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Ruijin Du
Ruijin Du
Associated Professor of Faculty of Science, Jiangsu University
Verified email at ujs.edu.cn
Title
Cited by
Cited by
Year
Robustness of network of networks under targeted attack
G Dong, J Gao, R Du, L Tian, HE Stanley, S Havlin
Physical Review E 87 (5), 052804, 2013
2372013
Percolation of partially interdependent networks under targeted attack
G Dong, J Gao, L Tian, R Du, Y He
Physical Review E 85 (1), 016112, 2012
1382012
Which artificial intelligence algorithm better predicts the Chinese stock market?
L Chen, Z Qiao, M Wang, C Wang, R Du, HE Stanley
IEEE Access 6, 48625-48633, 2018
1362018
A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms
M Wang, L Zhao, R Du, C Wang, L Chen, L Tian, HE Stanley
Applied energy 220, 480-495, 2018
1292018
Resilience of networks with community structure behaves as if under an external field
G Dong, J Fan, LM Shekhtman, S Shai, R Du, L Tian, X Chen, HE Stanley, ...
Proceedings of the National Academy of Sciences 115 (27), 6911-6915, 2018
1102018
A complex network perspective on interrelations and evolution features of international oil trade, 2002–2013
R Du, Y Wang, G Dong, L Tian, Y Liu, M Wang, G Fang
Applied Energy 196, 142-151, 2017
1062017
Fluctuation behavior analysis of international crude oil and gasoline price based on complex network perspective
M Wang, Y Chen, L Tian, S Jiang, Z Tian, R Du
Applied Energy 175, 109-127, 2016
722016
Robustness of n interdependent networks with partial support-dependence relationship
G Dong, L Tian, D Zhou, R Du, J Xiao, HE Stanley
Europhysics Letters 102 (6), 68004, 2013
632013
The valuation of photovoltaic power generation under carbon market linkage based on real options
L Tian, J Pan, R Du, W Li, Z Zhen, G Qibing
Applied energy 201, 354-362, 2017
612017
Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach
M Wang, L Tian, R Du
Applied Energy 180, 779-791, 2016
602016
Optimal resilience of modular interacting networks
G Dong, F Wang, LM Shekhtman, MM Danziger, J Fan, R Du, J Liu, L Tian, ...
Proceedings of the National Academy of Sciences 118 (22), e1922831118, 2021
512021
Complex network approach for the structural optimization of global crude oil trade system
G Dong, T Qing, R Du, C Wang, R Li, M Wang, L Tian, L Chen, ALM Vilela, ...
Journal of Cleaner Production 251, 119366, 2020
492020
Robustness of network of networks with interdependent and interconnected links
G Dong, R Du, L Tian, R Liu
Physica A: Statistical Mechanics and its Applications 424, 11-18, 2015
402015
The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China
G Fang, L Tian, M Fu, M Sun, R Du, L Lu, Y He
Applied energy 196, 180-189, 2017
382017
Targeted attack on networks coupled by connectivity and dependency links
R Du, G Dong, L Tian, R Liu
Physica A: Statistical Mechanics and its Applications 450, 687-699, 2016
362016
Exact results of the limited penetrable horizontal visibility graph associated to random time series and its application
M Wang, ALM Vilela, R Du, L Zhao, G Dong, L Tian, HE Stanley
Scientific reports 8 (1), 5130, 2018
332018
Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application
G Fang, L Tian, M Fu, M Sun, R Du, M Liu
Applied energy 194, 635-647, 2017
312017
Analysis of percolation behaviors of clustered networks with partial support–dependence relations
G Dong, L Tian, R Du, M Fu, HE Stanley
Physica A: Statistical Mechanics and its Applications 394, 370-378, 2014
312014
Identifying the peak point of systemic risk in international crude oil importing trade
R Du, G Dong, L Tian, Y Wang, L Zhao, X Zhang, ALM Vilela, HE Stanley
Energy 176, 281-291, 2019
292019
Topological properties of the limited penetrable horizontal visibility graph family
M Wang, ALM Vilela, R Du, L Zhao, G Dong, L Tian, HE Stanley
Physical Review E 97 (5), 052117, 2018
212018
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