bahiyah azli, mohd nasharudin razak, abdul rahman omar, nor azimah mohd zain, fatimah abdul razak, i. nurulfiza.  (2022).  metagenomics insights into the microbial diversity and microbiome network analysis on the heterogeneity of influent to effluent water.  - frontiers in microbiology.  1-20. 

nur fariha syaqina zulkepli, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias.  (2022).  hybridization of hierarchical clustering with persistent homology in assessing haze episodes between air quality monitoring stations.  - journal of environmental management.  1-16. 

mohd sabri ismail, mohd salmi md noorani, munira ismail, fatimah abdul razak, mohd almie alias.  (2022).  early warning signals of financial crises using persistent homology.  - physica a-statistical mechanics and its applications.  1-27. 

daeng ahmad zuhri zuhud, muhammad hasannudin musa, munira ismail, hafizah bahaludin, fatimah abdul razak.  (2022).  the causality and uncertainty of the covid-19 pandemic to bursa malaysia financial services index's constituents.  - entropy.  1-30. 

fatimah abdul razak; zamira hasanah zamzuri.  (2021).  modelling heterogeneity and super spreaders of the covid-19 spread through malaysian networks.  - symmetry.  1-17. 

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. 

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. 

nur fariha syaqina zulkepli, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias.  (2020).  cluster analysis of haze episodes based on topological features.  - sustainability.  1-17. 

mohd sabri ismail, mohd salmi md noorani, munira ismail, fatimah abdul razak, mohd almie alias.  (2020).  predicting next day direction of stock price movement using machine learning methods with persistent homology: evidence from kuala lumpur stock exchange.  - applied soft computing.  1-18. 

nur fariha syaqina zulkepli, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias.  (2019).  topological characterization of haze episodes using persistent homology.  - aerosol and air quality research.  1614-1624. 

fatimah abdul razak, henrik jeldtoft jensen.  (2014).  quantifying `causality` in complex systems: understanding transfer entropy.  - plos one.  9(6): e99462.