An Feng

An Feng, Associate Professor, School of Economics and Management, Beijing University of Chemical Technology; Doctor of Management, China University of Geosciences (Beijing); Postdoctoral Fellow, University of Science and Technology Beijing; Visiting scholar, Boston University, USA. He has published more than 30 international SCI/SSCI papers and presided over a youth project of the National Natural Science Foundation. He is a guest editor of the international SCI journal Entropy and a reviewer of several international SCI/SSCI journals such as Scientific Reports, Chaos, and Resources Policy. His research focuses on high-dimensional complex network theory, social relationship prediction, international trade analysis, etc.

[1]    “Predicting multiple observations in complex systems through low-dimensional embeddings” Wu, T, Gao, X, An, F, Sun, X, An, H., Su, Z., Gupta, S., Gao, J. & Kurths J. Nature Communications, 2024.

[2]    “Forecasting the dynamics of correlations in complex systems” Wu, T., Gao X., An F., Xu X., Kurths, J. Chaos, Solitons & Fractals, 2024.

[3]    “Early warning of critical transitions in crude oil price” An, S., An, F., Gao, X., & Wang, A. Energy, 2023, 128089.

[4]    “Hidden causality between oil prices and exchange rates” Wu, T., An, F., Gao, X., & Wang, Z. Resources Policy, 2023, 82, 103512.

[5]    “A novel framework for direct multistep prediction in complex systems” Wu, T., An, F., Gao, X., Zhong, W., & Kurths, J. Nonlinear Dynamics, 2023, 111(10), 9289-9304.

[6]    “Universal window size-dependent transition of correlations in complex systems” Wu, T., An, F., Gao, X., Liu, S., Sun, X., Wang, Z., Su, Z., & Kurths, J. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023, 33(2).

[7]    “The complex dynamics of correlations within chaotic systems” Wu, T., Gao, X., An, F., & Kurths, J. Chaos, Solitons & Fractals, 2023, 167, 113052.

[8]    “Changes in Air Quality during the Period of COVID-19 in China” Xu, X., Huang, S., An, F., & Wang, Z. International Journal of Environmental Research and Public Health, 2022, 19(23), 16119.

[9]    “Improvement and Predictability of Urban Air Quality Under Different Stages of the COVID-19 Pandemic” Xu, X., Huang, S., Haizhong, A., & An, F. 2022, Available at SSRN 4000411.

[10]“A quantification method of non-failure cascading spreading in a network of networks” An, F., Wu, S., Gao, X., Eugene Stanley, H., & Gao, J. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021, 31(12).

[11]“Detecting the nation-based characteristics of industries in the global input-output network of networks” An, F., Wu, S., Gao, X., & Stanley, H. E. Europhysics Letters, 2022, 136(3), 30001.

[12]“Optimization of the international nickel ore trade network” Dong, X., An, F., Dong, Z., Wang, Z., Jiang, M., Yang, P., & An, H. Resources Policy, 2021, 70, 101978.

[13]“Self-similar behaviors in the crude oil market” Liu, S., Fang, W., Gao, X., Wang, Z., An, F., & Wen, S. Energy, 2020, 211, 118682.

[14]“Windowed volatility spillover effects among crude oil prices” An, S., Gao, X., An, H., An, F., Sun, Q., & Liu, S. Energy, 2020, 200, 117521.

[15]“Cluster-based topological features of nodes in a multiplex network–from a network of networks perspective” An, F., Gao, X., Liu, N., Wang, Z., Li, Y., Gao, J., & Stanley, H. E.. New Journal of Physics, 2019, 21(10): 103014.

[16]“Detecting the significant nodes in two-layer flow networks: an interlayer non-failure cascading effect perspective” An, F., Gao, X., Guan, J., Jian, M., & Liu, Q.. The European Physical Journal Special Topics, 2019, 228(11): 2475-2490.

[17]“Modeling the interdependent network based on two-mode networks” An, F., Gao, X., Guan, J., Huang, S., & Liu, Q.. Physica A Statistical Mechanics & Its Applications, 2017, 483:57-67.

[18]“An evolution analysis of executive-based listed company relationships using complex networks” An, F., Gao, X., Guan, J., Li, H., & Liu, Q.. Physica A Statistical Mechanics & Its Applications, 2016, 447:276-285.

[19]“Long-term memory dynamics of crude oil price spread in non-dollar countries under the influence of exchange rates” Siyao, L., Wei, F., Gao, X., An, F., Jiang, M., & Li, Y.. Energy, 2019.

[20]“Supply and demand response trends of lithium resources driven by the demand of emerging renewable energy technologies in China” Liu, D., Gao, X., An, H., Qi, Y., Sun, X., Wang, Z., Chen, Z., An, F. & Jia, N.. Resources, Conservation and Recycling, 2019,145, 311-321.

[21]“The structural roles of sectors and their contributions to global carbon emissions: a complex network perspective” Jiang, M., Gao, X., Guan, Q., Hao, X., & An, F.. Journal of cleaner production, 2019, 208, 426-435.

[22]“Modelling cointegration and Granger causality network to detect long-term equilibrium and diffusion paths in the financial system” Gao, X., Huang, S., Sun, X., Hao, X., & An, F.. Royal Society open science, 2018, 5(3), 172092.

[23]“Structural risk evaluation of global gas trade by a network-based dynamics simulation model” Chen, Z., An, H., An, F., Guan, Q., & Hao, X.. Energy, 2018, 159, 457-471.

[24]“Detecting method for crude oil price fluctuation mechanism under different periodic time series” Gao, X., Fang, W., An, F., & Wang, Y.. Applied energy, 2017, 192, 201-212.

[25]“Information connections among multiple investors: evolutionary local patterns revealed by motifs” Guan, Q., An, H., Liu, N., An, F., & Jiang, M.. Scientific reports, 2017, 7(1), 14034.

[26]“Revisiting driving factors of oil price shocks across time scales” Huang, S., An, H., Wen, S., & An, F.. Energy, 2017, 139, 617-629.

[27]“Price fluctuation in the energy stock market based on fluctuation and co-fluctuation matrix transmission networks” Li, H., An, H., Liu, X., Gao, X., Fang, W., & An, F.. Energy, 2016, 117, 73-83.