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Hong Peng
Hong Peng
Xihua University
Verified email at mail.xhu.edu.cn
Title
Cited by
Cited by
Year
Formation of tough interlocking microstructures in silicon nitride ceramics by dynamic ripening
Z Shen, Z Zhao, H Peng, M Nygren
Nature 417 (6886), 266-269, 2002
5192002
Fuzzy reasoning spiking neural P system for fault diagnosis
H Peng, J Wang, MJ Pérez-Jiménez, H Wang, J Shao, T Wang
Information Sciences 235, 106-116, 2013
2552013
Weighted fuzzy spiking neural P systems
J Wang, P Shi, H Peng, MJ Pérez-Jiménez, T Wang
IEEE Transactions on Fuzzy Systems 21 (2), 209-220, 2012
1742012
Ubiquitylation of p62/sequestosome1 activates its autophagy receptor function and controls selective autophagy upon ubiquitin stress
H Peng, J Yang, G Li, Q You, W Han, T Li, D Gao, X Xie, BH Lee, J Du, ...
Cell research 27 (5), 657-674, 2017
1732017
Fault diagnosis of power systems using intuitionistic fuzzy spiking neural P systems
H Peng, J Wang, J Ming, P Shi, MJ Pérez-Jiménez, W Yu, C Tao
IEEE transactions on smart grid 9 (5), 4777-4784, 2017
1352017
Spiking neural P systems with multiple channels
H Peng, J Yang, J Wang, T Wang, Z Sun, X Song, X Luo, X Huang
Neural Networks 95, 66-71, 2017
1222017
Image watermarking method in multiwavelet domain based on support vector machines
H Peng, J Wang, W Wang
Journal of Systems and Software 83 (8), 1470-1477, 2010
1172010
Coupled neural P systems
H Peng, J Wang
IEEE Transactions on Neural Networks and Learning Systems 30 (6), 1672-1682, 2018
1132018
Dynamic threshold neural P systems
H Peng, J Wang, MJ Pérez-Jiménez, A Riscos-Núñez
Knowledge-Based Systems 163, 875-884, 2019
1122019
Nanobubbles do not sit alone at the solid–liquid interface
H Peng, MA Hampton, AV Nguyen
Langmuir 29 (20), 6123-6130, 2013
1042013
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
T Wang, X Wei, J Wang, T Huang, H Peng, X Song, LV Cabrera, ...
Engineering Applications of Artificial Intelligence 92, 103680, 2020
1012020
An unsupervised learning algorithm for membrane computing
H Peng, J Wang, MJ Pérez-Jiménez, A Riscos-Núñez
Information Sciences 304, 80-91, 2015
962015
Formidable increase in the superplasticity of ceramics in the presence of an electric field
Z Shen, H Peng, M Nygren
Advanced materials 15 (12), 1006-1009, 2003
952003
Spiking neural P systems with inhibitory rules
H Peng, B Li, J Wang, X Song, T Wang, L Valencia-Cabrera, ...
Knowledge-Based Systems 188, 105064, 2020
932020
Membrane computing and image processing: a short survey
D Díaz-Pernil, MA Gutiérrez-Naranjo, H Peng
Journal of Membrane Computing 1, 58-73, 2019
862019
Conversion from nano-to micron-sized structures: experimental observations
Z Shen, H Peng, J Liu, M Nygren
Journal of the European Ceramic Society 24 (12), 3447-3452, 2004
862004
A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images
B Li, H Peng, J Wang
Signal Processing 178, 107793, 2021
812021
Nonlinear spiking neural P systems
H Peng, Z Lv, B Li, X Luo, J Wang, X Song, T Wang, MJ Pérez-Jiménez, ...
International Journal of Neural Systems 30 (10), 2050008, 2020
812020
Medical image fusion method based on coupled neural P systems in nonsubsampled shearlet transform domain
B Li, H Peng, X Luo, J Wang, X Song, MJ Pérez-Jiménez, A Riscos-Núñez
International Journal of Neural Systems 31 (01), 2050050, 2021
802021
Origin of interfacial nanoscopic gaseous domains and formation of dense gas layer at hydrophobic solid–water interface
H Peng, GR Birkett, AV Nguyen
Langmuir 29 (49), 15266-15274, 2013
792013
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Articles 1–20