mohd sabri ismail, saiful izzuan hussain, mohd salmi md. noorani.  (2020).  detecting early warning signals of major financial crashes in bitcoin using persistent homology.  - ieee access.  42-57. 

nurulkamal masseran, saiful izzuan hussain.  (2020).  copula modelling on the dynamic dependence structure of multiple air pollutant variables.  - mathematics.  1-16. 

syed mohamad sadiq syed musa, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias, saiful izzuan hussain.  (2020).  an early warning system for flood detection using critical slowing down.  - international journal of environment research and public health.  1-13. 

muhammad aslam mohd safari, nurulkamal masseran, kamarulzaman ibrahim, saiful izzuan hussain.  (2019).  a robust and efficient estimator for the tail index of inverse pareto distribution.  - physica a: statistical mechanics and its applications.  . 

saiful izzuan hussain, steven li.  (2018).  the dependence structure between chinese and other major stock markets using extreme values and copulas.  - international review of economics and finance.  . 

hussain s.i., li s..  (2015).  modeling the distribution of extreme returns in the chinese stock market.  - journal of international financial markets, institutions and money.  263-276.