Recurrence plots and recurrence quantification analysis have become popular in the last two decades. Recurrence based methods have on the one hand a deep foundation in the theory of dynamical systems and are on the other hand powerful tools for the investigation of a variety of problems. The increasing interest encompasses the growing risk of misuse and uncritical application of these methods. Therefore, we point out potential problems and pitfalls related to different aspects of the application of recurrence plots and recurrence quantification analysis.
Leveraging temporal features of the divergence quantifier of recurrence plot to detect chaos in conservative systems
Université de Toulon, Aix Marseille Univ, CNRS, CPT（土伦大学，艾克斯-马赛大学，法国国家科学研究中心，理论物理中心）；Institute of Physics and Astronomy, Eötvös University（罗兰大学物理与天文学研究所）
Deep learning for classifying dynamical states from time series via recurrence plots
Indian Institute of Science Education and Research (IISER), Pune（印度科学教育研究所（IISER），浦那）；Indian Institute of Science Education and Research (IISER), Thiruvananthapuram（印度科学教育研究所（IISER），特里凡得琅）
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association（波茨坦气候影响研究所（PIK），莱布尼茨协会成员）；University of Potsdam, Institute of Geoscience（波茨坦大学，地球科学研究所）；University of Potsdam, Institute of Physics and Astronomy（波茨坦大学，物理与天文学研究所）
