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Paun, G., & Pérez-Jiménez M. J. (2006).  Selected papers devoted to Membrane Computing. Editorial.. Journal of Automata, Languages and Combinatorics. 11, 239.
Paun, G., Pazos-Sierra J., Martín-Vide C., & Rodríguez-Patón A. (2003).  Tissue P systems. Theoretical Computer Science. 296(2), 295-326.
Paun, A., & Paun G. (2007).  Small universal spiking neural P systems. Biosystems. 90(1), 48-60. Abstract
Paun, G., Mitrana V., & Martín-Vide C. (2004).  Formal languages and Applications. 620.
Paun, G. (2005).  Membrane Computing. Basic Ideas, Results, Applications . TAPS'05 Workshop on Theory and Application of Systems.
Paun, G., & Pérez-Jiménez M. J. (2012).  Towards bridging two cell-inspired models: P systems and R systems. Theoretical Computer Science. 429, 258-264. Abstract
Paun, G. (2008).  An introduction to membrane computing, after 10 years, by means of a (partial) glossary. Second International Meeting on Membrane Computing and Biologically Inspired Process Calculi.
Paun, G., Pérez-Jiménez M. J., & Rozenberg G. (2006).  Spike trains in spiking neural P systems.. International Journal of Foundations of Computer Science. 17(4), 975-1002. Abstract
Peña-Cantillana, F., Berciano A., Díaz-Pernil D., & Gutiérrez-Naranjo M. A. (2012).  Parallel Skeletonizing of Digital Imagery by Using Cellular Automata. (M. Ferri, P. Frosini, C. Landi, A. Cerri, B. Di-Fabio, Ed.).Lecture Notes in Computer Science. 7309 , 39-48.
Peña-Cantillana, F., Díaz-Pernil D., Christinal H. A., & Gutiérrez-Naranjo M. A. (2011).  Smoothing Problem in 2D Images with Tissue-like P Systems and Parallel Implementation. Ninth Brainstorming Week on Membrane Computing. 317-328. Abstract
Peña-Cantillana, F., Díaz-Pernil D., Christinal H. A., & Gutiérrez-Naranjo M. A. (2011).  Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems. International Journal of Natural Computing Research. 2(3), 25-34. Abstract
Peña-Cantillana, F., Díaz-Pernil D., Berciano A., & Gutiérrez-Naranjo M. A. (2011).  A Parallel Implementation of the Thresholding Problem by Using Tissue-Like P Systems. Lecture Notes in Computer Science. 6855 , 277-284.
Peña-Cantillana, F., Berciano A., Díaz-Pernil D., & Gutiérrez-Naranjo M. A. (2012).  Parallel Skeletonizing of Digital Imagery by Using Cellular Automata. Lecture Notes in Computer Science. 7309 , 39-48.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  The framework of P systems applied to solve optimal watermarking problem. Signal Processing. 101, 256-265.
Peng, H., Wang J., Pérez-Jiménez M. J., Riscos-Núñez A., Xiao J., & Zhang G. (2015).  Decision Tree Models Induced by Membrane Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 107-116.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2019).  Dynamic threshold neural P systems. Knowledge-Based Systems. 163, 875-884.
Peng, H., Shao J., Li B., Wang J., Pérez-Jiménez M. J., Jiang Y., et al. (2012).  Image Thresholding with Cell-like P Systems. Tenth Brainstorming Week on Membrane Computing. II, 75-88. Abstract
Peng, H., Lv Z., Li B., Luo X., Wang J., Song X., et al. (2020).  Nonlinear Spiking Neural P Systems. International Journal of Neural Systems. 30(10), 2050008.
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2017).  Fault diagnosis of power systems using fuzzy tissue-like P systems. Integrated Computer-Aided Engineering. vol. 24, no. 4, 401-411.
Peng, H., Li B., Wang J., Song X., Wang T., Valencia-Cabrera L., et al. (2020).  Spiking neural P systems with inhibitory rules. Knowledge-Based Systems. 188, 105064. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An unsupervised learning algorithm for membrane computing. Information Sciences. 304, 80–91.
Peng, H., Wang J., Pérez-Jiménez M. J., Wang H., Shao J., & Wang T. (2013).  Fuzzy reasoning spiking neural P system for fault diagnosis. Information Sciences. 235, 106–116. Abstract
Peng, H., Wang J., Ming J., Shi P., Pérez-Jiménez M. J., Yu W., et al. (2018).  Fault diagnosis of power systems using intuitionistic fuzzy spiking neural P systems. IEEE Transactions on Smart Grid.
Peng, H., Shi P., Wang J., Riscos-Núñez A., & Pérez-Jiménez M. J. (2017).  Multiobjective fuzzy clustering approach based on tissue-like membrane systems. Knowledge-Based Systems. 125, 74-82.
Peng, H., Wang J., & Pérez-Jiménez M. J. (2015).   Optimal multi-level thresholding with membrane computing. Digital Signal Processing. 37, 53–64.

Statistics

  • Books (11)
  • Edited Books (28)
  • Contributions to Book Chapters (42)
  • Journal Papers (421)
  • Papers in Collective Volumes (0)
  • Technical Reports (3)
  • Conference Contributions (289)
  • Conference Proceedings (38)