saiful izzuan hussain, nadiah ruza.  (2022).  automated deep learning of covid-19 and pneumonia detection using google automl.  - intelligent automation & soft computing.  1143-1156. 

saiful izzuan hussain, r. nur-firyal, nadiah ruza.  (2022).  linkage transitions between oil and the stock markets of countries with the highest covid-19 cases.  - journal of commodity markets.  1-17. 

mohd norazmi nodin, zainol mustafa, saiful izzuan hussain.  (2022).  assessing rice production efficiency for food security policy planning in malaysia: a non-parametric bootstrap data envelopment analysis approach.  - food policy.  1-14. 

saiful izzuan hussain, steven li.  (2021).  dependence structure between oil and other commodity futures in china based on extreme value theory and copulas.  - the world economy.  317-335. 

muhammad aslam mohd safari, nurulkamal masseran, kamarulzaman ibrahim, saiful izzuan hussain.  (2021).  measuring income inequality: a robust semi-parametric approach.  - physica a: statistical mechanics and its applications.  1-14. 

syed mohamad sadiq syed musa, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias, saiful izzuan hussain.  (2021).  using persistent homology as preprocessing of early warning signals for critical transition in flood.  - scientific reports.  1-14. 

mazmira adan, saiful izzuan hussain.  (2021).  the relationship between economic growth, small and medium enterprises and the number of employees in malaysia using vine copula approach.  - sains malaysiana.  2455-2468. 

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. 

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. 

mazmira adan, saiful izzuan hussain, humaida banu samsudin.  (2020).  understanding the economic linkages among small and medium enterprises, economic growth, and employees in malaysia.  - asian economic and financial review.  1309-1320. 

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 dynamic dependence between stock markets in the greater chinaeconomic area: a study based on extreme values and copulas.  - financial markets and portfolio management.  . 

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.