siti mahirah abdul gani, zaidi isa, munira ismail.  (2024).  korelasi bersyarat dan limpahan kemeruapan bagi pulangan harga smr20 dan pulangan pasaran niaga hadapan getah (tocom, sicom dan shfe).  - sains malaysiana.  2099 - 3009. 

hafizah bahaludin, alyssa april dellow, mimi hafizah abdullah, munira ismail, fatimah abdul razak.  (2024).  exploring correlations of energy companies on bursa malaysia during the covid-19 pandemic using network analysis.  - journal of quality measurement and analysis.  1 - 22. 

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. 

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. 

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. 

syed mohamad sadiq syed musa, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias.  (2022).  streamflow data analysis for flood detection using persistent homology.  - sains malaysiana.  2211-2222. 

mohd sabri ismail, mohd salmi md noorani, munira ismail, fatimah abdul razak.  (2022).  early warning signals of financial crises using persistent homology and critical slowing down: evidence from different correlation tests.  - frontiers in applied mathematics and statistics.  1-15. 

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. 

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.  (2020).  cluster analysis of haze episodes based on topological features.  - sustainability.  1-17. 

nur fariha syaqina zulkepli, mohd salmi md noorani, fatimah abdul razak, munira ismail, mohd almie alias.  (2020).  pendekatan baharu untuk mengelompok stesen pengawasan kualiti udara menggunakan homologi gigih.  - sains malaysiana.  963-970. 

siti nazifah zainol abidin, saiful hafizah jaaman, munira ismail, ahmad syafadhli abu bakar.  (2020).  clustering stock performance considering investor preferences using a fuzzy inference system.  - symmetry.  1-15. 

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. 

devendran indiran, munira ismail, zaidi isa.  (2019).  financial bubble theory and the log periodic power law application to malaysian stock market.  - international journal of innovative technology and exploring engineering.  . 

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. 

jaaman s.h., shamsuddin s.m., yusob b., ismail m..  (2009).  a predictive model construction applying rough set methodology for malaysian stock market returns.  - international research journal of finance and economics.  30:211-218.