| Fitting a mixture of von Mises distributions in order to model data on wind direction in Peninsular Malaysia N Masseran, AM Razali, K Ibrahim, MT Latif Energy Conversion and Management 72, 94-102, 2013 | 140 | 2013 |
| Evaluating wind power density models and their statistical properties N Masseran Energy 84, 533-541, 2015 | 105 | 2015 |
| An analysis of wind power density derived from several wind speed density functions: The regional assessment on wind power in Malaysia N Masseran, AM Razali, K Ibrahim Renewable and Sustainable Energy Reviews 16 (8), 6476-6487, 2012 | 103 | 2012 |
| Evaluating the wind speed persistence for several wind stations in Peninsular Malaysia N Masseran, AM Razali, K Ibrahim, WZW Zin Energy 37 (1), 649-656, 2012 | 67 | 2012 |
| Markov chain model for the stochastic behaviors of wind-direction data N Masseran Energy conversion and management 92, 266-274, 2015 | 64 | 2015 |
| Modeling the wind direction behaviors during the monsoon seasons in Peninsular Malaysia N Masseran, AM Razali Renewable and Sustainable Energy Reviews 56, 1419-1430, 2016 | 62 | 2016 |
| The probability distribution model of wind speed over east Malaysia N Masseran, AM Razali, K Ibrahim, A Zaharim, K Sopian. Research Journal of Applied Sciences, Engineering and Technology 6 (10 …, 2013 | 60 | 2013 |
| Integrated approach for the determination of an accurate wind-speed distribution model N Masseran Energy Conversion and Management 173, 56-64, 2018 | 55 | 2018 |
| Compositional time series analysis for air pollution index data NA AL-Dhurafi, N Masseran, ZH Zamzuri Stochastic Environmental Research and Risk Assessment 32 (10), 2903-2911, 2018 | 42 | 2018 |
| Modeling the stochastic dependence of air pollution index data Y Alyousifi, N Masseran, K Ibrahim Stochastic Environmental Research and Risk Assessment, 1-9, 2017 | 42 | 2017 |
| Modeling air quality in main cities of Peninsular Malaysia by using a generalized Pareto model N Masseran, AM Razali, K Ibrahim, MT Latif Environmental monitoring and assessment 188 (1), 65, 2016 | 39 | 2016 |
| Modeling the fluctuations of wind speed data by considering their mean and volatility effects N Masseran Renewable and Sustainable Energy Reviews 54, 777-784, 2016 | 37 | 2016 |
| Wind energy potential assessment using Weibull distribution with various numerical estimation methods: a case study in Mersing and Port Dickson, Malaysia MAM Safari, N Masseran, MHA Majid Theoretical and Applied Climatology 148 (3), 1085-1110, 2022 | 31 | 2022 |
| Intensity–duration–frequency approach for risk assessment of air pollution events N Masseran, MAM Safari Journal of Environmental Management 264, 110429, 2020 | 29 | 2020 |
| Application of the single imputation method to estimate missing wind speed data in Malaysia N Masseran, AM Razali, K Ibrahim, A Zaharim, K Sopian. Research Journal of Applied Sciences, Engineering and Technology 6 (10 …, 2013 | 28 | 2013 |
| On spatial analysis of wind energy potential in Malaysia N Masseran, AM Razali, K Ibrahim, WZW Zin, A Zaharim WSEAS Transactions on Mathematics 11 (6), 467-477, 2012 | 28 | 2012 |
| Copula modelling on the dynamic dependence structure of multiple air pollutant variables N Masseran, SI Hussain Mathematics 8 (11), 1910, 2020 | 27 | 2020 |
| Risk assessment of extreme air pollution based on partial duration series: IDF approach N Masseran, MAM Safari Stochastic Environmental Research and Risk Assessment 34 (3), 545-559, 2020 | 27 | 2020 |
| Optimal threshold for Pareto tail modelling in the presence of outliers MAM Safari, N Masseran, K Ibrahim Physica A: Statistical Mechanics and its Applications 509, 169-180, 2018 | 27 | 2018 |
| Modeling Fluctuation of PM10 Data with Existence of Volatility Effect N Masseran Environmental Engineering Science, 2017 | 27 | 2017 |
Azami ZaharimProfessor of Statistics and Engineering Education UKMVerified email at ukm.edu.my
