Professor, PhD supervisor
Prof.Hong Fan is aprofessor of Glorious Sun School of Business and Management,Donghua University.She received hisdoctoral degree from the University of Tokyo in 2009. Her research interests includedecision support system, big data analysis and modelling, financial network risk analysis, and complex economic system modelling and analysis. Prof. Fanhas published more than 30 academic journal papers, including more than14 SCI/SSCI-indexed journal papers.
SCI/SSCI Journal Papers
H．Fan, Z.Wang, F. Han, Robust Synchronization in Excitatory Networks with MediumSynaptic Delay, ADVANCES IN COGNITIVE NEURODYNAMICS(IV), 2015, 253-257.
 F. Han, Z.Wang, H．Fan, Optimum neural tuning curves for information efficiency with ratecoding and finite-time window, FRONTIERS IN COMPUTATIONAL NEUROSCIENCE2015, 9, 67.
 F. Han, Z.Wang, H．Fan, Robust Synchronization in an E/I Network with Medium SynapticDelay and High Level of Heterogeneity, CHINESE PHYSICS LETTERS, 2015, 32(4): 040502.
 H. Fan, Calculation of system risk in a dynamical bank network system, ActaPhysica Sinica,2014, 63 (3): 038902.
 Z. Wang, H. Fan, F. Han, A new regime for highly robust gamma oscillation with co-exist ofaccurate and weak synchronization in excitatory–inhibitory networks, CognitiveNeurodynamics, 2014, 8(4):335-344.
 H. Fan, Distribution of Producer Size in Globalized Market, Advances in Complex Systems,2012, 15(7):12500761-125007624.
 Z. Wang, H. Fan, K. Aihara, Three synaptic components contributing to robust networksynchronization, Physical Review E, 2011, 83:0519051-05190512.
 H. Fan and Z. Wang, On the degree distribution of a bipartite network with rewiring dynamics,International Journal of Modern Physics B, 2011,25:371-385.
 H. Fan, Z. Wang, L. Chen, and K. Aihara, Feedback mechanism in network dynamics withpreferential flow, Physical Review E, 2009, 79:026107.
 H. Fan, Z. Wang, T. Ohnishi, H. Saito, and K. Aihara, Multicommunity weight-drivenbipartite network model, Physical Review E, 2008, 78:026103.
 Z. Wang and H. Fan, Dynamics of a continuous-valued discrete-time Hopfield neuralnetwork with synaptic depression, Neural Computing, 2007, 71:181-190.
 Z. Wang, H. Fan and K. Aihara, An associative network with chaotic neurons and dynamicsynapses, International Journal of Bifurcation and Chaos, 2007 17:3085-3097.
 Z. Wang and H. Fan, Memory retrieval in a neural network with chaotic neurons anddynamic synapses. IWANN2005, LNCS 3512:654-660.
 Z. Wang and H. Fan, Implementing fuzzy reasoning by IAF neurons, ICNC2005, LNCS3610 :476-479.
Other English Papers
 H. Fan, Hidden Feedback Mechanism in a Multi-Regional Economic Network Model, ICICExpress Letters, 2014, 8(9):2423-2430.
 H. Fan and J. Li, Stability of a dynamical bank network based on different investmentbehaviors, Complex Systems and Complexity Science, 2014, 11(4): 72-79.
 H. Fan and Z. Wang, Memory train in a chaotic autoassociative neural network, Journal ofDonghua University, 2005, No.1.
H. Fan and Z. Wang, Image edge detection based on oscillation, Journal of DonghuaUniversity, 2005, No.3.
J. Xu, H. Fan, An Algorithm for Spread Arbitrage Process in the CSI-300 Futures Market,CITCS 2012, 950-953.
 H. Fan, The degree distribution of a multi-community bipartite network with both growingand rewiring dynamics, CSO 2011, 108-111.
 H. Fan, Analysis of the degree distribution of a multi-community consumer-producernetwork with both growing and rewiring dynamics, ICEE 2011, 1107-1110.
 L. Wang, H. Fan, A theoretical model for enterprise's innovation capability assessing, MASS2010, 1-4.
 H. Fan, Fluctuation in a multi-region economic network, CSO 2010, 147-150.