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Wang, T., Zhang G., & Pérez-Jiménez M. J. (2014).  Fault Diagnosis Models for Electric Locomotive Systems Based on Fuzzy Reasoning Spiking Neural P Systems. 15th Conference on Membrane Computing, pre-proceedings. 361-374.
Wang, T., Wang J., Fan Z., Wei X., Zang T., Pérez-Jiménez M. J., et al. (2017).  Fault diagnosis for multi-energy flows of energy internet: Framework and prospect. 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). 1-5.
Wang, J., Hoogeboom H. J., Pan L., & Paun G. (2009).  Spiking neural P systems with weights and thresholds. (Gheorghe Paun, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez, Ed.).10th Workshop on Membrane Computing. 514-533. Abstract
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2015).  Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications and Control. 10(6), 904-935. Abstract
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2014).  Application of Weighted Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis in Traction Power Supply Systems of High-speed Railways. Twelfth Brainstorming Week on Membrane Computing (BWMC2014). 329-350.
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.
Wang, T., Zeng S., Zhang G., Pérez-Jiménez M. J., & Wang J. (2015).  Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 117-127.
Wang, T., Zhang G., Rong H., & Pérez-Jiménez M. J. (2014).  Application of fuzzy reasoning spiking neural P systems to fault diagnosis. International Journal of Computers, Communications and Control. 9(6), 720-733.
Wang, J., Hoogeboom H. J., Pan L., Paun G., & Pérez-Jiménez M. J. (2010).  Spiking Neural P Systems with Weights. Neural Computation. 22(10), 2615-2646. 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
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.
Wang, J., Hu J., Peng H., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  Decision tree models induced by membrane systems. Romanian Journal of Information Science and Technology. 18(3), 228–239.
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, J., Shi P., Peng H., Pérez-Jiménez M. J., & Wang T. (2013).  Weighted Fuzzy Spiking Neural P Systems. IEEE Transactions on Fuzzy Systems. 2, 209-220. Abstract
Wang, J., Peng H., Tu M., Pérez-Jiménez M. J., & Shi P. (2016).  A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms. Signal Processing. 25, 320-327. 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
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Vasile, C. I., Pavel A. B., Dumitrache I., & Paun G. (2012).  On the power of enzymatic numerical P systems. Acta Informatica. 49(6), 395-412. Abstract
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.
Valencia-Cabrera, L., Song B., Macías-Ramos L. F., Pan L., Riscos-Núñez A., & Pérez-Jiménez M. J. (2015).  Computational efficiency of P systems with symport/antiport rules and membrane separation. Thirteenth Brainstorming Week on Membrane Computing. 1, 325-370. Abstract
Valencia-Cabrera, L., Orellana-Martín D., Riscos-Núñez A., & Pérez-Jiménez M. J. (2016).  Minimal cooperation in polarizationless P systems with active membranes. Fourteenth Brainstorming Week on Membrane Computing (BWMC2016). 327-356.
Valencia-Cabrera, L., García-Quismondo M., Macías-Ramos L. F., Martínez-del-Amor M. A., Paun G., & Pérez-Jiménez M. J. (2013).  Proceedings of the Eleventh Brainstorming Week on Membrane Computing (11BWMC). Eleventh Brainstorming Week on Membrane Computing (11BWMC). x+272.
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., Riscos-Núñez A., & Pérez-Jiménez M. J. (2017).  Computational efficiency of minimal cooperation and distribution in polarizationless P systems with active membranes. Fundamenta Informaticae. 153(1-2), 147–172.
Valencia-Cabrera, L., Orellana-Martín D., Martínez-del-Amor M. A., Riscos-Núñez A., & Pérez-Jiménez M. J. (2017).  Restricted Polarizationless P Systems with Active Membranes: Minimal Cooperation Only Outwards. Fifteenth Brainstorming Week on Membrane Computing (BWMC2017).
Valencia-Cabrera, L., Orellana-Martín D., Riscos-Núñez A., & Pérez-Jiménez M. J. (2017).  Counting Membrane Systems. Eighteenth International Conference on Membrane Computing (CMC18). 359-372.
Valencia-Cabrera, L., Pérez-Jiménez M. J., Chen X., Wang B., & Zeng X. X. (2015).  Basic virus machines. 16th International Conference on Membrane Computing (CMC16). 323-342.