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Journal Papers
Freund, R., Paun G., & Pérez-Jiménez M. J. (2005).  Tissue-like P systems with channel-states. Theoretical Computer Science. 330(1), 101-116. Abstract
Csuhaj-Varjú, E., Paun G., & Vaszil G. (2008).  Tissue-like P systems with dynamically emerging requests. International Journal of Foundations of Computer Science. 19(3), 729-745. Abstract
Amos, M., Paun G., Rozenberg G., & Salomaa A. (2002).  Topics in the theory of DNA computing. Theoretical Computer Science. 287(1), 3 - 38 . Abstract
Amos, M., Paun G., Rozenberg G., & Salomaa A. (2002).  Topics in the theory of DNA computing. Theoretical Computer Science. 287(1), 3 - 38 . Abstract
Andreu-Guzmán, J. A., & Valencia-Cabrera L. (2018).  Towards a General Framework for Membrane Algorithms. Bulletin of the International Membrane Computing Society. 5, 91-96.
Bianco, L., Pescini D., Siepmann P., Krasnogor N., Romero-Campero F. J., & Gheorghe M. (2006).  Towards a P Systems Pseudomonas Quorum Sensing Model . Lecture Notes in Computer Science. 4361, 197-214. Abstract
Gutiérrez-Naranjo, M. A., Pérez-Jiménez M. J., & Riscos-Núñez A. (2005).  Towards a programming language in cellular computing. Electronic Notes in Theoretical Computer Science. 123, 93-110. Abstract
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. (2012).  Towards Fypercomputations (in Membrane Computing). Lecture Notes in Computer Science. 7300, 207-220. Abstract
Romero-Campero, F. J., Gheorghe M., Bianco L., Pescini D., Pérez-Jiménez M. J., & Ceterchi R. (2006).  Towards probabilistic model checking on P systems using PRISM. Lecture Notes in Computer Science. 4361, 477-495. Abstract
Pérez-Jiménez, M. J., & Romero-Campero F. J. (2005).  Trading polarizations for bi-stable catalysts in P systems with active membranes. Lecture Notes in Computer Science. 3365, 373-388. Abstract
Alhazov, A., Pan L., & Paun G. (2004).  Trading polarizations for labels in P systems with active membranes . Acta Informatica. 41(2-3), 111-144. Abstract
Ionescu, M., Martín-Vide C., Paun A., & Paun G. (2003).  Unexpected Universality Results for Three Classes of P Systems with Symport/Antiport. Lecture Notes in Computer Science. 2568, 281-290. Abstract
Díaz-Pernil, D., Gutiérrez-Naranjo M. A., Pérez-Jiménez M. J., & Riscos-Núñez A. (2008).  A uniform family of tissue P systems with cell division solving 3-COL in a linear time. Theoretical Computer Science. 404(1-2), 76-87. Abstract
Alhazov, A., & Pérez-Jiménez M. J. (2007).  Uniform Solution of QSAT using polarizationless active membranes. Lecture Notes in Computer Science. 4664, 122-133. Abstract
Leporati, A., Mauri G., Zandron C., Paun G., & Pérez-Jiménez M. J. (2009).  Uniform solutions to SAT and Subset Sum by spiking neural P systems. Natural Computing. 8(4), 681-702. Abstract
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2018).  The unique satisfiability problem from a membrane computing perspective. Romanian Journal of Information Science and Technology. 21(3), 288-297.
Cardelli, L., & Paun G. (2006).  An universality result for a (mem)brane calculus based on mate/drip operations. International Journal of Foundations of Computer Science. 17, 49-68.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An unsupervised learning algorithm for membrane computing. Information Sciences. 304, 80–91.
Graciani-Díaz, C., & Pérez-Jiménez M. J. (2005).  Using automated reasoning systems on molecular computing. Lecture Notes in Computer Science. 3384, 128-137. Abstract
Christinal, H. A., Díaz-Pernil D., Gutiérrez-Naranjo M. A., & Real P. (2012).  Using Membrane Computing for Effective Homology. Applicable Algebra in Engineering, Communication and Computing. 23(5-6), 233-249. Abstract
Ramírez-de-Arellano, A., Orellana-Martín D., & Pérez-Jiménez M. J. (2023).  Using Virus Machines to Compute Pairing Functions. International Journal of Neural Systems. 33, 2350023. Abstract
Pérez-Jiménez, M. J., & Sancho-Caparrini F. (2002).  Verifying a P system generating squares. Romanian Journal of Information Science and Technology. 5(1-2), 181-191.
Wang, T., Wei X., Wang J., Huang T., Peng H., Song X., et al. (2020).  A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies. Engineering Applications of Artificial Intelligence. 92, 103680. Abstract
Wang, T., Zhang G., Pérez-Jiménez M. J., & Cheng J. (2015).  Weighted Fuzzy Reasoning Spiking Neural P Systems: Application to Fault Diagnosis in Traction Power Supply Systems of High-Speed Railways. Journal of Computational and Theoretical Nanoscience. 12(7), 1003-1114. Abstract