| Impact of changes in crude oil trade network patterns on national economy X Xi, J Zhou, X Gao, D Liu, H Zheng, Q Sun Energy Economics 84, 104490, 2019 | 64 | 2019 |
| The impact of regional industrial structure differences on carbon emission differences in China: An evolutionary perspective H Zheng, X Gao, Q Sun, X Han, Z Wang Journal of cleaner production 257, 120506, 2020 | 62 | 2020 |
| Identifying influential energy stocks based on spillover network Z Wang, X Gao, H An, R Tang, Q Sun International Review of Financial Analysis 68, 101277, 2020 | 59 | 2020 |
| Dynamic volatility spillovers among bulk mineral commodities: A network method S An, X Gao, H An, S Liu, Q Sun, N Jia Resources Policy 66, 101613, 2020 | 47 | 2020 |
| The effect of the mined cobalt trade dependence Network's structure on trade price Y Zhao, X Gao, H An, X Xi, Q Sun, M Jiang Resources Policy 65, 101589, 2020 | 47 | 2020 |
| Network features of sector indexes spillover effects in China: A multi-scale view S Feng, S Huang, Y Qi, X Liu, Q Sun, S Wen Physica A: Statistical Mechanics and its Applications 496, 461-473, 2018 | 43 | 2018 |
| The stability of the international oil trade network from short-term and long-term perspectives Q Sun, X Gao, W Zhong, N Liu Physica A: Statistical Mechanics and its Applications 482, 345-356, 2017 | 42 | 2017 |
| Windowed volatility spillover effects among crude oil prices S An, X Gao, H An, F An, Q Sun, S Liu Energy 200, 117521, 2020 | 41 | 2020 |
| The transmission of fluctuation among price indices based on Granger causality network Q Sun, X Gao, S Wen, Z Chen, X Hao Physica A: Statistical Mechanics and its Applications 506, 36-49, 2018 | 30 | 2018 |
| Influence of different factors on prices of upstream, middle and downstream products in China's whole steel industry chain: Based on Adaptive Neural Fuzzy Inference System Y Liu, H Li, J Guan, X Liu, Q Guan, Q Sun Resources Policy 60, 134-142, 2019 | 29 | 2019 |
| Steel product prices transmission activities in the midstream industrial chain and global markets S Guo, H Li, H An, Q Sun, X Hao, Y Liu Resources Policy 60, 56-71, 2019 | 28 | 2019 |
| Measuring systemic risk contribution of global stock markets: A dynamic tail risk network approach Z Wang, X Gao, S Huang, Q Sun, Z Chen, R Tang, Z Di International Review of Financial Analysis 84, 102361, 2022 | 22 | 2022 |
| Which time-frequency domain dominates spillover in the Chinese energy stock market? Q Sun, X Gao, H An, S Guo, X Liu, Z Wang International Review of Financial Analysis 73, 101641, 2021 | 19 | 2021 |
| The influence of country risks on the international agricultural trade patterns based on network analysis and panel data method Q Sun, M Hou, S Shi, L Cui, Z Xi Agriculture 12 (3), 361, 2022 | 18 | 2022 |
| Effects of crude oil shocks on the PPI system based on variance decomposition network analysis Q Sun, H An, X Gao, S Guo, Z Wang, S Liu, S Wen Energy 189, 116378, 2019 | 17 | 2019 |
| Modeling the complex network of multidimensional information time series to characterize the volatility pattern evolution S Liu, X Gao, W Fang, Q Sun, S Feng, X Liu, S Guo IEEE Access 6, 29088-29097, 2018 | 17 | 2018 |
| Identifying influential nodes based on fluctuation conduction network model Z Wang, X Gao, R Tang, X Liu, Q Sun, Z Chen Physica A: Statistical Mechanics and its Applications 514, 355-369, 2019 | 14 | 2019 |
| Nonlinear impacts of energy consumption and globalization on ecological footprint: Empirical research from BRICS countries Q Sun, R Ma, Z Xi, H Wang, C Jiang, H Chen Journal of Cleaner Production 396, 136488, 2023 | 13 | 2023 |
| Multi-scale comovement of the dynamic correlations between copper futures and spot prices H Yu, Y Ding, Q Sun, X Gao, X Jia, X Wang, S Guo Resources Policy 70, 101913, 2021 | 13 | 2021 |
| Quantifying the risk of price fluctuations based on weighted Granger causality networks of consumer price indices: Evidence from G7 countries Q Sun, X Gao, Z Wang, S Liu, S Guo, Y Li Journal of Economic Interaction and Coordination 15, 821-844, 2020 | 9 | 2020 |
