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2020
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
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
Orellana-Martín, D., Martínez-del-Amor M. A., Pérez-Hurtado I., Riscos-Núñez A., Valencia-Cabrera L., & Pérez-Jiménez M. J. (2020).  When object production tunes the efficiency of membrane systems. Theoretical Computer Science. 805, 218-231.
2019
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  P systems with proteins: a new frontier when membrane division disappears. Journal of Membrane Computing. 1, 29–39.
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  Minimal cooperation as a way to achieve the efficiency in cell-like membrane systems. Journal of Membrane Computing. 1, 85–92. Abstract
Pérez-Hurtado, I., Orellana-Martín D., Zhang G., & Pérez-Jiménez M. J. (2019).  P-Lingua in two steps: flexibility and efficiency. Journal of Membrane Computing. 1, 93–102.
Wang, T., Wei X., Huang T., Wang J., Valencia-Cabrera L., Fan Z., et al. (2019).  Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids. Complexity. 2019, 1-15.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2019).  Dynamic threshold neural P systems. Knowledge-Based Systems. 163, 875-884.
Pérez-Jiménez, M. J. (2019).   Computational complexity theory in Membrane Computing: Seventeen years after. 20th International Conference on Membrane Computing, CMC20. 191-206.
Pérez-Hurtado, I., Orellana-Martín D., Martínez-del-Amor M. A., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  11 years of P-Lingua: A backward glance. 20th International Conference on Membrane Computing, CMC20. 451-462.
Zang, T., Lei J., Wei X., Huang T., Wang T., Pérez-Jiménez M. J., et al. (2019).  Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches. IEEE Access. 7, 88927-88936. Abstract
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  An apparently innocent problem in Membrane Computing. Seventeenth Brainstorming Week on Membrane Computing,. 127-138.
Valencia-Cabrera, L., Orellana-Martín D., Pérez-Hurtado I., & Pérez-Jiménez M. J. (2019).  Dependency Graph Technique Revisited. 20th International Conference on Membrane Computing, CMC20. 513-522.
Martínez-del-Amor, M. A., Orellana-Martín D., Pérez-Hurtado I., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  Design of Specific P Systems Simulators on GPUs. (Thomas Hinze, Grzegorz Rozenberg, Arto Salomaa, Claudio Zandron, Ed.).Membrane Computing. 11399(2-3), 202–207. Abstract
Cámpora Pérez, D. H., Neufeld N., & Riscos-Núñez A. (2019).  A Fast Local Algorithm for Track Reconstruction on Parallel Architectures. 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Casauay, L. J., Macababayao I. C., Cabarle F. G., de la Cruz R. T., Adorna H. N., Zeng X., et al. (2019).  A Framework for Evolving Spiking Neural Systems. The 8th Asian Conference on Membrane Computing (ACMC2019).
Moredo, C. A., Supelana R. C., Cailipan D. P., Cabarle F. G., de la Cruz R. T., Adorna H. N., et al. (2019).  A Framework for Evolving Spiking Neural P Systems with Rules on Synapses. The 8th Asian Conference on Membrane Computing (ACMC2019).
Carandang, J. P., Cabarle F. G., Adorna H. N., Hernandez N. H. S., & Martínez-del-Amor M. A. (2019).  Handling Non-determinism in Spiking Neural P Systems: Algorithms and Simulations. Fundamenta Informaticae. 164, 139-155.
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., & Pérez-Jiménez M. J. (2019).  An interactive timeline of simulators in membrane computing. Journal of Membrane Computing. 1, 209–222.
Wang, J., Peng H., Yu W., Ming J., Pérez-Jiménez M. J., Tao C., et al. (2019).  Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks. Engineering Applications of Artificial Intelligence. 82, 102 - 109. Abstract
Wang, T., Wei X., Huang T., Wang J., Peng H., Pérez-Jiménez M. J., et al. (2019).  Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration. IEEE Access. 7, 12798-12808.
Valencia-Cabrera, L., Orellana-Martín D., Pérez-Hurtado I., & Pérez-Jiménez M. J. (2019).  New applications for an old tool. Seventeenth Brainstorming Week on Membrane Computing. 165-170.
Orellana-Martín, D., Valencia-Cabrera L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2019).  A new perspective on computational complexity theory in Membrane Computing. Seventeenth Brainstorming Week on Membrane Computing, . 117-125.
Aboy, B. C. D., Bariring E. J. A., Carandang J. P., Cabarle F. G. C., Cruz D. L. R. T., Adorna H. N., et al. (2019).  Optimizations in CuSNP simulator for Spiking Neural P Systems on CUDA GPUs. 2nd BICAS Special Session, 2019 High Performance Computing & Simulation (HPCS 2019). 535-542.
Alhazov, A., Freund R., Ivanov S., & Pérez-Jiménez M. J. (2019).  P Systems: From anti-matter to anti-rules. Seventeenth Brainstorming Week on Membrane Computing. 41-58.