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2009
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
2010
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
2012
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
2013
Peng, H., Wang J., Pérez-Jiménez M. J., & Shi P. (2013).  A novel image thresholding method based on membrane computing and fuzzy entropy. Journal of Intelligent and Fuzzy Systems. 2, 229-237. Abstract
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
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
2014
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.
2015
Peng, H., Jiang Y., Wang J., & Pérez-Jiménez M. J. (2015).  Membrane clustering algorithm with hybrid evolutionary mechanisms. Journal of Software. 26(6), 1001-1012.
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.
Peng, H., Wang J., & Pérez-Jiménez M. J. (2015).   Optimal multi-level thresholding with membrane computing. Digital Signal Processing. 37, 53–64.
Wang, T., Zhang G., Zhao J., He Z., Wang J., & Pérez-Jiménez M. J. (2015).  Fault diagnosis of electric power systems based on fuzzy reasoning spiking neural P systems. IEEE Transactions on Power Systems. 30(3), 1182-1194. 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.
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.
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., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An automatic clustering algorithm inspired by membrane computing. Pattern Recognition Letters. 68(1), 34-40.
2016
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2016).  An extended membrane system with active membranes to solve automatic fuzzy clustering problems. International Journal of Neural Systems. 1-11. 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
2017
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., 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.
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.
2018
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.
Yang, J., Chen R., Zhang G., Peng H., Wang J., & Riscos-Núñez A. (2018).  A Kernel-Based Membrane Clustering Algorithm. Enjoying Natural Computing: Essays Dedicated to Mario de Jesús Pérez-Jiménez on the Occasion of His 70th Birthday. 318-329.
2019
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
Peng, H., Li B., Wang J., Song X., Wang T., Valencia-Cabrera L., et al. (2019).  Spiking neural P systems with inhibitory rules. Knowledge-Based Systems. 105064. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2019).  Dynamic threshold neural P systems. Knowledge-Based Systems. 163, 875-884.

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)