the routes to thermoacoustic instability in a Rijke tube with inverse diffusion flame A. Bhattacharya et al. 10.1063/5.0026943
15. Study of system dynamics through recurrence analysis of regular windows A. Rysak & M. Gregorczyk 10.1063/5.0036505
16. Cross over of recurrence networks to random graphs and random geometric graphs R. JACOB et al. 10.1007/s12043-016-1339-y
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18. Network correlation between investor’s herding behavior and overconfidence behavior* M. Zhang & Y. Wang 10.1088/1674-1056/ab7740
19. A non-destructive dropped fruit impact signal imaging-based deep learning approach for smart sorting of kiwifruit Y. Yang et al. 10.1016/j.compag.2022.107380
20. Characterizing the signature of flame flashback precursor through recurrence analysis L. Christodoulou et al. 10.1063/1.4940154
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25. Early detection of lean blowout in a combustor using symbolic analysis of colour images S. De et al. 10.1016/j.measurement.2021.110113
26. How to Compute Suitable Vicinity Parameter and Sampling Time of Recurrence Analysis T. Prado et al. 10.2139/ssrn.4111917
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28. Detection of changes in the dynamics of thermonuclear plasmas to improve the prediction of disruptions T. Craciunescu & A. Murari 10.1007/s11071-022-08009-x
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32. Detection of unstable periodic orbits in mineralising geological systems S. Oberst et al. 10.1063/1.5024134
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34. Transformation cost spectrum for irregularly sampled time series C. Ozdes & D. Eroglu 10.1140/epjs/s11734-022-00512-x
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36. Application of recurrence quantification analysis for early detection of lean blowout in a swirl-stabilized dump combustor S. De et al. 10.1063/1.5131231
37. Network structure entropy and its dynamical evolution for recurrence networks from earthquake magnitude time series M. Lin et al. 10.1140/epjb/e2016-70004-0
38. Analyzing long-term correlated stochastic processes by means of recurrence networks: Potentials and pitfalls Y. Zou et al. 10.1103/PhysRevE.91.022926
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41. A Recurrence Network Approach for Characterization and Detection of Dynamical Transitions During Human Speech Production G. Lal et al. 10.1007/s00034-022-02103-6
42. Early detection of lean blowout using recurrence network for varying degrees of premixedness A. Bhattacharya et al. 10.1063/5.0077436
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44. Time-Series and Network Analysis in Quantum Dynamics: Comparison with Classical Dynamics P. Laha et al. 10.1007/s10773-020-04610-1
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47. Complex Network Methods for Plastic Deformation Dynamics in Metals A. Kiv et al. 10.3390/dynamics3010004
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50. Mapping and discrimination of networks in the complexity-entropy plane M. Wiedermann et al. 10.1103/PhysRevE.96.042304
51. Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed S. George et al. 10.1038/s41598-021-92890-w
52. Recurrence network modeling and analysis of spatial data C. Chen et al. 10.1063/1.5024917
53. Deep RP-CNN for Burst Signal Detection in Cognitive Radios D. Seo & H. Nam 10.1109/ACCESS.2020.3023262