Minghui Jiang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Minghui Jiang 001 (Utah State University, Logan, UT, USA)
- Minghui Jiang 002 (Three Gorges University, Yichang, China)
- Minghui Jiang 003 (Harbin Institute of Technology, School of Management, China)
- Minghui Jiang 004 (Xiamen University, School of Information Science and Engineering, Fujian Key Laboratory of Sensing and Computing for Smart City, Fujian, China)
- Minghui Jiang 005 (Huazhong University of Science and Technology, Tongji Medical College, School of Public Health, Wuhan, China)
- Minghui Jiang 006 (University of Science and Technology Beijing, Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, China)
Bibliography
2025
Patent Openness Decisions and Investment Propensities of Frontier Enterprises in Asymmetric Competition.
Syst., 2025
The optimal decision of e-retailer based on return-freight insurance - considering the loss aversion of customers.
Kybernetes, 2025
2024
The Second-Order Sliding Mode Control Algorithm for Fixed-Time Stability of Nonlinear Systems.
Circuits Syst. Signal Process., September, 2024
MethylGenotyper: Accurate Estimation of SNP Genotypes and Genetic Relatedness from DNA Methylation Data.
Genom. Proteom. Bioinform., 2024
Global exponential synchronization of BAM memristive neural networks with mixed delays and reaction-diffusion terms.
Commun. Nonlinear Sci. Numer. Simul., 2024
2023
General Decay Synchronization of Fuzzy Inertial Memristive Neural Networks with Discontinuous Activation Function.
Neural Process. Lett., December, 2023
Mean-square finite-time synchronization of stochastic competitive neural networks with infinite time-varying delays and reaction-diffusion terms.
Commun. Nonlinear Sci. Numer. Simul., December, 2023
Pattern Recognit., November, 2023
Fixed-time synchronization of complex-valued memristive competitive neural networks based on two novel fixed-time stability theorems.
Neural Comput. Appl., October, 2023
Stability of Memristor-based Fractional-order Neural Networks with Mixed Time-delay and Impulsive.
Neural Process. Lett., 2023