• image 01
    Volume 1, No.1, 2012
  • image 02
    Volume 1, No.2, 2012
  • image 01
    Volume 1, No.3, 2012
  • image 02
    Volume 2, No.1, 2013
  • image 02
    Volume 2, No.2, 2013
  • image 02
    Volume 2, No.S1, 2013
  • image 02
    Volume 2, No.3, 2013
  • image 02
    Volume 2, No.4, 2013
  • image 02
    Volume 3, No.1, 2014
  • image 02
    Volume 3, No.2, 2014
  • Volume 3, No3
    Volume 3, No.3, 2014
  • Volume 3, No4
    Volume 3, No.4, 2014
  • Volume 4, No1
    Volume 4, No.1, 2015
  • Volume 4, No2
    Volume 4, No.2, 2015
  • Volume 4, No3
    Volume 4, No.3, 2015
  • Volume 4, No4
    Volume 4, No.4, 2015
  • Volume 5, No1
    Volume 5, No.1, 2016
  • Login|Register

  • Home Year Wise CitationsMost Cited Article  (2)

    Total citations for the following article is (2) : Details of Citation

    QSRR Study of Linear Retention Indices for Volatile Compounds using Statistical Methods
    ASSIA BELHASSAN, SAMIR CHTITA, TAHAR LAKHLIFI and MOHAMMED BOUACHRINE
    MCNS Laboratory, Faculty of Science, Moulay Ismail University, Meknes, Morocco
    Materials, Environment & Modeling Laboratory, (ESTM) High school of technology, Moulay Ismail University, Meknes, Morocco
    Chem Sci Trans., 2018   |   DOI:-    |    View Abstract | FullText    |   

    This article has been cited by :

    Atefehsadat Navabi et al., QSPR Models for Predicting Retention Indices of Polygonum minus Huds. Essential Oil Composition Using GA-BWMLR and GA-BPANN Methods   
    Journal of Essential Oil Bearing Plants, Volume 24, 2021 - Issue 4    | View at Journal site     | ISI   
    A Belhassan, S Chtita, T Lakhlifi, 2D-and 3D-QSRR Studies of Linear Retention Indices for Volatile Alkylated Phenols   
    Sino-Nasal and Olfactory System Disorders, 2019    | View at Journal site     | -