Jing Li
Orcid: 0000-0001-7185-8440Affiliations:
- Taiyuan University of Science and Technology, School of Applied Science, China
- Shanxi University, School of Mathematical Sciences, Taiyuan, China (former)
According to our database1,
Jing Li
authored at least 33 papers
between 2007 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
Theor. Comput. Sci., 2021
On g-good-neighbor conditional connectivity and diagnosability of hierarchical star networks.
Discret. Appl. Math., 2021
2020
Unpaired Many-to-Many Disjoint Path Covers on Bipartite k-Ary n-Cube Networks with Faulty Elements.
Int. J. Found. Comput. Sci., 2020
2019
Embedding fault-free hamiltonian paths with prescribed linear forests into faulty ternary <i>n</i>-cubes.
Theor. Comput. Sci., 2019
2018
Proceedings of the 15th International Symposium on Pervasive Systems, 2018
2017
Theor. Comput. Sci., 2017
Paired 2-disjoint path covers of multi-dimensional torus networks with 2n - 3 faulty edges.
Theor. Comput. Sci., 2017
Int. J. Found. Comput. Sci., 2017
Discret. Appl. Math., 2017
2016
Theor. Comput. Sci., 2016
2015
Int. J. Comput. Math., 2015
Int. J. Comput. Math., 2015
2014
Conditional connectivity of recursive interconnection networks respect to embedding restriction.
Inf. Sci., 2014
Principal resonance responses of SDOF systems with small fractional derivative damping under narrow-band random parametric excitation.
Commun. Nonlinear Sci. Numer. Simul., 2014
Panconnectivity and pancyclicity of the 3-ary n-cube network under the path restrictions.
Appl. Math. Comput., 2014
2013
The Super Spanning Connectivity and Super Spanning laceability of Tori with Faulty Elements.
Int. J. Found. Comput. Sci., 2013
Inf. Comput., 2013
Discret. Appl. Math., 2013
2012
IEEE Trans. Parallel Distributed Syst., 2012
Discret. Appl. Math., 2012
2011
Inf. Sci., 2011
Inf. Sci., 2011
Inf. Process. Lett., 2011
Discret. Appl. Math., 2011
2010
Networks, 2010
Inf. Process. Lett., 2010
2007
Attribute Reduction Based on Bi-directional Distance Correlation and Radial Basis Network.
Proceedings of the Advances in Neural Networks, 2007