lee loong chuen, abdul aziz jemain.  (2021).  on overview of pca application strategy in processing high dimensionality forensic data.  - microchemical journal.  1-16. 

loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2019).  statistical comparison of decision rules in pls2-da prediction model for classification of blue gel pen inks according to pen brand and pen model.  - chemometrics and intelligent laboratory systems.  . 

lee loong chuen, abdul aziz jemain.  (2019).  predictive modelling of colossal atr-ftir spectral data using pls-da: empirical differences between pls1-da and pls2-da algorithms.  - analyst.  2670-2678. 

loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2018).  validity of the best practice in splitting data for hold-out validation strategy as performed on the ink strokes in the context of forensic science.  - microchemical journal.  . 

loong chuen lee, choong-yeun liong and abdul aziz jemain.  (2018).  partial least squares-discriminant analysis (pls-da) for classification of high-dimensional (hd) data: a review of contemporary practice strategies and knowledge gaps.  - analyst.  . 

loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2018).  effects of data pre-processing methods on classification of atr-ftir spectra of pen inks using partial least squares-discriminant analysis (pls-da).  - chemometrics and intelligent laboratory systems.  . 

loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2017).  a contemporary review on data preprocessing (dp) practice strategy in atr-ftir spectrum.  - chemometrics and intelligent laboratory systems.  64-75. 

loong chuen lee, choong-yeun liong, abdul aziz jemain.  (2016).  correspondence regarding the article "discrimination of various paper types using diffuse reflectance ultraviolet-visible-near-infrared spectroscopy: [appl.spectrosc. 2015.69(6): 714-720].  - applied spectroscopy.  1598-1601.